From 313381b70d36e98af8459aa8a76dbc135d2b017d Mon Sep 17 00:00:00 2001 From: hinojosa Date: Mon, 15 Aug 2016 12:36:59 +0200 Subject: [PATCH 01/37] Added some missing files --- .gitignore | 1 + .../combischeme/CombiMinMaxScheme.cpp | 1 + .../fullgrid/DistributedFullGrid.hpp | 8 +- .../manager/ProcessGroupManager.cpp | 38 +++ .../manager/ProcessGroupManager.hpp | 4 + .../manager/ProcessGroupWorker.cpp | 302 ++++++++++++++++++ .../manager/ProcessGroupWorker.hpp | 21 ++ .../manager/ProcessManager.cpp | 157 +++++++++ .../manager/ProcessManager.hpp | 110 +++++++ .../distributedcombigrid/mpi/MPISystem.hpp | 2 - .../distributedcombigrid/mpi/MPIUtils.hpp | 9 + 11 files changed, 647 insertions(+), 6 deletions(-) diff --git a/.gitignore b/.gitignore index 12b79ab77..dc6c55f66 100644 --- a/.gitignore +++ b/.gitignore @@ -62,3 +62,4 @@ coverage # ignoring uq tests datadriven/tests/uq/ +/Debug/ diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/combischeme/CombiMinMaxScheme.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/combischeme/CombiMinMaxScheme.cpp index 93c679cf2..427a2929f 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/combischeme/CombiMinMaxScheme.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/combischeme/CombiMinMaxScheme.cpp @@ -157,6 +157,7 @@ void CombiMinMaxScheme::computeCombiCoeffsClassical(){ LevelType p = n_ - l1; // Classical combination coefficients coefficients_.push_back(std::pow(-1, p)*boost::math::binomial_coefficient(effDim_ - 1, p) ); + } } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fullgrid/DistributedFullGrid.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fullgrid/DistributedFullGrid.hpp index 80787b603..5264b692d 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fullgrid/DistributedFullGrid.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fullgrid/DistributedFullGrid.hpp @@ -946,10 +946,10 @@ class DistributedFullGrid { CombiDataType minAbsVal = std::min(std::abs(*it_sub[subFgId]), std::abs(fullgridVector_[i])); *it_sub[subFgId] += coeff * fullgridVector_[i]; // todo: what is a good tolerance? - if (minAbsVal > 1e-6){ - *it_sub[subFgId] = std::abs(*it_sub[subFgId]); - *it_sub[subFgId] /= minAbsVal; - } +// if (minAbsVal > 1e-6){ +// *it_sub[subFgId] = std::abs(*it_sub[subFgId]); +// *it_sub[subFgId] /= minAbsVal; +// } ++it_sub[subFgId]; } } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp index 179e77746..3ce5a3880 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp @@ -146,6 +146,34 @@ bool ProcessGroupManager::addTask( Task* t ) { } +bool ProcessGroupManager::recompute( Task* t ) { + // first check status + // tying to add a task to a busy group is an invalid operation + // and should be avoided + if (status_ != PROCESS_GROUP_WAIT) + return false; + + // add task to list of tasks managed by this pgroup + tasks_.push_back(t); + + // send add task signal to pgroup + SignalType signal = RECOMPUTE; + MPI_Send(&signal, 1, MPI_INT, pgroupRootID_, signalTag, theMPISystem()->getGlobalComm()); + + // send task + Task::send( &t, pgroupRootID_, theMPISystem()->getGlobalComm() ); + + // set status + status_ = PROCESS_GROUP_BUSY; + + // start non-blocking MPI_IRecv to receive status + recvStatus(); + + // only return true if task successfully send to pgroup + return true; +} + + void ProcessGroupManager::recvStatus(){ // start non-blocking call to receive status MPI_Irecv(&status_, 1, MPI_INT, pgroupRootID_, statusTag, theMPISystem()->getGlobalComm(), @@ -153,4 +181,14 @@ void ProcessGroupManager::recvStatus(){ } +bool ProcessGroupManager::recoverCommunicators(){ + assert( status_ == PROCESS_GROUP_WAIT ); + + // send signal to pgroup + SignalType signal = RECOVER_COMM; + MPI_Send(&signal, 1, MPI_INT, pgroupRootID_, signalTag, theMPISystem()->getGlobalComm()); + + return true; +} + } /* namespace combigrid */ diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp index d48b7a471..dfcea4de9 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp @@ -76,6 +76,10 @@ class ProcessGroupManager { bool addTask( Task* ); + bool recompute( Task* ); + + bool recoverCommunicators(); + private: RankType pgroupRootID_; // rank in GlobalComm of the master process of this group diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 581d685e3..ed2a26b97 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -162,6 +162,40 @@ SignalType ProcessGroupWorker::wait() { updateCombiParameters(); + } else if (signal == RECOMPUTE) { + Task* t; + + // local root receives task + MASTER_EXCLUSIVE_SECTION { + Task::receive(&t, theMPISystem()->getManagerRank(), theMPISystem()->getGlobalComm()); + } + + // broadcast task to other process of pgroup + Task::broadcast(&t, theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm()); + + MPI_Barrier(theMPISystem()->getLocalComm()); + + // add task to task storage + tasks_.push_back(t); + + status_ = PROCESS_GROUP_BUSY; + + // set currentTask + currentTask_ = tasks_.back(); + + // initalize task + currentTask_->init(theMPISystem()->getLocalComm()); + + currentTask_->setZero(); + + // fill task with combisolution + setCombinedSolutionUniform( currentTask_ ); + + // execute task + currentTask_->run(theMPISystem()->getLocalComm()); +// } else if ( signal == RECOVER_COMM ){ +// theMPISystem()->recoverCommunicators( true ); +// return signal; } @@ -271,6 +305,8 @@ void ProcessGroupWorker::combineUniform() { dfg.registerUniformSG(*combinedUniDSG_); } + compareSDCPairs( 3 ); + for (Task* t : tasks_) { DistributedFullGrid& dfg = t->getDistributedFullGrid(); @@ -282,6 +318,7 @@ void ProcessGroupWorker::combineUniform() { dfg.addToUniformSG( *combinedUniDSG_, combiParameters_.getCoeff( t->getID() ) ); } + CombiCom::distributedGlobalReduce( *combinedUniDSG_ ); for (Task* t : tasks_) { @@ -409,6 +446,271 @@ void ProcessGroupWorker::setCombinedSolutionUniform( Task* t ) { DistributedHierarchization::dehierarchize( dfg ); } +void ProcessGroupWorker::compareSDCPairs( int numNearestNeighbors ){ + + /* Generate all pairs of grids */ + std::vector> allPairs; + + generatePairs( numNearestNeighbors, allPairs ); + + std::vector allBetas; + std::vector allSubs; + std::vector allJs; + + MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); + + for (auto pair : allPairs){ + + DistributedFullGrid& dfg_s = pair[0]->getDistributedFullGrid(); + DistributedFullGrid& dfg_t = pair[1]->getDistributedFullGrid(); + + LevelVector s_level = pair[0]->getLevelVector(); + LevelVector t_level = pair[1]->getLevelVector(); + + DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( + combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), + combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); + + dfg_s.registerUniformSG( *SDCUniDSG ); + dfg_t.registerUniformSG( *SDCUniDSG ); + + dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); + dfg_t.addToUniformSG( *SDCUniDSG, -1.0, true ); + + LevelVector common_level; + for (size_t i = 0; i < s_level.size(); ++i) + common_level.push_back( (s_level[i] <= t_level[i]) ? s_level[i] : t_level[i] ); + + CombiDataType localBetaMax(0.0); + LevelVector subMax; + size_t jMax; + + for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ + if (SDCUniDSG->getLevelVector(i) <= common_level){ + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j){ + if (std::abs(subData[j]) > std::abs(localBetaMax)){ +// localBetaMax = std::abs(subData[j]); + localBetaMax = subData[j]; + subMax = SDCUniDSG->getLevelVector(i); + jMax = j; + } + } +// localBeta = *std::max_element(subData, subData + subSize); + } + } + allBetas.push_back( localBetaMax ); + allSubs.push_back( subMax ); + allJs.push_back( jMax ); + } + + std::vector allBetasReduced; + allBetasReduced.resize(allBetas.size()); + + CombiCom::BetasReduce( allBetas, allBetasReduced, theMPISystem()->getLocalComm() ); + + auto globalBetaMax = std::max_element(allBetasReduced.begin(), allBetasReduced.end(), + [](CombiDataType a, CombiDataType b){ return std::abs(a) < std::abs(b); } ); + + auto b = std::find( allBetas.begin(), allBetas.end(), *globalBetaMax ); + + if(b != allBetas.end()) { + + size_t indMax = std::distance(allBetas.begin(), b); + + allBetas.clear(); + + LevelVector subMax = allSubs[indMax]; + size_t jMax = allJs[indMax]; + + for (auto pair : allPairs){ + + DistributedFullGrid& dfg_s = pair[0]->getDistributedFullGrid(); + DistributedFullGrid& dfg_t = pair[1]->getDistributedFullGrid(); + + LevelVector s_level = pair[0]->getLevelVector(); + LevelVector t_level = pair[1]->getLevelVector(); + + DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( + combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), + combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); + + dfg_s.registerUniformSG( *SDCUniDSG ); + dfg_t.registerUniformSG( *SDCUniDSG ); + + dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); + dfg_t.addToUniformSG( *SDCUniDSG, -1.0, true ); + + LevelVector common_level; + for (size_t i = 0; i < s_level.size(); ++i) + common_level.push_back( (s_level[i] <= t_level[i]) ? s_level[i] : t_level[i] ); + + if (subMax <= common_level){ + auto subData = SDCUniDSG->getData(subMax); +// CombiDataType localBetaMax = std::abs(subData[jMax]); + CombiDataType localBetaMax = subData[jMax]; + allBetas.push_back( localBetaMax ); + } + + } + +// betasFile_<getLevelVector()<<","<getLevelVector()<<","<< allBetas[ind] <getLevelVector()<<","<getLevelVector()<<","<< allBetas[ind] <getLevelVector()<<", "<getLevelVector()<<": "<< allBetas[ind] << std::endl; + betas_[std::make_pair(allPairs[ind][0]->getLevelVector(), allPairs[ind][1]->getLevelVector())] = allBetas[ind]; + } + + searchForSDC(); + } + MPI_File_close(&betasFile_); +} + +void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vector> &allPairs){ + std::vector levels; + + for ( auto tt: tasks_ ){ + levels.push_back(tt->getLevelVector()); + } + for (Task* s : tasks_ ){ + +// std::cout<<"Unsorted levels, s = " << s->getLevelVector() << std::endl; +// for(auto tt : levels) +// std::cout<getLevelVector()) < l1(b - s->getLevelVector()); + }); + +// std::cout<<"Sorted tasks, s = " << s->getLevelVector() << std::endl; +// for(auto tt : levels) +// std::cout< currentPair; + + Task* t = *std::find_if(tasks_.begin(), tasks_.end(), + [levels,t_i](Task* const &tt) -> bool { return tt->getLevelVector() == levels[t_i]; }); + + currentPair.push_back(t); + currentPair.push_back(s); + + if(std::find(allPairs.begin(), allPairs.end(), currentPair) == allPairs.end()){ + allPairs.push_back({currentPair[1],currentPair[0]}); + k++; + } + + if (k == numNearestNeighbors) + break; + } + } +} + +void ProcessGroupWorker::searchForSDC(){ + + // Number of measurements (beta values) + size_t n = betas_.size(); + + auto lmin = combiParameters_.getLMin(); + auto lmax = combiParameters_.getLMax(); + size_t diff = lmax[0] - lmin[0] + 1; + + // Number of unknowns (functions D1, D2, and D12) + size_t p = 2*diff + diff*(diff+1)/2; + + if ( n < p ) + return; + + gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc (gsl_multifit_robust_default , n , p ); + + gsl_matrix *X = gsl_matrix_alloc( n, p ); + gsl_vector *y = gsl_vector_alloc( n ); + gsl_vector *c = gsl_vector_alloc( p ); + gsl_vector *r = gsl_vector_alloc( n ); + gsl_matrix *cov = gsl_matrix_alloc( p, p ); + + IndexType idx_D1, idx_D2, idx_D12; + auto idx = [](int d, int i){ + std::vector numbers(i); + std::iota(numbers.begin(), numbers.end(),d-i+1); + return std::accumulate(numbers.begin(), numbers.end(), 0); + }; + + int row = 0; + for( auto const &entry : betas_ ){ + LevelVector key_t = entry.first.first; + LevelVector key_s = entry.first.second; + CombiDataType beta = entry.second; + + std::vector ht = {1.0/pow(2,key_t[0]), 1.0/pow(2,key_t[1])}; + std::vector hs = {1.0/pow(2,key_s[0]), 1.0/pow(2,key_s[1])}; + + for( size_t i = 0; i < key_t.size(); ++i ){ + key_t[i] -= lmin[0]; + key_s[i] -= lmin[0]; + } + + idx_D1 = key_t[0]; + gsl_matrix_set( X, row, idx_D1, pow(ht[0],2) ); + + idx_D1 = key_s[0]; + gsl_matrix_set( X, row, idx_D1, pow(-hs[0],2) ); + + idx_D2 = diff + key_t[1]; + gsl_matrix_set( X, row, idx_D2, pow(ht[1],2) ); + + idx_D2 = diff + key_s[1]; + gsl_matrix_set( X, row, idx_D2, pow(-hs[1],2) ); + + idx_D12 = 2*diff + idx(diff,key_t[1]) + key_t[0]; + gsl_matrix_set( X, row, idx_D12, pow(ht[0]*ht[1],2) ); + + idx_D12 = 2*diff + idx(diff,key_s[1]) + key_s[0]; + gsl_matrix_set( X, row, idx_D12, pow(-hs[0]*hs[1],2) ); + + gsl_vector_set( y, row, beta ); + + row++; + } + + gsl_multifit_robust( X, y, c, cov, regressionWsp ); + gsl_multifit_robust_residuals( X, y, c, r, regressionWsp ); + + // Write coefficients to file + std::stringstream buf; + buf << " " << c->size << std::endl; + for( size_t i = 0; i < c->size; ++i){ + buf << c->data[i]<data[i]<data[row] << std::endl; +// row++; +// } + gsl_matrix_free(X); + gsl_matrix_free(cov); + gsl_vector_free(y); + gsl_vector_free(c); + gsl_vector_free(r); + gsl_multifit_robust_free(regressionWsp); +} // void addToUniformSG(DistributedSparseGridUniform& dsg, // real coeff) { diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp index 57e96a1b3..48667df60 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp @@ -14,6 +14,8 @@ #include "sgpp/distributedcombigrid/mpi/MPISystem.hpp" #include "sgpp/distributedcombigrid/task/Task.hpp" +#include + namespace combigrid { class ProcessGroupWorker { @@ -45,6 +47,21 @@ class ProcessGroupWorker { void updateCombiParameters(); + /* Computes the difference between all pairs of combination solutions + * (or only between neighboring ones if onlyNearestNeighbors = true) + * according to the paper on SDC detection. If the difference is large, + * a soft fault might have occurred. */ + void compareSDCPairs( int numNearestNeighbors ); + + /* Generates a list of pairs of tasks, so that for each task + * that a worker has, we find its K nearest neighbors. The distance + * between two tasks is the l1 norm of the difference of their level vectors: + * distance(task_s, task_t) = |s - t|_1 + * */ + void generatePairs( int numNearestNeighbors, std::vector> &allPairs); + + void searchForSDC(); + private: TaskContainer tasks_; // task storage @@ -62,6 +79,10 @@ class ProcessGroupWorker { bool combiParametersSet_; + MPI_File betasFile_; + + std::map , CombiDataType> betas_; + void setCombinedSolutionUniform( Task* t ); }; diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp index 30a7ebc90..91e8c3ca3 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp @@ -100,6 +100,163 @@ void ProcessManager::updateCombiParameters() { } } +/* + * Compute the group faults that occured at this combination step using the fault simulator + */ +void +ProcessManager::getGroupFaultIDs( std::vector& faultsID ) { + for( auto p : pgroups_ ){ + StatusType status = p->waitStatus(); + + if( status == PROCESS_GROUP_FAIL ){ + TaskContainer failedTasks = p->getTaskContainer(); + for( auto task : failedTasks ) + faultsID.push_back(task->getID()); + } + } +} + + +void ProcessManager::redistribute( std::vector& taskID ) { + for (size_t i = 0; i < taskID.size(); ++i) { + // find id in list of tasks + Task* t = NULL; + + for ( Task* tmp : tasks_ ) { + if ( tmp->getID() == taskID[i] ) { + t = tmp; + break; + } + } + + assert( t != NULL ); + + // wait for available process group + ProcessGroupManagerID g = wait(); + + // assign instance to group + g->addTask( t ); + } + + size_t numWaiting = 0; + + while (numWaiting != pgroups_.size()) { + numWaiting = 0; + + for (size_t i = 0; i < pgroups_.size(); ++i) { + if (pgroups_[i]->getStatus() == PROCESS_GROUP_WAIT) + ++numWaiting; + } + + } + + std::cout << "Redistribute finished" << std::endl; +} + + +void ProcessManager::recompute( std::vector& taskID ) { + for (size_t i = 0; i < taskID.size(); ++i) { + // find id in list of tasks + Task* t = NULL; + + for ( Task* tmp : tasks_ ) { + if ( tmp->getID() == taskID[i] ) { + t = tmp; + break; + } + } + + assert( t != NULL ); + + // wait for available process group + ProcessGroupManagerID g = wait(); + + // assign instance to group + g->recompute( t ); + } + + size_t numWaiting = 0; + + while (numWaiting != pgroups_.size()) { + numWaiting = 0; + + for (size_t i = 0; i < pgroups_.size(); ++i) { + if (pgroups_[i]->getStatus() == PROCESS_GROUP_WAIT) + ++numWaiting; + } + + } + + std::cout << "Recompute finished" << std::endl; +} + + +void ProcessManager::recoverCommunicators(){ + waitAllFinished(); + + // send recover communicators signal to alive groups + for( ProcessGroupManagerID g : pgroups_ ){ + if( g->getStatus() == PROCESS_GROUP_WAIT ){ + g->recoverCommunicators(); + } + } + +// theMPISystem()->recoverCommunicators( true ); + + // remove failed groups from group list and set new + // todo: this is rather error prone. this relies on the previous functions + // to have removed all processes of failed groups and that the order of + // processes has not changed + pgroups_.erase( + std::remove_if( pgroups_.begin(), + pgroups_.end(), + [] (const ProcessGroupManagerID& p) { + return (p->getStatus() == PROCESS_GROUP_FAIL); } ), + pgroups_.end() ); + + for( size_t i=0; isetMasterRank( int(i) ); + } +} + +void ProcessManager::recover(){ + + std::vector faultsID; + getGroupFaultIDs(faultsID); + + /* call optimization code to find new coefficients */ + const std::string prob_name = "interpolation based optimization"; + std::vector redistributeFaultsID, recomputeFaultsID; + recomputeOptimumCoefficients(prob_name, faultsID, redistributeFaultsID, recomputeFaultsID); + + /* recover communicators*/ + recoverCommunicators(); + + /* redistribute failed tasks to living groups */ + redistribute(faultsID); + + /* communicate new combination scheme*/ + updateCombiParameters(); + + /* if some tasks have to be recomputed, do so*/ + if(!recomputeFaultsID.empty()) + recompute(recomputeFaultsID); +} + +void ProcessManager::restoreCombischeme() { + + LevelVector lmin = params_.getLMin(); + LevelVector lmax = params_.getLMax(); + CombiMinMaxScheme combischeme(params_.getDim(), lmin, lmax); + combischeme.createAdaptiveCombischeme(); + combischeme.makeFaultTolerant(); + std::vector levels = combischeme.getCombiSpaces(); + std::vector coeffs = combischeme.getCoeffs(); + + for (size_t i = 0; i < levels.size(); ++i){ + params_.setCoeff( params_.getID(levels[i]), coeffs[i] ); + } +} bool ProcessManager::waitAllFinished(){ bool group_failed = false; diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp index f3c346abd..9011d8238 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp @@ -15,6 +15,7 @@ #include "sgpp/distributedcombigrid/sparsegrid/SGrid.hpp" #include "sgpp/distributedcombigrid/task/Task.hpp" #include "sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp" +#include "sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.hpp" #include "sgpp/distributedcombigrid/combischeme/CombiMinMaxScheme.hpp" namespace combigrid { @@ -60,13 +61,42 @@ class ProcessManager { inline void gridEval(FullGrid& fg); + /* Generates no_faults random faults from the combischeme */ + inline void + createRandomFaults( std::vector& faultIds, int no_faults ); + + inline void + recomputeOptimumCoefficients( std::string prob_name, + std::vector& faultsID, + std::vector& redistributefaultsID, + std::vector& recomputeFaultsID); + inline Task* getTask( int taskID ); void updateCombiParameters(); + + /* Computes group faults in current combi scheme step */ + void + getGroupFaultIDs( std::vector& faultsID ); + inline CombiParameters& getCombiParameters(); + void redistribute( std::vector& taskID ); + + void recompute( std::vector& taskID ); + + void recover(); + + void recoverCommunicators(); + + /* After faults have been fixed, we need to return the combischeme + * to the original combination technique*/ + void restoreCombischeme(); + + + private: ProcessGroupManagerContainer& pgroups_; @@ -215,6 +245,86 @@ CombiParameters& ProcessManager::getCombiParameters() { } +/* + * Create a certain given number of random faults, considering that the faulty processes + * simply cannot give the evaluation results, but they are still available in the MPI + * communication scheme (the nodes are not dead) + */ +inline void +ProcessManager::createRandomFaults( std::vector& faultIds, int no_faults ) { + int fault_id; + + // create random faults + int j = 0; + while (j < no_faults) { + fault_id = generate_random_fault( static_cast( params_.getNumLevels() ) ); + if (j == 0 || std::find(faultIds.begin(), faultIds.end(), fault_id) == faultIds.end()){ + faultIds.push_back(fault_id); + j++; + } + } +} + +/* + * Recompute coefficients for the combination technique based on given grid faults using + * an optimization scheme + */ +inline void +ProcessManager::recomputeOptimumCoefficients(std::string prob_name, + std::vector& faultsID, + std::vector& redistributeFaultsID, + std::vector& recomputeFaultsID) { + + CombigridDict given_dict = params_.getCombiDict(); + + std::map IDsToLevels = params_.getLevelsDict(); + LevelVectorList faultLevelVectors; + for (auto id : faultsID) + faultLevelVectors.push_back(IDsToLevels[id]); + + + LevelVectorList lvlminmax; + lvlminmax.push_back(params_.getLMin()); + lvlminmax.push_back(params_.getLMax()); + LP_OPT_INTERP opt_interp(lvlminmax,static_cast(params_.getDim()),GLP_MAX,given_dict,faultLevelVectors); + if ( opt_interp.getNumFaults() != 0 ) { + + opt_interp.init_opti_prob(prob_name); + opt_interp.set_constr_matrix(); + opt_interp.solve_opti_problem(); + + LevelVectorList recomputeLevelVectors; + CombigridDict new_dict = opt_interp.get_results(recomputeLevelVectors); + + LevelVectorList newLevels; + std::vector newCoeffs; + std::vector newTaskIDs; + + int numLevels = int(params_.getNumLevels()); + for( int i = 0; i < numLevels; ++i ){ + LevelVector lvl = params_.getLevel(i); + + newLevels.push_back(lvl); + newCoeffs.push_back(new_dict[lvl]); + newTaskIDs.push_back(i); + } + + params_.setLevelsCoeffs(newTaskIDs, newLevels, newCoeffs); + + std::map LevelsToIDs = params_.getLevelsToIDs(); + for(auto l : recomputeLevelVectors){ + recomputeFaultsID.push_back(LevelsToIDs[l]); + } + + std::sort(faultsID.begin(), faultsID.end()); + std::sort(recomputeFaultsID.begin(), recomputeFaultsID.end()); + + std::set_difference(faultsID.begin(), faultsID.end(), + recomputeFaultsID.begin(), recomputeFaultsID.end(), + std::inserter(redistributeFaultsID, redistributeFaultsID.begin())); + } +} + inline Task* ProcessManager::getTask( int taskID ){ diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPISystem.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPISystem.hpp index 8021902f7..620e26f23 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPISystem.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPISystem.hpp @@ -99,8 +99,6 @@ class MPISystem { inline size_t getNumProcs() const; - void recoverCommunicators( bool groupAlive ); - private: explicit MPISystem(); diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPIUtils.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPIUtils.hpp index 1c0c65418..1279bd0dc 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPIUtils.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPIUtils.hpp @@ -109,6 +109,15 @@ class MPIUtils { } } + static void MAX_ABS(double *a, double *b, int *len, MPI_Datatype *dtype) { + for( int i = 0; i < *len; ++i ){ + if (std::abs(*a) > std::abs(*b)) + *b = *a; + a++; b++; + } + // + } + }; } From 4c464f49800ddec74f216646bd7246eb2bf27a85 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Mon, 15 Aug 2016 12:36:32 +0200 Subject: [PATCH 02/37] Added soft fault detection functions to clean sg++ 2.0.0 --- .../combicom/CombiCom.hpp | 23 +- .../fault_tolerance/FTUtils.cpp | 505 ++++++++++++++++++ .../fault_tolerance/FTUtils.hpp | 144 +++++ .../fault_tolerance/LPOptimization.hpp | 57 ++ .../LPOptimizationInterpolation.cpp | 347 ++++++++++++ .../LPOptimizationInterpolation.hpp | 82 +++ 6 files changed, 1145 insertions(+), 13 deletions(-) create mode 100644 distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp create mode 100644 distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp create mode 100644 distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimization.hpp create mode 100644 distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.cpp create mode 100644 distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.hpp diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/combicom/CombiCom.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/combicom/CombiCom.hpp index a92b6e239..178572bed 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/combicom/CombiCom.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/combicom/CombiCom.hpp @@ -9,6 +9,7 @@ #define COMBICOM_HPP_ #include "sgpp/distributedcombigrid/mpi/MPISystem.hpp" +#include "sgpp/distributedcombigrid/mpi/MPIUtils.hpp" #include "sgpp/distributedcombigrid/fullgrid/FullGrid.hpp" #include "sgpp/distributedcombigrid/sparsegrid/SGrid.hpp" #include "sgpp/distributedcombigrid/utils/StatsContainer.hpp" @@ -49,7 +50,7 @@ class CombiCom { static void FGAllreduce(FullGrid& fg, MPI_Comm comm); template - static void BetasReduce( std::vector& betas, RankType r, MPI_Comm comm); + static void BetasReduce( std::vector& betas, std::vector& betasReduced, MPI_Comm comm); // multiply dfg with coeff and add to dsg. dfg will not be changed template @@ -279,20 +280,15 @@ inline void CombiCom::FGAllreduce >( MPI_DOUBLE_COMPLEX, MPI_SUM, comm); } template<> -inline void CombiCom::BetasReduce( std::vector& betas, RankType r, MPI_Comm comm ){ +inline void CombiCom::BetasReduce( std::vector& betas, std::vector& betasReduced, + MPI_Comm comm ){ - int myrank; - MPI_Comm_rank(comm, &myrank); + MPI_Op OP_MAX_ABS; - std::vector recvBetas(betas.size()); + MPI_Op_create((MPI_User_function *) MPIUtils::MAX_ABS, 1, &OP_MAX_ABS ); - if ( myrank == r ) { - MPI_Reduce( MPI_IN_PLACE, &betas[0], static_cast(betas.size()), - MPI_DOUBLE, MPI_MAX, r, comm); - } else { - MPI_Reduce(&betas[0], &recvBetas[0], static_cast(betas.size()), - MPI_DOUBLE, MPI_MAX, r, comm); - } + MPI_Allreduce(betas.data(), betasReduced.data(), static_cast(betas.size()), MPI_DOUBLE, OP_MAX_ABS, comm); + MPI_Op_free( &OP_MAX_ABS ); } template @@ -311,7 +307,8 @@ void CombiCom::FGAllreduce(FullGrid& fg, MPI_Comm comm) { } template -void CombiCom::BetasReduce(std::vector& betas, RankType r, MPI_Comm comm) { +void CombiCom::BetasReduce(std::vector& betas, std::vector& betasReduced, + MPI_Comm comm) { assert(!"this type is not yet implemented"); } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp new file mode 100644 index 000000000..b2477f775 --- /dev/null +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp @@ -0,0 +1,505 @@ +#include "sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp" + +namespace combigrid { +template +T str_to_number(const std::string& no) { + T value; + std::stringstream stream(no); + stream >> value; + + if (stream.fail()) { + std::runtime_error e(no); + std::cout << "Error in the conversion of " << no << "!" << std::endl; + throw e; + } + + return value; +} + +template +void remove(std::vector& vec, size_t pos) { + auto it = vec.begin(); + std::advance(it, pos); + vec.erase(it); +} + +std::string python_code_caller(const std::string& script_name, + const LevelVectorList& levels, const int& dim) { + LevelType levels_no = 0; + LevelType level_size = 0; + LevelType one_level = 0; + std::stringstream caller; + + levels_no = static_cast(levels.size()); + level_size = static_cast(levels[0].size()); + + caller << "python " << script_name << " " << dim << " "; + + for (int i = 0; i < levels_no; ++i) { + for (int j = 0; j < level_size; ++j) { + one_level = levels[i][j]; + caller << one_level << " "; + } + } + + return caller.str(); +} + +CombigridDict get_python_data(const std::string& script_run, const int& dim) { + FILE* stream; + char buffer[256]; + std::string level_x_str; + std::string level_y_str; + std::string coeff_str; + + double coeff = 0.0; + + CombigridDict dict; + + stream = popen(script_run.c_str(), "r"); + + if (stream) { + while (!feof(stream)) { + if (fgets(buffer, sizeof(buffer), stream) != NULL) { + std::string one_level_str; + int one_level = 0; + LevelVector levels; + std::stringstream temp(buffer); + + for (int i = 0; i < dim; ++i) { + temp >> one_level_str; + one_level = str_to_number(one_level_str); + levels.push_back(one_level); + } + + temp >> coeff_str; + coeff = str_to_number(coeff_str); + + dict.insert(std::make_pair(levels, coeff)); + } + } + + pclose(stream); + } else { + throw "Error reading script output!"; + } + + return dict; +} + +matrix create_M_matrix(const CombigridDict& aux_downset, const int& dim) { + int size_downset = static_cast(aux_downset.size()); + int i = 0; + int j = 0; + + matrix M(size_downset, std::vector(size_downset, 0.0)); + + for (auto ii = aux_downset.begin(); ii != aux_downset.end(); ++ii) { + i = static_cast(ii->second); + j = 0; + + LevelVector w; + for (int it = 0; it < dim; ++it) { + w.push_back(ii->first[it]); + } + + for (auto jj = aux_downset.begin(); jj != aux_downset.end(); ++jj) { + LevelVector c; + for (int it = 0; it < dim; ++it) { + c.push_back(jj->first[it]); + } + j = static_cast(jj->second); + + if (test_greater(c, w)) { + M[i][j] = 1.0; + } else { + M[i][j] = 0.0; + } + } + } + + return M; +} + +matrix get_inv_M(const CombigridDict& aux_downset, const int& dim) { + int size_downset = static_cast(aux_downset.size()); + int i = 0; + int j = 0; + + std::valarray c(dim); + std::valarray w(dim); + std::valarray diff(dim); + std::valarray zeros(0, dim); + + matrix M_inv(size_downset, std::vector(size_downset, 0.0)); + + for (auto ii = aux_downset.begin(); ii != aux_downset.end(); ++ii) { + i = static_cast(ii->second); + for (int it = 0; it < dim; ++it) { + w[it] = static_cast(ii->first[it]); + } + + for (auto jj = ii; jj != aux_downset.end(); ++jj) { + j = static_cast(jj->second); + for (int it = 0; it < dim; ++it) { + c[it] = static_cast(jj->first[it]); + } + + diff = c - w; + + if (((diff.sum() > 0) || (diff.sum() <= dim)) + && ((diff.max() <= 1) && (diff >= zeros).min())) { + M_inv[i][j] = pow(-1, diff.sum()); + } + } + } + + return M_inv; +} + +CombigridDict set_entire_downset_dict(const LevelVectorList levels, + const CombigridDict& received_dict, const int& dim) { + LevelVector level_min = levels.front(); + LevelVector level_max = levels.back(); + CombigridDict active_downset; + CombigridDict output; + + LevelVector level_active_downset; + + LevelVector level; + LevelVectorList all_levels; + LevelVectorList feasible_levels; + + double key = 0.0; + + all_levels = mindex(dim, level_max); + + for (auto ii = received_dict.begin(); ii != received_dict.end(); ++ii) { + if (ii->second > 0.0) { + active_downset.insert(std::make_pair(ii->first, ii->second)); + } + } + + for (auto ii = active_downset.begin(); ii != active_downset.end(); ++ii) { + level_active_downset = ii->first; + + for (unsigned int i = 0; i < all_levels.size(); ++i) { + if (test_greater(level_active_downset, all_levels[i]) + && test_greater(all_levels[i], level_min)) { + feasible_levels.push_back(all_levels[i]); + } + } + } + + for (unsigned int i = 0; i < feasible_levels.size(); ++i) { + level = feasible_levels[i]; + auto ii = received_dict.find(level); + + if (ii != received_dict.end()) { + key = ii->second; + output.insert(std::make_pair(level, key)); + } else { + key = 0.0; + output.insert(std::make_pair(level, key)); + } + } + + return output; +} + +CombigridDict create_aux_entire_dict(const CombigridDict& entire_downset, + const int& dim) { + real key = 0; + int i = 0; + + CombigridDict aux_dict; + + for (auto ii = entire_downset.begin(); ii != entire_downset.end(); ++ii) { + LevelVector levels; + key = static_cast(i); + + for (int i = 0; i < dim; ++i) { + levels.push_back(ii->first[i]); + } + + ++i; + aux_dict.insert(std::make_pair(levels, key)); + } + + return aux_dict; +} + +LevelVectorList get_downset_indices(const CombigridDict& entire_downset, + const int& dim) { + LevelVectorList indices; + + for (auto ii = entire_downset.begin(); ii != entire_downset.end(); ++ii) { + LevelVector index; + + for (int i = 0; i < dim; ++i) { + index.push_back(ii->first[i]); + } + + indices.push_back(index); + } + + return indices; +} + +LevelVectorList filter_faults(const LevelVectorList& faults_input, const IndexType& l_max, + const CombigridDict& received_dict) { + int no_faults = 0; + int level_fault = 0; + LevelVectorList faults_output; + + no_faults = static_cast(faults_input.size()); + + for (int i = 0; i < no_faults; ++i) { + auto it = received_dict.find(faults_input[i]); + + if (it != received_dict.end()) { + level_fault = std::accumulate(faults_input[i].begin(), + faults_input[i].end(), 0); + + if ((level_fault == l_max) || (level_fault == (l_max - 1))) { + faults_output.push_back(faults_input[i]); + } + } + } + + return faults_output; +} + +CombigridDict create_out_dict(const CombigridDict& given_downset, + const std::vector& new_c, const int& dim) { + real key = 0; + int i = 0; + + CombigridDict out_dict; + + for (auto ii = given_downset.begin(); ii != given_downset.end(); ++ii) { + LevelVector levels; + key = new_c[i]; + + for (int i = 0; i < dim; ++i) { + levels.push_back(ii->first[i]); + } + + ++i; + out_dict.insert(std::make_pair(levels, key)); + } + + return out_dict; +} + +std::string set_aux_var_name(const std::string& var_name, const int& index) { + std::stringstream aux_var; + aux_var << var_name << index; + + return aux_var.str(); +} +// generate integer random numbers between 0 and #levels-1 +int generate_random_fault(const int& no_of_levels) { + std::random_device dev; + std::mt19937 rng(dev()); + std::uniform_int_distribution rand_num(0, no_of_levels - 1); + + return rand_num(rng); +} + +std::vector gen_rand(const int& size) { + double rand_var = 0.0; + std::vector output; + + for (int i = 0; i < size; ++i) { + rand_var = 1e-2 * (std::rand() % 10); + output.push_back(rand_var); + } + + return output; +} + +int get_size_downset(const std::vector& level_max, const int& dim) { + int size = 1; + int min_level_max = *std::min_element(level_max.begin(), level_max.end()); + + for (int i = 0; i < dim; ++i) { + size *= (min_level_max + i); + } + + size = static_cast(size / (factorial(dim))); + + return size; +} + +int l1_norm(const LevelVector& u) { + int norm = 0; + + for (auto elem : u) { + norm += abs(static_cast(elem)); + } + + return norm; +} + +int factorial(const int& dim) { + int fact = 0; + + if (dim == 0 || dim == 1) { + fact = 1; + } else { + fact = dim * factorial(dim - 1); + } + + return fact; +} + +bool test_greater(const LevelVector& b, const LevelVector& a) { + int dim = static_cast(a.size()); + bool test = true; + + for (int i = 0; i < dim; ++i) { + test *= (b[i] >= a[i]) ? true : false; + } + + return test; +} + +LevelVectorList mindex(const int& dimension, const LevelVector& level_max) { + int j = 0; + int norm = 0; + IndexType sum_level_max = 0; + + LevelVector temp(dimension, 1); + LevelVectorList mindex_result; + + auto upper_limit = std::max_element(level_max.begin(), level_max.end()); + + for (auto elem : level_max) { + sum_level_max += elem; + } + + while (true) { + norm = l1_norm(temp); + + if (norm <= sum_level_max) { + mindex_result.push_back(temp); + } + + for (j = dimension - 1; j >= 0; --j) { + if (++temp[j] <= *upper_limit) + break; + else + temp[j] = 1; + } + + if (j < 0) + break; + } + + return mindex_result; +} + +LevelVectorList check_dimensionality(const LevelVectorList& input_levels, + LevelVector& ignored_dimensions) { + LevelVector l_min = input_levels[0]; + LevelVector l_max = input_levels[1]; + + LevelVector new_l_min; + LevelVector new_l_max; + LevelVectorList new_levels; + + for ( size_t i = 0; i < l_min.size(); ++i) { + if (l_max[i] == l_min[i]) { + ignored_dimensions.push_back(i); + } else { + new_l_min.push_back(l_min[i]); + new_l_max.push_back(l_max[i]); + } + } + + new_levels.push_back(new_l_min); + new_levels.push_back(new_l_max); + + return new_levels; +} + +LevelVectorList check_faults(const LevelVectorList& input_faults, + const LevelVector& ignored_dimensions) { + LevelVectorList new_faults; + + for (unsigned int i = 0; i < input_faults.size(); ++i) { + LevelVector new_fault; + + for (unsigned int j = 0; j < input_faults[0].size(); ++j) { + if (std::find(ignored_dimensions.begin(), ignored_dimensions.end(), j) + == ignored_dimensions.end()) { + new_fault.push_back(input_faults[i][j]); + } + } + + new_faults.push_back(new_fault); + } + + return new_faults; +} + +CombigridDict set_new_given_dict(const CombigridDict& given_dict, + const LevelVector& ignored_dimensions, const int& dim) { + real key = 0.0; + CombigridDict new_given_dict; + + for (auto ii = given_dict.begin(); ii != given_dict.end(); ++ii) { + LevelVector new_level; + + for (int i = 0; i < dim; ++i) { + if (std::find(ignored_dimensions.begin(), ignored_dimensions.end(), i) + == ignored_dimensions.end()) { + new_level.push_back(ii->first[i]); + } + } + + key = ii->second; + new_given_dict.insert(std::make_pair(new_level, key)); + } + + return new_given_dict; +} + +void check_input_levels(const LevelVectorList& levels) { + LevelVector l_min = levels[0]; + LevelVector l_max = levels[1]; + LevelVector c; + + for (unsigned int i = 0; i < l_min.size(); ++i) { + c.push_back(l_max[i] - l_min[i]); + } + + if (std::adjacent_find(c.begin(), c.end(), std::not_equal_to()) + == c.end()) { + std::cout << "Correct input levels!" << std::endl; + } else { + std::cout << "Input levels are incorrect!" << std::endl; + std::cout + << "Please input them of the form: l_max = l_min + c*ones(dim), c>=1, integer" + << std::endl; + exit(0); + } +} + +std::vector select_coeff_downset(const std::vector& all_c, + const CombigridDict& given_downset, const CombigridDict& aux_downset) { + int given_downset_index = 0; + std::vector donwset_c; + + for (auto ii = aux_downset.begin(); ii != aux_downset.end(); ++ii) { + if (given_downset.find(ii->first) != given_downset.end()) { + given_downset_index = static_cast(ii->second); + donwset_c.push_back(all_c.at(given_downset_index)); + } + } + + return donwset_c; +} + +} // namespace combigrid diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp new file mode 100644 index 000000000..658fef65d --- /dev/null +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp @@ -0,0 +1,144 @@ +#ifndef HELPER_HPP_ +#define HELPER_HPP_ + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include "sgpp/distributedcombigrid/utils/Types.hpp" +#include "sgpp/distributedcombigrid/utils/LevelVector.hpp" + +namespace combigrid { + +typedef std::vector> matrix; +typedef std::map IdToLevelDict; +typedef std::map CombigridDict; +typedef std::vector LevelVectorList; + +/* used to convert a string to a number in any format */ +template +T str_to_number(const std::string& no); + +/* used to remove a vector element of vec from position pos */ +template +void remove(std::vector& vec, size_t pos); + +/* used for calling the python code as python script_name level_min level_max */ +std::string python_code_caller(const std::string& script_name, + const LevelVectorList& levels, const int& dim); + +/* used to get data for the GCP when minimizing the interpolation error */ +CombigridDict get_python_data(const std::string& script_run, const int& dim); + +/* used to create the M matrix for the interpolation based problem */ +matrix create_M_matrix(const CombigridDict& aux_downset, const int& dim); + +/* used to create the inverse of M */ +matrix get_inv_M(const CombigridDict& aux_downset, const int& dim); + +/* used to create the inverse of M matrix for the interpolation based problem */ +CombigridDict set_entire_downset_dict(const LevelVectorList levels, + const CombigridDict& received_dict, const int& dim); + +/* used to get a vector of the entire downset indices */ +LevelVectorList get_downset_indices(const CombigridDict& entire_downset, + const int& dim); + +/* used to filter the input LevelVectorList faults such that only faults from the partial downset + (input from python) are considered */ +LevelVectorList filter_faults(const LevelVectorList& faults_input, const IndexType& l_max, + const CombigridDict& received_dict); + +/* used to create an entire downset dictionary used for setting up the M matrix */ +CombigridDict create_aux_entire_dict(const CombigridDict& entire_downset, + const int& dim); + +/* used to print the new dictionary after the optimization is performed */ +CombigridDict create_out_dict(const CombigridDict& given_downset, + const std::vector& new_c, const int& dim); + +/* used to set the row and column variables for the optimization problem */ +std::string set_aux_var_name(const std::string& var_name, const int& index); + +/* generates no_of_levels random faults */ +int generate_random_fault(const int& no_of_levels); + +/* used to generate random variables for the W matrix in the optimization problem */ +std::vector gen_rand(const int& size); + +/* used to compute the size of the downset */ +int get_size_downset(const LevelVector& level_max, const int& dim); + +/* used to compute the L1 norm of a vector */ +int l1_norm(const LevelVector& u); + +/* used to compute factorial; needed to compute size of the downset */ +int factorial(const int& dim); + +/* test whether b >= a */ +bool test_greater(const LevelVector& b, const LevelVector& a); + +/* used to create a multi-index based on maximum level */ +LevelVectorList mindex(const int& dimension, const LevelVector& level_max); + +/* used to check input levels dimensionality */ +LevelVectorList check_dimensionality(const LevelVectorList& input_levels, + LevelVector& ignored_dimensions); + +/* used to ignore certain dimensions of the input faults based on input levels & ignored dimension */ +LevelVectorList check_faults(const LevelVectorList& input_faults, + const LevelVector& ignored_dimensions); + +/* used to create a new dictionary, based on the given dictionary and the ignored dimensions */ +CombigridDict set_new_given_dict(const CombigridDict& given_dict, + const LevelVector& ignored_dimensions, const int& dim); + +/* used to check whether the input levels are correct */ +/* i.e. they satisfy: l_max - l_min = c*ones(dim) */ +void check_input_levels(const LevelVectorList& levels); + +/* used to extract only the coefficients output by the optimization problem */ +/* which correspond to levels from the given downset */ +std::vector select_coeff_downset(const std::vector& all_c, + const CombigridDict& given_downset, const CombigridDict& aux_downset); + + +/* contains information about fault simulation: +** numFaults_: how many faults occur +** iterationFaults_: vector of timesteps at which processes fail +** globalRankFaults_: global rank of process that fails +**/ +struct FaultsInfo { +public: + int numFaults_; + IndexVector iterationFaults_; + IndexVector globalRankFaults_; + IndexVector taskFaults_; +private: + friend class boost::serialization::access; + // serialize + template + void serialize(Archive& ar, const unsigned int version); +}; + + +template +void FaultsInfo::serialize(Archive& ar, const unsigned int version) { + ar& numFaults_; + ar& iterationFaults_; + ar& globalRankFaults_; + ar& taskFaults_; +} + +} // namespace combigrid +#endif /* HELPER_HPP_ */ diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimization.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimization.hpp new file mode 100644 index 000000000..3dc8133d5 --- /dev/null +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimization.hpp @@ -0,0 +1,57 @@ +#ifndef LPOPT_HPP_ +#define LPOPT_HPP_ + +#include +#include +#include +#include +#include +#include +#include + +#include "sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp" + +#include "glpk.h" + + +namespace combigrid { + +class LP_OPT { +protected: + /* optimization type: GLP_MIN or GLP_MAX */ + int opt_type; + + /* glp problem; used in every glpk function */ + glp_prob* i_lp_prob; + + /* constraint matrix */ + std::vector constr_mat; + /* row index vector for the constraint matrix */ + std::vector row_index; + /* colums index vector for the constraint matrix */ + std::vector col_index; + +public: + /* used for LP optimization problem initialization */ + /* number of auxiliary and structural variables is set */ + /* as well as objective function and the constraints */ + virtual void init_opti_prob(const std::string& prob_name) = 0; + + /* used to set up the constraint matrix and its row and column indices*/ + virtual void set_constr_matrix() = 0; + + /* used to set up the constraint matrix and its row and column indices when it depends on matrix W*/ + virtual void set_constr_matrix(const std::vector& W) = 0; + + /* used to solve the linear programming problem, using the simplex algorithm */ + virtual void solve_opti_problem() const = 0; + + /* used to get the output of the LP problem, i.e. c and d vectors */ + virtual CombigridDict get_results(LevelVectorList& faults) const = 0; + + /* destructor; used to deallocate all the allocated memory */ + virtual ~LP_OPT() { + } +}; +} +#endif /* LPOPT_HPP_ */ diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.cpp new file mode 100644 index 000000000..71d939514 --- /dev/null +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.cpp @@ -0,0 +1,347 @@ +#include "sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.hpp" + +namespace combigrid { + +LP_OPT_INTERP::LP_OPT_INTERP() { + i_dim = 0; + i_levels = { {0}}; + level_max = {0}; + no_faults = 0; + l_max = 0; + size_downset = 0; +} + +LP_OPT_INTERP::LP_OPT_INTERP(const LevelVectorList& _levels, const int& _dim, + const int& _opt_type, const CombigridDict& _given_downset, + const LevelVectorList& _input_faults) { + assert(_opt_type == GLP_MIN || _opt_type == GLP_MAX); + i_levels = _levels; + i_dim = _dim; + opt_type = _opt_type; + given_downset = _given_downset; + input_faults = _input_faults; + + new_levels = check_dimensionality(_levels, ignored_dimensions); + new_faults = check_faults(_input_faults, ignored_dimensions); + new_dim = static_cast(new_levels[0].size()); + new_given_downset = set_new_given_dict(given_downset, ignored_dimensions, + _dim); + + //check_input_levels(new_levels); + + level_max = new_levels.back(); + entire_downset = set_entire_downset_dict(new_levels, new_given_downset, + new_dim); + + l_max = new_levels[1][0]; + for (int i = 1; i < new_dim; ++i) { + l_max += new_levels[0][i]; + } + + valid_input_faults = filter_faults(new_faults, l_max, new_given_downset); + + for (auto fault : new_faults ){ + if( std::find( valid_input_faults.begin(), valid_input_faults.end(), fault) == valid_input_faults.end() ) + recompute_faults.push_back(fault); + } + + no_faults = static_cast(valid_input_faults.size()); + + if (no_faults == 0) { + std::cout << "No faults to fix." << std::endl; + i_lp_prob = glp_create_prob(); + } else { + + aux_entire_dict = create_aux_entire_dict(entire_downset, new_dim); + inv_M = get_inv_M(aux_entire_dict, new_dim); + downset_indices = get_downset_indices(entire_downset, new_dim); + + size_downset = static_cast(entire_downset.size()); + total_size = no_faults * size_downset; + + constr_mat.reserve(1 + total_size); + row_index.reserve(1 + total_size); + col_index.reserve(1 + total_size); + + i_lp_prob = glp_create_prob(); + assert(i_lp_prob != NULL); + } +} + +LP_OPT_INTERP::LP_OPT_INTERP(const LP_OPT_INTERP& obj) { + i_levels = obj.i_levels; + i_dim = obj.i_dim; + opt_type = obj.opt_type; + given_downset = obj.given_downset; + input_faults = obj.input_faults; + + new_levels = obj.new_levels; + new_faults = obj.new_faults; + ignored_dimensions = obj.ignored_dimensions; + new_dim = obj.new_dim; + new_given_downset = obj.new_given_downset; + + level_max = obj.level_max; + size_downset = obj.size_downset; + + l_max = obj.l_max; + + valid_input_faults = obj.valid_input_faults; + no_faults = obj.no_faults; + + total_size = obj.total_size; + + entire_downset = obj.entire_downset; + aux_entire_dict = obj.aux_entire_dict; + inv_M = obj.inv_M; + + downset_indices = obj.downset_indices; + + constr_mat = obj.constr_mat; + row_index = obj.row_index; + col_index = obj.col_index; + + i_lp_prob = glp_create_prob(); + assert(i_lp_prob != NULL); + std::memcpy(i_lp_prob, obj.i_lp_prob, 1 * sizeof(i_lp_prob)); +} + +LP_OPT_INTERP& LP_OPT_INTERP::operator=(const LP_OPT_INTERP& rhs) { + if (&rhs == this) { + return *this; + } + + i_levels = rhs.i_levels; + i_dim = rhs.i_dim; + opt_type = rhs.opt_type; + given_downset = rhs.given_downset; + input_faults = rhs.input_faults; + + new_levels = rhs.new_levels; + new_faults = rhs.new_faults; + ignored_dimensions = rhs.ignored_dimensions; + new_dim = rhs.new_dim; + new_given_downset = rhs.new_given_downset; + + level_max = rhs.level_max; + size_downset = rhs.size_downset; + + l_max = rhs.l_max; + + valid_input_faults = rhs.valid_input_faults; + no_faults = rhs.no_faults; + + total_size = rhs.total_size; + + entire_downset = rhs.entire_downset; + aux_entire_dict = rhs.aux_entire_dict; + inv_M = rhs.inv_M; + + downset_indices = rhs.downset_indices; + + constr_mat = rhs.constr_mat; + row_index = rhs.row_index; + col_index = rhs.col_index; + + i_lp_prob = glp_create_prob(); + assert(i_lp_prob != NULL); + std::memcpy(i_lp_prob, rhs.i_lp_prob, 1 * sizeof(i_lp_prob)); + + return *this; +} + +void LP_OPT_INTERP::init_opti_prob(const std::string& prob_name) { + std::string aux_var; + double neg_norm = 0.0; + double coeff = 0.0; + + glp_set_prob_name(i_lp_prob, prob_name.c_str()); + glp_set_obj_dir(i_lp_prob, opt_type); + + glp_add_rows(i_lp_prob, no_faults); + glp_add_cols(i_lp_prob, size_downset); + + for (int i = 0; i < no_faults; ++i) { + aux_var = set_aux_var_name("eq_constr_", i + 1); + glp_set_row_name(i_lp_prob, i + 1, aux_var.c_str()); + glp_set_row_bnds(i_lp_prob, i + 1, GLP_FX, 0.0, 0.0); + } + + for (int i = 0; i < size_downset; ++i) { + neg_norm = -l1_norm(downset_indices[i]); + coeff = pow(4.0, neg_norm); + + aux_var = set_aux_var_name("w", i + 1); + glp_set_col_name(i_lp_prob, i + 1, aux_var.c_str()); + glp_set_col_bnds(i_lp_prob, i + 1, GLP_DB, 0.0, 1.0); + glp_set_obj_coef(i_lp_prob, i + 1, coeff); + glp_set_col_kind(i_lp_prob, i + 1, GLP_BV); + } +} + +void LP_OPT_INTERP::set_constr_matrix() { + int inv_M_row_index = 0; + + for (int i = 0; i < no_faults; ++i) { + auto it = aux_entire_dict.find(valid_input_faults[i]); + + if (it != aux_entire_dict.end()) { + inv_M_row_index = static_cast(it->second); + + for (int j = 0; j < size_downset; ++j) { + constr_mat[j + i * size_downset + 1] = inv_M[inv_M_row_index][j]; + } + } + } + + for (int i = 0; i < no_faults; ++i) { + for (int j = 0; j < size_downset; ++j) { + row_index[j + i * size_downset + 1] = i + 1; + col_index[j + i * size_downset + 1] = j + 1; + } + } +} + +void LP_OPT_INTERP::set_constr_matrix(const std::vector& W) { + /* TO DO: nothing here */ +} + +void LP_OPT_INTERP::solve_opti_problem() const { + glp_load_matrix(i_lp_prob, total_size, &row_index[0], &col_index[0], + &constr_mat[0]); + glp_simplex(i_lp_prob, NULL); + glp_intopt(i_lp_prob, NULL); +} + +CombigridDict LP_OPT_INTERP::get_results( LevelVectorList& recomp_faults ) const { + int status = 0; + + real w_i = 0.0; + real c_i = 0.0; + std::vector w; + std::vector all_c; + std::vector new_c; + + CombigridDict output; + + status = glp_mip_status(i_lp_prob); + + if (status == GLP_OPT) { + for (int i = 0; i < size_downset; ++i) { + w_i = glp_get_col_prim(i_lp_prob, i + 1); + w.push_back(w_i); + } + + for (int i = 0; i < size_downset; ++i) { + c_i = 0.0; + for (int j = 0; j < size_downset; ++j) { + c_i += inv_M[i][j] * w[j]; + } + all_c.push_back(c_i); + } + std::cout << std::endl; + + // Print failed tasks + std::cout << "The following tasks failed:" << std::endl; + for (unsigned int i = 0; i < input_faults.size(); ++i) { + std::cout << "["; + for (int j = 0; j < i_dim; ++j) { + std::cout << input_faults[i][j] << " "; + } + std::cout << "], "; + } + std::cout << std::endl; + + // Print ignored dimensions (if any) + std::cout << "Ignored dimensions" << std::endl; + if (ignored_dimensions.size() == 0) { + std::cout << "None!"; + } + for (unsigned int i = 0; i < ignored_dimensions.size(); ++i) { + std::cout << ignored_dimensions[i] + 1 << " "; + } + std::cout << std::endl; + + // Print faults again, but ignoring those in lower diagonals + std::cout << "Faults relevant for optimization problem:" << std::endl; + for (int i = 0; i < no_faults; ++i) { + std::cout << "["; + for (int j = 0; j < new_dim; ++j) { + std::cout << valid_input_faults[i][j] << " "; + } + std::cout << "], "; + } + std::cout << std::endl; + + // Print all faults from lower diagonals + std::cout << "Faults to be potentially recomputed:" << std::endl; + for ( size_t i = 0; i < recompute_faults.size(); ++i) { + std::cout << "["; + for (int j = 0; j < new_dim; ++j) { + std::cout << recompute_faults[i][j] << " "; + } + std::cout << "], "; + } + std::cout << std::endl; + + new_c = select_coeff_downset(all_c, new_given_downset, aux_entire_dict); + output = create_out_dict(given_downset, new_c, i_dim); + + // Print original combischeme + std::cout << "Combination scheme before optimization: " << std::endl; + for (auto it = given_downset.begin(); it != given_downset.end(); ++it) { + std::cout << "["; + for (int j = 0; j < i_dim; ++j) { + std::cout << it->first[j] << " "; + } + std::cout << "]: " << it->second << ", "; + } + std::cout << std::endl << std::endl; + + // Print new combination scheme + std::cout << "Combination scheme after optimization: " << std::endl; + for (auto it = output.begin(); it != output.end(); ++it) { + std::cout << "["; + for (int j = 0; j < i_dim; ++j) { + std::cout << it->first[j] << " "; + } + std::cout << "]: " << it->second << ", "; + } + std::cout << std::endl; + + // Determine tasks to be recomputed + for (auto fault : recompute_faults){ + if (output[fault] != 0){ + recomp_faults.push_back(fault); + } + } + recompute_faults.clear(); + recompute_faults = recomp_faults; + + // Print tasks to be recomputed + std::cout << "Faults to be recomputed:" << std::endl; + for ( size_t i = 0; i < recomp_faults.size(); ++i) { + std::cout << "["; + for (int j = 0; j < new_dim; ++j) { + std::cout << recomp_faults[i][j] << " "; + } + std::cout << "], "; + } + std::cout << std::endl; + + } else { + std::cout << "Error: Optimal solution not found!" << std::endl; + exit(0); + } + + return output; +} + +int LP_OPT_INTERP::getNumFaults(){ + return no_faults; +} + +LP_OPT_INTERP::~LP_OPT_INTERP() { + glp_delete_prob(i_lp_prob); +} +} diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.hpp new file mode 100644 index 000000000..27e400454 --- /dev/null +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.hpp @@ -0,0 +1,82 @@ +#ifndef LPOPTINTERP_HPP_ +#define LPOPTINTERP_HPP_ + +#include "sgpp/distributedcombigrid/fault_tolerance/LPOptimization.hpp" + +namespace combigrid { + +class LP_OPT_INTERP: public LP_OPT { +private: + /* levels of grid indices */ + LevelVectorList i_levels; + /* top level of grid indices*/ + LevelVector level_max; + /* dimension of the problem */ + int i_dim; + /* total size of the optimization problem */ + int total_size; + + /* new dimensionality after the input levels are checked */ + int new_dim; + /* new levels based on new_dim */ + LevelVectorList new_levels; + /* if it is the case, the dimension(s) that is/are ignored */ + LevelVector ignored_dimensions; + /* if it is the case, new faults, based on ignored dimensions */ + LevelVectorList new_faults; + + /* no. of constraints */ + int no_faults; + /* level max sum */ + IndexType l_max; + + // total size of the optimization problem + /* down set size */ + int size_downset; + + /* inverse of M s.t. w = Mc*/ + matrix inv_M; + + /* given dictionary */ + CombigridDict given_downset; + /* modified given downset based on ignored dimensions */ + CombigridDict new_given_downset; + /* entire donwset with corresponding indices */ + CombigridDict entire_downset; + /* auxiliary dictionary, used to create M and inv(M) */ + CombigridDict aux_entire_dict; + /* downset indices as a 2d vector*/ + LevelVectorList downset_indices; + /* faults input by user */ + LevelVectorList input_faults; + /* faults that are in the given downset from the set of input faults */ + LevelVectorList valid_input_faults; + /* faults that have to be recomputed */ + mutable LevelVectorList recompute_faults; + +public: + LP_OPT_INTERP(); + + LP_OPT_INTERP(const LevelVectorList& _levels, const int& _dim, const int& _opt_type, + const CombigridDict& _given_downset, const LevelVectorList& _input_faults); + + LP_OPT_INTERP(const LP_OPT_INTERP& obj); + + LP_OPT_INTERP& operator=(const LP_OPT_INTERP& rhs); + + virtual void init_opti_prob(const std::string& prob_name); + + virtual void set_constr_matrix(); + + virtual void set_constr_matrix(const std::vector& W); + + virtual int getNumFaults(); + + virtual void solve_opti_problem() const; + + virtual CombigridDict get_results( LevelVectorList& recomp_faults ) const; + + virtual ~LP_OPT_INTERP(); +}; +} +#endif /* LPOPTINTERP_HPP_ */ From 43f9d1e5a1d81dddb08c9df9b5d6e9258a90ead7 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Mon, 15 Aug 2016 16:48:50 +0200 Subject: [PATCH 03/37] Fixed gsl_matrix_set.Results identical to Python. --- .../manager/ProcessGroupWorker.cpp | 66 +++++++++++-------- 1 file changed, 37 insertions(+), 29 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index ed2a26b97..d1c78ca1b 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -555,22 +555,13 @@ void ProcessGroupWorker::compareSDCPairs( int numNearestNeighbors ){ } -// betasFile_<getLevelVector()<<","<getLevelVector()<<","<< allBetas[ind] <getLevelVector()<<","<getLevelVector()<<","<< allBetas[ind] <getLevelVector()<<", "<getLevelVector()<<": "<< allBetas[ind] << std::endl; betas_[std::make_pair(allPairs[ind][0]->getLevelVector(), allPairs[ind][1]->getLevelVector())] = allBetas[ind]; } searchForSDC(); + MPI_File_close( &betasFile_ ); } - MPI_File_close(&betasFile_); } void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vector> &allPairs){ @@ -630,7 +621,9 @@ void ProcessGroupWorker::searchForSDC(){ if ( n < p ) return; - gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc (gsl_multifit_robust_default , n , p ); + gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc (gsl_multifit_robust_fair , n , p ); + + gsl_multifit_robust_maxiter( 1000, regressionWsp ); gsl_matrix *X = gsl_matrix_alloc( n, p ); gsl_vector *y = gsl_vector_alloc( n ); @@ -638,21 +631,27 @@ void ProcessGroupWorker::searchForSDC(){ gsl_vector *r = gsl_vector_alloc( n ); gsl_matrix *cov = gsl_matrix_alloc( p, p ); + // Initialize matrix with zeros + gsl_matrix_set_zero( X ); + IndexType idx_D1, idx_D2, idx_D12; - auto idx = [](int d, int i){ - std::vector numbers(i); + + // Helper function to compute indices of D12 + auto idx = [](IndexType d, IndexType i){ + std::vector numbers(i); std::iota(numbers.begin(), numbers.end(),d-i+1); return std::accumulate(numbers.begin(), numbers.end(), 0); }; int row = 0; + CombiDataType val; for( auto const &entry : betas_ ){ LevelVector key_t = entry.first.first; LevelVector key_s = entry.first.second; CombiDataType beta = entry.second; - std::vector ht = {1.0/pow(2,key_t[0]), 1.0/pow(2,key_t[1])}; - std::vector hs = {1.0/pow(2,key_s[0]), 1.0/pow(2,key_s[1])}; + std::vector ht = {1.0/pow(2.0,key_t[0]), 1.0/pow(2.0,key_t[1])}; + std::vector hs = {1.0/pow(2.0,key_s[0]), 1.0/pow(2.0,key_s[1])}; for( size_t i = 0; i < key_t.size(); ++i ){ key_t[i] -= lmin[0]; @@ -663,19 +662,22 @@ void ProcessGroupWorker::searchForSDC(){ gsl_matrix_set( X, row, idx_D1, pow(ht[0],2) ); idx_D1 = key_s[0]; - gsl_matrix_set( X, row, idx_D1, pow(-hs[0],2) ); + val = gsl_matrix_get( X, row, idx_D1 ); + gsl_matrix_set( X, row, idx_D1, val - pow(hs[0],2) ); idx_D2 = diff + key_t[1]; gsl_matrix_set( X, row, idx_D2, pow(ht[1],2) ); idx_D2 = diff + key_s[1]; - gsl_matrix_set( X, row, idx_D2, pow(-hs[1],2) ); + val = gsl_matrix_get( X, row, idx_D2 ); + gsl_matrix_set( X, row, idx_D2, val - pow(hs[1],2) ); idx_D12 = 2*diff + idx(diff,key_t[1]) + key_t[0]; gsl_matrix_set( X, row, idx_D12, pow(ht[0]*ht[1],2) ); idx_D12 = 2*diff + idx(diff,key_s[1]) + key_s[0]; - gsl_matrix_set( X, row, idx_D12, pow(-hs[0]*hs[1],2) ); + val = gsl_matrix_get( X, row, idx_D12 ); + gsl_matrix_set( X, row, idx_D12, val - pow(hs[0]*hs[1],2) ); gsl_vector_set( y, row, beta ); @@ -685,25 +687,31 @@ void ProcessGroupWorker::searchForSDC(){ gsl_multifit_robust( X, y, c, cov, regressionWsp ); gsl_multifit_robust_residuals( X, y, c, r, regressionWsp ); - // Write coefficients to file + // Write pairs and their beta values to file std::stringstream buf; - buf << " " << c->size << std::endl; + buf<data[row]; + buf << key_t <<","<< key_s <<","<< beta << ", "<< res <size << std::endl; for( size_t i = 0; i < c->size; ++i){ buf << c->data[i]<data[i]<data[row] << std::endl; -// row++; -// } gsl_matrix_free(X); gsl_matrix_free(cov); gsl_vector_free(y); From 3dab28586b286f4cf302488499f8403a5711f29b Mon Sep 17 00:00:00 2001 From: hinojosa Date: Fri, 19 Aug 2016 16:09:09 +0200 Subject: [PATCH 04/37] Changed tuning constant in regression. Seems more robust --- .../manager/ProcessGroupWorker.cpp | 37 +++++++++++-------- 1 file changed, 22 insertions(+), 15 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index d1c78ca1b..b19cf2500 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -292,6 +292,8 @@ void ProcessGroupWorker::combineUniform() { if (combinedUniDSG_ != NULL) delete combinedUniDSG_; + compareSDCPairs( 5 ); + // erzeug dsg combinedUniDSG_ = new DistributedSparseGridUniform(dim, lmax, lmin, boundary, @@ -305,7 +307,6 @@ void ProcessGroupWorker::combineUniform() { dfg.registerUniformSG(*combinedUniDSG_); } - compareSDCPairs( 3 ); for (Task* t : tasks_) { @@ -515,12 +516,13 @@ void ProcessGroupWorker::compareSDCPairs( int numNearestNeighbors ){ auto b = std::find( allBetas.begin(), allBetas.end(), *globalBetaMax ); + betas_.clear(); + if(b != allBetas.end()) { size_t indMax = std::distance(allBetas.begin(), b); allBetas.clear(); - LevelVector subMax = allSubs[indMax]; size_t jMax = allJs[indMax]; @@ -550,14 +552,16 @@ void ProcessGroupWorker::compareSDCPairs( int numNearestNeighbors ){ auto subData = SDCUniDSG->getData(subMax); // CombiDataType localBetaMax = std::abs(subData[jMax]); CombiDataType localBetaMax = subData[jMax]; - allBetas.push_back( localBetaMax ); +// allBetas.push_back( localBetaMax ); + betas_[std::make_pair(s_level, t_level)] = localBetaMax; + std::cout<< s_level <<", "<< t_level <<": "<< localBetaMax << std::endl; } } - for ( size_t ind = 0; ind < allBetas.size(); ++ind ){ - betas_[std::make_pair(allPairs[ind][0]->getLevelVector(), allPairs[ind][1]->getLevelVector())] = allBetas[ind]; - } +// for ( size_t ind = 0; ind < allBetas.size(); ++ind ){ +// betas_[std::make_pair(allPairs[ind][0]->getLevelVector(), allPairs[ind][1]->getLevelVector())] = allBetas[ind]; +// } searchForSDC(); MPI_File_close( &betasFile_ ); @@ -616,12 +620,15 @@ void ProcessGroupWorker::searchForSDC(){ size_t diff = lmax[0] - lmin[0] + 1; // Number of unknowns (functions D1, D2, and D12) - size_t p = 2*diff + diff*(diff+1)/2; +// size_t p = 2*diff + diff*(diff+1)/2; + size_t p = 2*diff; if ( n < p ) return; - gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc (gsl_multifit_robust_fair , n , p ); + gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc (gsl_multifit_robust_default, n , p ); + + gsl_multifit_robust_tune( 0.1, regressionWsp ); gsl_multifit_robust_maxiter( 1000, regressionWsp ); @@ -672,12 +679,12 @@ void ProcessGroupWorker::searchForSDC(){ val = gsl_matrix_get( X, row, idx_D2 ); gsl_matrix_set( X, row, idx_D2, val - pow(hs[1],2) ); - idx_D12 = 2*diff + idx(diff,key_t[1]) + key_t[0]; - gsl_matrix_set( X, row, idx_D12, pow(ht[0]*ht[1],2) ); - - idx_D12 = 2*diff + idx(diff,key_s[1]) + key_s[0]; - val = gsl_matrix_get( X, row, idx_D12 ); - gsl_matrix_set( X, row, idx_D12, val - pow(hs[0]*hs[1],2) ); +// idx_D12 = 2*diff + idx(diff,key_t[1]) + key_t[0]; +// gsl_matrix_set( X, row, idx_D12, pow(ht[0]*ht[1],2) ); +// +// idx_D12 = 2*diff + idx(diff,key_s[1]) + key_s[0]; +// val = gsl_matrix_get( X, row, idx_D12 ); +// gsl_matrix_set( X, row, idx_D12, val - pow(hs[0]*hs[1],2) ); gsl_vector_set( y, row, beta ); @@ -700,7 +707,7 @@ void ProcessGroupWorker::searchForSDC(){ MPI_File_seek(betasFile_, 0, MPI_SEEK_END); MPI_File_write(betasFile_, buf.str().c_str(), buf.str().size(), MPI_CHAR, MPI_STATUS_IGNORE); buf.str(""); - std::cout<< key_t <<", "<< key_s <<": "<< beta << ", "<< res << std::endl; +// std::cout<< key_t <<", "<< key_s <<": "<< beta << ", "<< res << std::endl; row++; } // Write regression coefficients to file From c625585552ccd78c42b613a7d62f33bb50514d87 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Fri, 2 Sep 2016 18:59:55 +0200 Subject: [PATCH 05/37] Recover scheme after detecting SDC --- .../combicom/CombiCom.hpp | 1 + .../fullgrid/DistributedFullGrid.hpp | 6 +- .../manager/CombiParameters.hpp | 1 + .../manager/ProcessGroupManager.cpp | 25 +- .../manager/ProcessGroupManager.hpp | 3 + .../manager/ProcessGroupSignals.hpp | 7 +- .../manager/ProcessGroupWorker.cpp | 287 +++++++++++------- .../manager/ProcessGroupWorker.hpp | 8 +- .../manager/ProcessManager.cpp | 34 ++- .../manager/ProcessManager.hpp | 34 +++ .../distributedcombigrid/mpi/MPIUtils.hpp | 1 - 11 files changed, 280 insertions(+), 127 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/combicom/CombiCom.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/combicom/CombiCom.hpp index 178572bed..29c2f5505 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/combicom/CombiCom.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/combicom/CombiCom.hpp @@ -288,6 +288,7 @@ inline void CombiCom::BetasReduce( std::vector& betas, std::vect MPI_Op_create((MPI_User_function *) MPIUtils::MAX_ABS, 1, &OP_MAX_ABS ); MPI_Allreduce(betas.data(), betasReduced.data(), static_cast(betas.size()), MPI_DOUBLE, OP_MAX_ABS, comm); + MPI_Op_free( &OP_MAX_ABS ); } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fullgrid/DistributedFullGrid.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fullgrid/DistributedFullGrid.hpp index 5264b692d..e01b2981e 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fullgrid/DistributedFullGrid.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fullgrid/DistributedFullGrid.hpp @@ -946,10 +946,10 @@ class DistributedFullGrid { CombiDataType minAbsVal = std::min(std::abs(*it_sub[subFgId]), std::abs(fullgridVector_[i])); *it_sub[subFgId] += coeff * fullgridVector_[i]; // todo: what is a good tolerance? -// if (minAbsVal > 1e-6){ + if (minAbsVal > 1e-6){ // *it_sub[subFgId] = std::abs(*it_sub[subFgId]); -// *it_sub[subFgId] /= minAbsVal; -// } + *it_sub[subFgId] /= minAbsVal; + } ++it_sub[subFgId]; } } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/CombiParameters.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/CombiParameters.hpp index 7b3772ae3..f2ce2cb29 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/CombiParameters.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/CombiParameters.hpp @@ -141,6 +141,7 @@ void CombiParameters::serialize(Archive& ar, const unsigned int version) { ar& boundary_; ar& levels_; ar& coeffs_; + ar& levelsToIDs_; } } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp index 3ce5a3880..1aa6b297a 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp @@ -99,21 +99,19 @@ bool ProcessGroupManager::combine() { } bool ProcessGroupManager::updateCombiParameters(CombiParameters& params) { - // can only send sync signal when in wait state - assert(status_ == PROCESS_GROUP_WAIT); + // can only send sync signal when not in busy state + assert(status_ != PROCESS_GROUP_BUSY); SignalType signal = UPDATE_COMBI_PARAMETERS; MPI_Send(&signal, 1, MPI_INT, pgroupRootID_, signalTag, theMPISystem()->getGlobalComm()); // send combiparameters MPIUtils::sendClass(¶ms, pgroupRootID_, theMPISystem()->getGlobalComm()); - // set status status_ = PROCESS_GROUP_BUSY; // start non-blocking MPI_IRecv to receive status recvStatus(); - return true; } @@ -191,4 +189,23 @@ bool ProcessGroupManager::recoverCommunicators(){ return true; } +bool ProcessGroupManager::searchSDC( SDCMethodType method ){ + + if (status_ != PROCESS_GROUP_WAIT) + return false; + + // send signal to pgroup + SignalType signal = SEARCH_SDC; + MPI_Send(&signal, 1, MPI_INT, pgroupRootID_, signalTag, theMPISystem()->getGlobalComm()); + + // send method to pgroup + MPI_Send(&method, 1, MPI_INT, pgroupRootID_, infoTag, theMPISystem()->getGlobalComm()); + + status_ = PROCESS_GROUP_BUSY; + + // start non-blocking MPI_IRecv to receive status + recvStatus(); + + return true; +} } /* namespace combigrid */ diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp index dfcea4de9..35d54b9b4 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp @@ -80,6 +80,9 @@ class ProcessGroupManager { bool recoverCommunicators(); + bool + searchSDC( SDCMethodType method ); + private: RankType pgroupRootID_; // rank in GlobalComm of the master process of this group diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupSignals.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupSignals.hpp index 4b3cbab4b..837b006d8 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupSignals.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupSignals.hpp @@ -30,6 +30,7 @@ const SignalType ADD_TASK = 13; const SignalType RECOMPUTE = 14; const SignalType CHECK_DEAD_PROCS = 15; // check for dead workers const SignalType RECOVER_COMM = 16; +const SignalType SEARCH_SDC = 17; typedef int NormalizationType; const NormalizationType NO_NORMALIZATION = 0; @@ -37,9 +38,9 @@ const NormalizationType L1_NORMALIZATION = 1; const NormalizationType L2_NORMALIZATION = 2; const NormalizationType EV_NORMALIZATION = 3; -typedef int FaultSimulationType; -const FaultSimulationType RANDOM_FAIL = 0; -const FaultSimulationType GROUPS_FAIL = 1; +typedef int SDCMethodType; +const SDCMethodType COMPARE_PAIRS = 0; +const SDCMethodType COMPARE_VALUES = 1; enum TagType { signalTag = 0, statusTag = 1, infoTag = 2 diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index b19cf2500..a31f37b92 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -17,17 +17,18 @@ #include "sgpp/distributedcombigrid/combicom/CombiCom.hpp" #include "sgpp/distributedcombigrid/hierarchization/DistributedHierarchization.hpp" #include "sgpp/distributedcombigrid/mpi/MPIUtils.hpp" +#include namespace combigrid { ProcessGroupWorker::ProcessGroupWorker() : - currentTask_( NULL), - status_(PROCESS_GROUP_WAIT), - combinedFG_( NULL), - combinedUniDSG_(NULL), - combinedFGexists_(false), - combiParameters_(), - combiParametersSet_(false) + currentTask_( NULL), + status_(PROCESS_GROUP_WAIT), + combinedFG_( NULL), + combinedUniDSG_(NULL), + combinedFGexists_(false), + combiParameters_(), + combiParametersSet_(false) { } @@ -36,7 +37,7 @@ ProcessGroupWorker::~ProcessGroupWorker() { } SignalType ProcessGroupWorker::wait() { - if (status_ != PROCESS_GROUP_WAIT) + if (status_ == PROCESS_GROUP_BUSY) return RUN_NEXT; SignalType signal = -1; @@ -44,15 +45,15 @@ SignalType ProcessGroupWorker::wait() { MASTER_EXCLUSIVE_SECTION { // receive signal from manager MPI_Recv( &signal, 1, MPI_INT, - theMPISystem()->getManagerRank(), - signalTag, - theMPISystem()->getGlobalComm(), - MPI_STATUS_IGNORE); -} + theMPISystem()->getManagerRank(), + signalTag, + theMPISystem()->getGlobalComm(), + MPI_STATUS_IGNORE); + } // distribute signal to other processes of pgroup MPI_Bcast( &signal, 1, MPI_INT, - theMPISystem()->getMasterRank(), - theMPISystem()->getLocalComm() ); + theMPISystem()->getMasterRank(), + theMPISystem()->getLocalComm() ); // process signal if (signal == RUN_FIRST) { @@ -61,8 +62,8 @@ SignalType ProcessGroupWorker::wait() { // local root receives task MASTER_EXCLUSIVE_SECTION { Task::receive( &t, - theMPISystem()->getManagerRank(), - theMPISystem()->getGlobalComm() ); + theMPISystem()->getManagerRank(), + theMPISystem()->getGlobalComm() ); } // broadcast task to other process of pgroup @@ -193,12 +194,13 @@ SignalType ProcessGroupWorker::wait() { // execute task currentTask_->run(theMPISystem()->getLocalComm()); -// } else if ( signal == RECOVER_COMM ){ -// theMPISystem()->recoverCommunicators( true ); -// return signal; + // } else if ( signal == RECOVER_COMM ){ + // theMPISystem()->recoverCommunicators( true ); + // return signal; + } else if (signal == SEARCH_SDC) { + searchSDC(); } - // in the general case: send ready signal. if(!omitReadySignal) ready(); @@ -207,26 +209,24 @@ SignalType ProcessGroupWorker::wait() { } void ProcessGroupWorker::ready() { - if( status_ != PROCESS_GROUP_FAIL ){ - // check if there are unfinished tasks - for (size_t i = 0; i < tasks_.size(); ++i) { - if (!tasks_[i]->isFinished()) { - status_ = PROCESS_GROUP_BUSY; - - // set currentTask - currentTask_ = tasks_[i]; - currentTask_->run(theMPISystem()->getLocalComm()); - } + + // check if there are unfinished tasks + for (size_t i = 0; i < tasks_.size(); ++i) { + if (!tasks_[i]->isFinished()) { + status_ = PROCESS_GROUP_BUSY; + + // set currentTask + currentTask_ = tasks_[i]; + currentTask_->run(theMPISystem()->getLocalComm()); } + } - // all tasks finished -> group waiting + // all tasks finished -> group waiting + if( status_ != PROCESS_GROUP_FAIL ) status_ = PROCESS_GROUP_WAIT; - } - // send ready status to manager MASTER_EXCLUSIVE_SECTION{ StatusType status = status_; - MPI_Send(&status, 1, MPI_INT, theMPISystem()->getManagerRank(), statusTag, theMPISystem()->getGlobalComm()); } @@ -292,8 +292,6 @@ void ProcessGroupWorker::combineUniform() { if (combinedUniDSG_ != NULL) delete combinedUniDSG_; - compareSDCPairs( 5 ); - // erzeug dsg combinedUniDSG_ = new DistributedSparseGridUniform(dim, lmax, lmin, boundary, @@ -307,7 +305,6 @@ void ProcessGroupWorker::combineUniform() { dfg.registerUniformSG(*combinedUniDSG_); } - for (Task* t : tasks_) { DistributedFullGrid& dfg = t->getDistributedFullGrid(); @@ -361,8 +358,8 @@ void ProcessGroupWorker::gridEval() { std::vector tmp(dim); MPI_Recv( &tmp[0], bsize, MPI_INT, - theMPISystem()->getManagerRank(), 0, - theMPISystem()->getGlobalComm(), MPI_STATUS_IGNORE); + theMPISystem()->getManagerRank(), 0, + theMPISystem()->getGlobalComm(), MPI_STATUS_IGNORE); leval = LevelVector(tmp.begin(), tmp.end()); } @@ -386,8 +383,8 @@ void ProcessGroupWorker::gridEval() { } t->getFullGrid( fg, - theMPISystem()->getMasterRank(), - theMPISystem()->getLocalComm() ); + theMPISystem()->getMasterRank(), + theMPISystem()->getLocalComm() ); MASTER_EXCLUSIVE_SECTION{ fg_red.add(fg, combiParameters_.getCoeff( t->getID() ) ); @@ -396,8 +393,8 @@ void ProcessGroupWorker::gridEval() { // global reduce of f_red MASTER_EXCLUSIVE_SECTION { CombiCom::FGReduce( fg_red, - theMPISystem()->getManagerRank(), - theMPISystem()->getGlobalComm() ); + theMPISystem()->getManagerRank(), + theMPISystem()->getGlobalComm() ); } } @@ -431,6 +428,8 @@ void ProcessGroupWorker::updateCombiParameters() { combiParametersSet_ = true; + status_ = PROCESS_GROUP_BUSY; + } @@ -447,7 +446,51 @@ void ProcessGroupWorker::setCombinedSolutionUniform( Task* t ) { DistributedHierarchization::dehierarchize( dfg ); } -void ProcessGroupWorker::compareSDCPairs( int numNearestNeighbors ){ +void ProcessGroupWorker::searchSDC(){ + SDCMethodType method = -1; + MASTER_EXCLUSIVE_SECTION { + // receive signal from manager + MPI_Recv( &method, 1, MPI_INT, + theMPISystem()->getManagerRank(), + infoTag, + theMPISystem()->getGlobalComm(), + MPI_STATUS_IGNORE); + } + // distribute signal to other processes of pgroup + MPI_Bcast( &method, 1, MPI_INT, + theMPISystem()->getMasterRank(), + theMPISystem()->getLocalComm() ); + + int success; + if( method == COMPARE_PAIRS ) + success = comparePairs( 5 ); + if( method == COMPARE_VALUES ) + success = compareValues(); + + std::vector successes; + successes.resize(theMPISystem()->getNumProcs()); + + MPI_Gather( &success, 1, MPI_INT, + &successes[0], 1, MPI_INT, + theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm() ); + + MASTER_EXCLUSIVE_SECTION{ + int failedWorker = std::find(successes.begin(), successes.end(), 0)-successes.begin(); + if ( failedWorker < successes.size() ){ + status_ = PROCESS_GROUP_FAIL; + std::vector levelsSDC; + levelsSDC.resize(tasks_.size()); + MPI_Status statusSDC; + MPI_Recv( &levelsSDC[0], tasks_.size(), MPI_INT, failedWorker, infoTag, theMPISystem()->getLocalComm(), &statusSDC ); + int numTasksSDC; + MPI_Get_count( &statusSDC, MPI_INT, &numTasksSDC ); + levelsSDC.resize( numTasksSDC ); + MPI_Send( &levelsSDC[0], numTasksSDC, MPI_INT, theMPISystem()->getManagerRank(), infoTag, theMPISystem()->getGlobalComm()); + } + } +} + +int ProcessGroupWorker::comparePairs( int numNearestNeighbors ){ /* Generate all pairs of grids */ std::vector> allPairs; @@ -455,6 +498,7 @@ void ProcessGroupWorker::compareSDCPairs( int numNearestNeighbors ){ generatePairs( numNearestNeighbors, allPairs ); std::vector allBetas; + std::vector allBetasSum; std::vector allSubs; std::vector allJs; @@ -462,29 +506,30 @@ void ProcessGroupWorker::compareSDCPairs( int numNearestNeighbors ){ for (auto pair : allPairs){ - DistributedFullGrid& dfg_s = pair[0]->getDistributedFullGrid(); - DistributedFullGrid& dfg_t = pair[1]->getDistributedFullGrid(); + DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); + DistributedFullGrid& dfg_s = pair[1]->getDistributedFullGrid(); - LevelVector s_level = pair[0]->getLevelVector(); - LevelVector t_level = pair[1]->getLevelVector(); + LevelVector t_level = pair[0]->getLevelVector(); + LevelVector s_level = pair[1]->getLevelVector(); DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); - dfg_s.registerUniformSG( *SDCUniDSG ); dfg_t.registerUniformSG( *SDCUniDSG ); + dfg_s.registerUniformSG( *SDCUniDSG ); - dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); - dfg_t.addToUniformSG( *SDCUniDSG, -1.0, true ); + dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); + dfg_s.addToUniformSG( *SDCUniDSG, -1.0, false ); LevelVector common_level; - for (size_t i = 0; i < s_level.size(); ++i) - common_level.push_back( (s_level[i] <= t_level[i]) ? s_level[i] : t_level[i] ); + for (size_t i = 0; i < t_level.size(); ++i) + common_level.push_back( (t_level[i] <= s_level[i]) ? t_level[i] : s_level[i] ); CombiDataType localBetaMax(0.0); + LevelVector subMax; - size_t jMax; + size_t jMax = 0; for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ if (SDCUniDSG->getLevelVector(i) <= common_level){ @@ -492,13 +537,11 @@ void ProcessGroupWorker::compareSDCPairs( int numNearestNeighbors ){ auto subSize = SDCUniDSG->getDataSize(i); for (size_t j = 0; j < subSize; ++j){ if (std::abs(subData[j]) > std::abs(localBetaMax)){ -// localBetaMax = std::abs(subData[j]); localBetaMax = subData[j]; subMax = SDCUniDSG->getLevelVector(i); jMax = j; } } -// localBeta = *std::max_element(subData, subData + subSize); } } allBetas.push_back( localBetaMax ); @@ -512,7 +555,7 @@ void ProcessGroupWorker::compareSDCPairs( int numNearestNeighbors ){ CombiCom::BetasReduce( allBetas, allBetasReduced, theMPISystem()->getLocalComm() ); auto globalBetaMax = std::max_element(allBetasReduced.begin(), allBetasReduced.end(), - [](CombiDataType a, CombiDataType b){ return std::abs(a) < std::abs(b); } ); + [](CombiDataType a, CombiDataType b){ return std::abs(a) < std::abs(b); } ); auto b = std::find( allBetas.begin(), allBetas.end(), *globalBetaMax ); @@ -522,72 +565,75 @@ void ProcessGroupWorker::compareSDCPairs( int numNearestNeighbors ){ size_t indMax = std::distance(allBetas.begin(), b); - allBetas.clear(); LevelVector subMax = allSubs[indMax]; size_t jMax = allJs[indMax]; for (auto pair : allPairs){ - DistributedFullGrid& dfg_s = pair[0]->getDistributedFullGrid(); - DistributedFullGrid& dfg_t = pair[1]->getDistributedFullGrid(); + DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); + DistributedFullGrid& dfg_s = pair[1]->getDistributedFullGrid(); - LevelVector s_level = pair[0]->getLevelVector(); - LevelVector t_level = pair[1]->getLevelVector(); + LevelVector t_level = pair[0]->getLevelVector(); + LevelVector s_level = pair[1]->getLevelVector(); DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); - dfg_s.registerUniformSG( *SDCUniDSG ); dfg_t.registerUniformSG( *SDCUniDSG ); + dfg_s.registerUniformSG( *SDCUniDSG ); - dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); - dfg_t.addToUniformSG( *SDCUniDSG, -1.0, true ); + dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); + dfg_s.addToUniformSG( *SDCUniDSG, -1.0, false ); LevelVector common_level; - for (size_t i = 0; i < s_level.size(); ++i) - common_level.push_back( (s_level[i] <= t_level[i]) ? s_level[i] : t_level[i] ); - - if (subMax <= common_level){ - auto subData = SDCUniDSG->getData(subMax); -// CombiDataType localBetaMax = std::abs(subData[jMax]); - CombiDataType localBetaMax = subData[jMax]; -// allBetas.push_back( localBetaMax ); - betas_[std::make_pair(s_level, t_level)] = localBetaMax; - std::cout<< s_level <<", "<< t_level <<": "<< localBetaMax << std::endl; - } + for (size_t i = 0; i < t_level.size(); ++i) + common_level.push_back( (t_level[i] <= s_level[i]) ? t_level[i] : s_level[i] ); + if (subMax <= common_level){ + auto subData = SDCUniDSG->getData(subMax); + CombiDataType localBetaMax = subData[jMax]; + betas_[std::make_pair(t_level, s_level)] = localBetaMax; + } + else + betas_[std::make_pair(t_level, s_level)] = 0; } -// for ( size_t ind = 0; ind < allBetas.size(); ++ind ){ -// betas_[std::make_pair(allPairs[ind][0]->getLevelVector(), allPairs[ind][1]->getLevelVector())] = allBetas[ind]; -// } + std::vector levelsSDC; + filterSDC( levelsSDC ); - searchForSDC(); MPI_File_close( &betasFile_ ); + + if( levelsSDC.size() != 0 ){ + // status_ = PROCESS_GROUP_FAIL; + // send SDC grids to master + MPI_Request req; + MPI_Isend( &levelsSDC[0], levelsSDC.size(), MPI_INT, theMPISystem()->getMasterRank(), infoTag, theMPISystem()->getLocalComm(), &req ); + return 0; + } } + return 1; } -void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vector> &allPairs){ +int ProcessGroupWorker::compareValues(){ +} + +void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vector> &allPairs ){ + std::vector levels; + std::map numPairs; for ( auto tt: tasks_ ){ levels.push_back(tt->getLevelVector()); + numPairs[tt->getLevelVector()] = 0; } - for (Task* s : tasks_ ){ -// std::cout<<"Unsorted levels, s = " << s->getLevelVector() << std::endl; -// for(auto tt : levels) -// std::cout<getLevelVector()) < l1(b - s->getLevelVector()); }); -// std::cout<<"Sorted tasks, s = " << s->getLevelVector() << std::endl; -// for(auto tt : levels) -// std::cout<getLevelVector()] < numNearestNeighbors + && numPairs[t->getLevelVector()] < numNearestNeighbors ){ allPairs.push_back({currentPair[1],currentPair[0]}); + numPairs[s->getLevelVector()]++; + numPairs[t->getLevelVector()]++; k++; } @@ -610,7 +660,7 @@ void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vector &levelsSDC ){ // Number of measurements (beta values) size_t n = betas_.size(); @@ -620,17 +670,18 @@ void ProcessGroupWorker::searchForSDC(){ size_t diff = lmax[0] - lmin[0] + 1; // Number of unknowns (functions D1, D2, and D12) -// size_t p = 2*diff + diff*(diff+1)/2; + // size_t p = 2*diff + diff*(diff+1)/2; size_t p = 2*diff; + std::cout<<"n = "<< n <<", p = "< ht = {1.0/pow(2.0,key_t[0]), 1.0/pow(2.0,key_t[1])}; std::vector hs = {1.0/pow(2.0,key_s[0]), 1.0/pow(2.0,key_s[1])}; - for( size_t i = 0; i < key_t.size(); ++i ){ key_t[i] -= lmin[0]; key_s[i] -= lmin[0]; @@ -679,18 +729,19 @@ void ProcessGroupWorker::searchForSDC(){ val = gsl_matrix_get( X, row, idx_D2 ); gsl_matrix_set( X, row, idx_D2, val - pow(hs[1],2) ); -// idx_D12 = 2*diff + idx(diff,key_t[1]) + key_t[0]; -// gsl_matrix_set( X, row, idx_D12, pow(ht[0]*ht[1],2) ); -// -// idx_D12 = 2*diff + idx(diff,key_s[1]) + key_s[0]; -// val = gsl_matrix_get( X, row, idx_D12 ); -// gsl_matrix_set( X, row, idx_D12, val - pow(hs[0]*hs[1],2) ); + // idx_D12 = 2*diff + idx(diff,key_t[1]) + key_t[0]; + // gsl_matrix_set( X, row, idx_D12, pow(ht[0]*ht[1],2) ); + // + // idx_D12 = 2*diff + idx(diff,key_s[1]) + key_s[0]; + // val = gsl_matrix_get( X, row, idx_D12 ); + // gsl_matrix_set( X, row, idx_D12, val - pow(hs[0]*hs[1],2) ); gsl_vector_set( y, row, beta ); row++; } + gsl_set_error_handler_off(); gsl_multifit_robust( X, y, c, cov, regressionWsp ); gsl_multifit_robust_residuals( X, y, c, r, regressionWsp ); @@ -706,8 +757,8 @@ void ProcessGroupWorker::searchForSDC(){ buf << key_t <<","<< key_s <<","<< beta << ", "<< res < mapSDC; + for ( auto const &entry : betas_ ){ + LevelVector key_t = entry.first.first; + LevelVector key_s = entry.first.second; + mapSDC[key_t] = 0; + mapSDC[key_s] = 0; + } + + row = 0; + for ( auto const &entry : betas_ ){ + LevelVector key_t = entry.first.first; + LevelVector key_s = entry.first.second; + CombiDataType beta = entry.second; + CombiDataType res = r->data[row]; + if ( std::abs(res) > 2.5 && beta != 0 ){ + mapSDC[key_t]++; + mapSDC[key_s]++; + } + row++; + } + std::cout<< "SDC grid: " << std::endl; + for (auto s : mapSDC){ + if (s.second >= 2){ + int id = combiParameters_.getID(s.first); + levelsSDC.push_back(id); + } + } + gsl_matrix_free(X); gsl_matrix_free(cov); gsl_vector_free(y); diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp index 48667df60..ab10c2b24 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp @@ -47,11 +47,15 @@ class ProcessGroupWorker { void updateCombiParameters(); + void searchSDC(); + /* Computes the difference between all pairs of combination solutions * (or only between neighboring ones if onlyNearestNeighbors = true) * according to the paper on SDC detection. If the difference is large, * a soft fault might have occurred. */ - void compareSDCPairs( int numNearestNeighbors ); + int comparePairs( int numNearestNeighbors ); + + int compareValues(); /* Generates a list of pairs of tasks, so that for each task * that a worker has, we find its K nearest neighbors. The distance @@ -60,7 +64,7 @@ class ProcessGroupWorker { * */ void generatePairs( int numNearestNeighbors, std::vector> &allPairs); - void searchForSDC(); + void filterSDC( std::vector &levelsSDC ); private: TaskContainer tasks_; // task storage diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp index 91e8c3ca3..efa5bb3b5 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp @@ -86,22 +86,23 @@ void ProcessManager::exit() { void ProcessManager::updateCombiParameters() { { bool fail = waitAllFinished(); - - assert( !fail && "should not fail here" ); + // Commented out since not relevant when SDC occurs +// assert( !fail && "should not fail here" ); } for( auto g : pgroups_ ) g->updateCombiParameters(params_); - + std::cout<<"Updated all."; { bool fail = waitAllFinished(); - - assert( !fail && "should not fail here" ); + // Commented out since not relevant when SDC occurs +// assert( !fail && "should not fail here" ); } + std::cout<<"Waiting done"; } /* - * Compute the group faults that occured at this combination step using the fault simulator + * Compute the group faults that occurred at this combination step using the fault simulator */ void ProcessManager::getGroupFaultIDs( std::vector& faultsID ) { @@ -116,6 +117,21 @@ ProcessManager::getGroupFaultIDs( std::vector& faultsID ) { } } +void +ProcessManager::getSDCFaultIDs( std::vector& faultsID ) { + for( auto p : pgroups_ ){ + StatusType status = p->waitStatus(); + if( status == PROCESS_GROUP_FAIL ){ + size_t numTasks = p->getTaskContainer().size(); + faultsID.resize( numTasks ); + MPI_Status statusSDC; + MPI_Recv( &faultsID[0], numTasks , MPI_INT, MPI_ANY_SOURCE, infoTag, theMPISystem()->getGlobalComm(), &statusSDC ); + int numTasksSDC; + MPI_Get_count( &statusSDC, MPI_INT, &numTasksSDC ); + faultsID.resize( numTasksSDC ); + } + } +} void ProcessManager::redistribute( std::vector& taskID ) { for (size_t i = 0; i < taskID.size(); ++i) { @@ -167,7 +183,6 @@ void ProcessManager::recompute( std::vector& taskID ) { } assert( t != NULL ); - // wait for available process group ProcessGroupManagerID g = wait(); @@ -176,13 +191,14 @@ void ProcessManager::recompute( std::vector& taskID ) { } size_t numWaiting = 0; - + std::cout<<"Waiting..."; while (numWaiting != pgroups_.size()) { numWaiting = 0; for (size_t i = 0; i < pgroups_.size(); ++i) { if (pgroups_[i]->getStatus() == PROCESS_GROUP_WAIT) ++numWaiting; + std::cout<<"Status = "<getStatus(); } } @@ -260,13 +276,11 @@ void ProcessManager::restoreCombischeme() { bool ProcessManager::waitAllFinished(){ bool group_failed = false; - int i = 0; for( auto p : pgroups_ ){ StatusType status = p->waitStatus(); if( status == PROCESS_GROUP_FAIL ){ group_failed = true; } - ++i; } return group_failed; diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp index 9011d8238..57ca2ae92 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp @@ -50,6 +50,9 @@ class ProcessManager { bool runnext(); + inline bool + searchSDC( SDCMethodType method ); + inline void combine(); @@ -81,6 +84,10 @@ class ProcessManager { void getGroupFaultIDs( std::vector& faultsID ); + /* Computes group faults in current combi scheme step */ + void + getSDCFaultIDs( std::vector& faultsID ); + inline CombiParameters& getCombiParameters(); void redistribute( std::vector& taskID ); @@ -335,5 +342,32 @@ ProcessManager::getTask( int taskID ){ } return nullptr; } + +/* + */ +bool ProcessManager::searchSDC( SDCMethodType method ) { + // wait until all process groups are in wait state + // after sending the exit signal checking the status might not be possible + size_t numWaiting = 0; + + while (numWaiting != pgroups_.size()) { + numWaiting = 0; + + for (size_t i = 0; i < pgroups_.size(); ++i) { + if (pgroups_[i]->getStatus() == PROCESS_GROUP_WAIT) + ++numWaiting; + } + } + + // send signal to each group + for (size_t i = 0; i < pgroups_.size(); ++i) { + pgroups_[i]->searchSDC( method ); + } + bool group_failed = waitAllFinished(); + // return true if no group failed + return !group_failed; +} + + } /* namespace combigrid */ #endif /* PROCESSMANAGER_HPP_ */ diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPIUtils.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPIUtils.hpp index 1279bd0dc..c0392dd44 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPIUtils.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/mpi/MPIUtils.hpp @@ -115,7 +115,6 @@ class MPIUtils { *b = *a; a++; b++; } - // } }; From ce8f309c4004c146290703d7fc49365828cdd3f4 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Fri, 30 Sep 2016 12:50:28 +0200 Subject: [PATCH 06/37] Doing robust regression with Python functions --- .../fault_tolerance/FTUtils.cpp | 1 - .../fault_tolerance/FTUtils.hpp | 2 + .../manager/ProcessGroupWorker.cpp | 292 +++++++++++++----- .../manager/ProcessGroupWorker.hpp | 8 +- .../manager/ProcessManager.cpp | 4 - 5 files changed, 229 insertions(+), 78 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp index b2477f775..2bbe7e8ac 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp @@ -260,7 +260,6 @@ LevelVectorList filter_faults(const LevelVectorList& faults_input, const IndexTy if (it != received_dict.end()) { level_fault = std::accumulate(faults_input[i].begin(), faults_input[i].end(), 0); - if ((level_fault == l_max) || (level_fault == (l_max - 1))) { faults_output.push_back(faults_input[i]); } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp index 658fef65d..51309ab7f 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp @@ -15,6 +15,8 @@ #include #include #include +#include + #include "sgpp/distributedcombigrid/utils/Types.hpp" #include "sgpp/distributedcombigrid/utils/LevelVector.hpp" diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index a31f37b92..f239ba56b 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -17,6 +17,8 @@ #include "sgpp/distributedcombigrid/combicom/CombiCom.hpp" #include "sgpp/distributedcombigrid/hierarchization/DistributedHierarchization.hpp" #include "sgpp/distributedcombigrid/mpi/MPIUtils.hpp" +#include +#include #include namespace combigrid { @@ -316,7 +318,6 @@ void ProcessGroupWorker::combineUniform() { dfg.addToUniformSG( *combinedUniDSG_, combiParameters_.getCoeff( t->getID() ) ); } - CombiCom::distributedGlobalReduce( *combinedUniDSG_ ); for (Task* t : tasks_) { @@ -461,36 +462,37 @@ void ProcessGroupWorker::searchSDC(){ theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm() ); - int success; + std::vector levelsSDC; if( method == COMPARE_PAIRS ) - success = comparePairs( 5 ); + comparePairs( 2, levelsSDC ); if( method == COMPARE_VALUES ) - success = compareValues(); - - std::vector successes; - successes.resize(theMPISystem()->getNumProcs()); - - MPI_Gather( &success, 1, MPI_INT, - &successes[0], 1, MPI_INT, - theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm() ); - - MASTER_EXCLUSIVE_SECTION{ - int failedWorker = std::find(successes.begin(), successes.end(), 0)-successes.begin(); - if ( failedWorker < successes.size() ){ + compareValues(); + + int numLocalSDC = levelsSDC.size(); + int numGlobalSDC; + MPI_Allreduce( &numLocalSDC, &numGlobalSDC, 1, MPI_INT, MPI_SUM, theMPISystem()->getLocalComm()); + if ( numGlobalSDC > 0 ){ + MPI_Status statusSDC; + if( numLocalSDC > 0 ){ + if (!theMPISystem()->isMaster()){ + MPI_Send( &levelsSDC[0], numLocalSDC, MPI_INT, theMPISystem()->getMasterRank(), infoTag, theMPISystem()->getLocalComm() ); + } + }else{ + MASTER_EXCLUSIVE_SECTION{ + levelsSDC.resize(tasks_.size()); + MPI_Recv( &levelsSDC[0], tasks_.size(), MPI_INT, MPI_ANY_SOURCE, infoTag, theMPISystem()->getLocalComm(), &statusSDC ); + MPI_Get_count( &statusSDC, MPI_INT, &numGlobalSDC ); + levelsSDC.resize(numGlobalSDC); + } + } + MASTER_EXCLUSIVE_SECTION{ status_ = PROCESS_GROUP_FAIL; - std::vector levelsSDC; - levelsSDC.resize(tasks_.size()); - MPI_Status statusSDC; - MPI_Recv( &levelsSDC[0], tasks_.size(), MPI_INT, failedWorker, infoTag, theMPISystem()->getLocalComm(), &statusSDC ); - int numTasksSDC; - MPI_Get_count( &statusSDC, MPI_INT, &numTasksSDC ); - levelsSDC.resize( numTasksSDC ); - MPI_Send( &levelsSDC[0], numTasksSDC, MPI_INT, theMPISystem()->getManagerRank(), infoTag, theMPISystem()->getGlobalComm()); + MPI_Send( &levelsSDC[0], numGlobalSDC, MPI_INT, theMPISystem()->getManagerRank(), infoTag, theMPISystem()->getGlobalComm()); } } } -int ProcessGroupWorker::comparePairs( int numNearestNeighbors ){ +void ProcessGroupWorker::comparePairs( int numNearestNeighbors, std::vector &levelsSDC ){ /* Generate all pairs of grids */ std::vector> allPairs; @@ -502,7 +504,7 @@ int ProcessGroupWorker::comparePairs( int numNearestNeighbors ){ std::vector allSubs; std::vector allJs; - MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); +// MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); for (auto pair : allPairs){ @@ -521,7 +523,6 @@ int ProcessGroupWorker::comparePairs( int numNearestNeighbors ){ dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); dfg_s.addToUniformSG( *SDCUniDSG, -1.0, false ); - LevelVector common_level; for (size_t i = 0; i < t_level.size(); ++i) common_level.push_back( (t_level[i] <= s_level[i]) ? t_level[i] : s_level[i] ); @@ -568,6 +569,8 @@ int ProcessGroupWorker::comparePairs( int numNearestNeighbors ){ LevelVector subMax = allSubs[indMax]; size_t jMax = allJs[indMax]; + int numMeasurements = 0; + for (auto pair : allPairs){ DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); @@ -594,25 +597,18 @@ int ProcessGroupWorker::comparePairs( int numNearestNeighbors ){ auto subData = SDCUniDSG->getData(subMax); CombiDataType localBetaMax = subData[jMax]; betas_[std::make_pair(t_level, s_level)] = localBetaMax; + numMeasurements++; } else betas_[std::make_pair(t_level, s_level)] = 0; } - std::vector levelsSDC; - filterSDC( levelsSDC ); +// if ( numMeasurements >= 5 ) // Otherwise we have too few measurements + filterSDCPython( levelsSDC ); - MPI_File_close( &betasFile_ ); +// MPI_File_close( &betasFile_ ); - if( levelsSDC.size() != 0 ){ - // status_ = PROCESS_GROUP_FAIL; - // send SDC grids to master - MPI_Request req; - MPI_Isend( &levelsSDC[0], levelsSDC.size(), MPI_INT, theMPISystem()->getMasterRank(), infoTag, theMPISystem()->getLocalComm(), &req ); - return 0; - } } - return 1; } int ProcessGroupWorker::compareValues(){ @@ -646,8 +642,9 @@ void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vectorgetLevelVector()] < numNearestNeighbors - && numPairs[t->getLevelVector()] < numNearestNeighbors ){ +// && numPairs[s->getLevelVector()] < numNearestNeighbors +// && numPairs[t->getLevelVector()] < numNearestNeighbors + ){ allPairs.push_back({currentPair[1],currentPair[0]}); numPairs[s->getLevelVector()]++; numPairs[t->getLevelVector()]++; @@ -658,6 +655,42 @@ void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vectorgetLevelVector()]; + if ( k < numNearestNeighbors ){ + + std::sort(levels.begin(), levels.end(), [s](LevelVector const& a, LevelVector const& b) { + return l1(a - s->getLevelVector()) < l1(b - s->getLevelVector()); + }); + + + for( size_t t_i = 1; t_i < levels.size(); ++t_i ){ + std::vector currentPair; + std::vector currentPairBack; + + Task* t = *std::find_if(tasks_.begin(), tasks_.end(), + [levels,t_i](Task* const &tt) -> bool { return tt->getLevelVector() == levels[t_i]; }); + + currentPair.push_back(s); + currentPair.push_back(t); + currentPairBack.push_back(t); + currentPairBack.push_back(s); + + if(std::find(allPairs.begin(), allPairs.end(), currentPair) == allPairs.end() && + std::find(allPairs.begin(), allPairs.end(), currentPairBack) == allPairs.end()){ + allPairs.push_back({currentPair[1],currentPair[0]}); + numPairs[s->getLevelVector()]++; + numPairs[t->getLevelVector()]++; + k++; + } + + if (k == numNearestNeighbors) + break; + } + } + } } void ProcessGroupWorker::filterSDC( std::vector &levelsSDC ){ @@ -672,14 +705,16 @@ void ProcessGroupWorker::filterSDC( std::vector &levelsSDC ){ // Number of unknowns (functions D1, D2, and D12) // size_t p = 2*diff + diff*(diff+1)/2; size_t p = 2*diff; +// size_t p = 1; + double ex = 2; - std::cout<<"n = "<< n <<", p = "< &levelsSDC ){ // Initialize matrix with zeros gsl_matrix_set_zero( X ); - IndexType idx_D1, idx_D2, idx_D12; +// IndexType idx_D1, idx_D2, idx_D12; + IndexType idx_D1, idx_D2; // Helper function to compute indices of D12 - auto idx = [](IndexType d, IndexType i){ - std::vector numbers(i); - std::iota(numbers.begin(), numbers.end(),d-i+1); - return std::accumulate(numbers.begin(), numbers.end(), 0); - }; +// auto idx = [](IndexType d, IndexType i){ +// std::vector numbers(i); +// std::iota(numbers.begin(), numbers.end(),d-i+1); +// return std::accumulate(numbers.begin(), numbers.end(), 0); +// }; int row = 0; CombiDataType val; @@ -716,34 +752,95 @@ void ProcessGroupWorker::filterSDC( std::vector &levelsSDC ){ } idx_D1 = key_t[0]; - gsl_matrix_set( X, row, idx_D1, pow(ht[0],2) ); + gsl_matrix_set( X, row, idx_D1, pow(ht[0],ex) ); idx_D1 = key_s[0]; val = gsl_matrix_get( X, row, idx_D1 ); - gsl_matrix_set( X, row, idx_D1, val - pow(hs[0],2) ); + gsl_matrix_set( X, row, idx_D1, val - pow(hs[0],ex) ); idx_D2 = diff + key_t[1]; - gsl_matrix_set( X, row, idx_D2, pow(ht[1],2) ); + gsl_matrix_set( X, row, idx_D2, pow(ht[1],ex) ); idx_D2 = diff + key_s[1]; val = gsl_matrix_get( X, row, idx_D2 ); - gsl_matrix_set( X, row, idx_D2, val - pow(hs[1],2) ); + gsl_matrix_set( X, row, idx_D2, val - pow(hs[1],ex) ); - // idx_D12 = 2*diff + idx(diff,key_t[1]) + key_t[0]; - // gsl_matrix_set( X, row, idx_D12, pow(ht[0]*ht[1],2) ); - // - // idx_D12 = 2*diff + idx(diff,key_s[1]) + key_s[0]; - // val = gsl_matrix_get( X, row, idx_D12 ); - // gsl_matrix_set( X, row, idx_D12, val - pow(hs[0]*hs[1],2) ); +// idx_D12 = 2*diff + idx(diff,key_t[1]) + key_t[0]; +// gsl_matrix_set( X, row, idx_D12, pow(ht[0]*ht[1],2) ); +// +// idx_D12 = 2*diff + idx(diff,key_s[1]) + key_s[0]; +// val = gsl_matrix_get( X, row, idx_D12 ); +// gsl_matrix_set( X, row, idx_D12, val - pow(hs[0]*hs[1],2) ); + +// val = pow(ht[0],ex)+pow(hs[0],ex) + pow(ht[1],ex)+pow(hs[1],ex); +// gsl_matrix_set( X, row, 0, val ); gsl_vector_set( y, row, beta ); row++; } + for (int i = 0; i < n; i++){ /* OUT OF RANGE ERROR */ + for (int j = 0; j < p; j++) + std::cout<< gsl_matrix_get(X, i, j) <<" "; + std::cout<data[i]) > kappa ) + kappa = std::abs(c->data[i]); + + std::cout<<"s_mad = "< bound ){ +// mapSDC[key_t]++; +// mapSDC[key_s]++; +// } + row++; + } + + std::cout<< "SDC grid: " << std::endl; + for (auto s : mapSDC){ + if (s.second >= 2 || (s.second == 1 && numSDCPairs == 1)){ + std::cout< &levelsSDC ){ LevelVector key_s = entry.first.second; CombiDataType beta = entry.second; CombiDataType res = r->data[row]; - buf << key_t <<","<< key_s <<","<< beta << ", "<< res < &levelsSDC ){ buf.str(""); } + gsl_matrix_free(X); + gsl_matrix_free(cov); + gsl_vector_free(y); + gsl_vector_free(c); + gsl_vector_free(r); + gsl_multifit_robust_free(regressionWsp); +} + +void ProcessGroupWorker::filterSDCPython( std::vector &levelsSDC ){ + + // Number of measurements (beta values) + size_t n = betas_.size(); + + auto lmin = combiParameters_.getLMin(); + auto lmax = combiParameters_.getLMax(); + size_t diff = lmax[0] - lmin[0] + 1; + + // Number of unknowns (functions D1, D2, and D12) + size_t p = 2*diff; + + if ( n < p ) + return; + + namespace py = boost::python; + + Py_Initialize(); + py::object main_module = py::import("__main__"); + py::dict main_namespace = py::extract(main_module.attr("__dict__")); + main_namespace["lmin"] = lmin[0]; + main_namespace["lmax"] = lmax[0]; +// py::exec("betasDict = {}",main_namespace); + py::exec("t_train = [] \n" + "y_train = []",main_namespace); + py::dict dictionary; + for( auto const &entry : betas_ ){ + py::list l1,l2; + for(auto v: entry.first.first) + l1.append(v); + for(auto v: entry.first.second) + l2.append(v); + main_namespace["l1"] = l1; + main_namespace["l2"] = l2; + main_namespace["beta"] = entry.second; +// py::exec("betasDict[tuple(l1),tuple(l2)] = beta", main_namespace); + py::exec("t_train.append((tuple(l1),tuple(l2))) \n" + "y_train.append(beta)", main_namespace); + } + try{ + py::object result = py::exec_file("outlier.py", main_namespace); + } + catch (py::error_already_set) { + PyErr_Print(); + } + py::object r_stand_lms = main_namespace["r_stand_lms"]; + std::vector stand_residuals; + for(size_t i = 0; i < n; ++i) + stand_residuals.push_back(py::extract(r_stand_lms[i])); std::map mapSDC; for ( auto const &entry : betas_ ){ LevelVector key_t = entry.first.first; @@ -777,35 +931,29 @@ void ProcessGroupWorker::filterSDC( std::vector &levelsSDC ){ mapSDC[key_t] = 0; mapSDC[key_s] = 0; } - - row = 0; - for ( auto const &entry : betas_ ){ + size_t row = 0; + size_t numSDCPairs = 0; + double eps = 2.5; + for( auto const &entry : betas_ ){ LevelVector key_t = entry.first.first; LevelVector key_s = entry.first.second; CombiDataType beta = entry.second; - CombiDataType res = r->data[row]; - if ( std::abs(res) > 2.5 && beta != 0 ){ + if ( std::abs(stand_residuals[row]) > eps && beta != 0 ){ mapSDC[key_t]++; mapSDC[key_s]++; + numSDCPairs++; } row++; } std::cout<< "SDC grid: " << std::endl; for (auto s : mapSDC){ - if (s.second >= 2){ + if (s.second >= 2 || (s.second == 1 && numSDCPairs == 1)){ + std::cout<& dsg, // real coeff) { // // test if dsg has already been registered diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp index ab10c2b24..8e883ad21 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp @@ -13,8 +13,12 @@ #include "sgpp/distributedcombigrid/manager/ProcessGroupSignals.hpp" #include "sgpp/distributedcombigrid/mpi/MPISystem.hpp" #include "sgpp/distributedcombigrid/task/Task.hpp" +#include "sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp" #include +#include +#include +#include namespace combigrid { @@ -53,7 +57,7 @@ class ProcessGroupWorker { * (or only between neighboring ones if onlyNearestNeighbors = true) * according to the paper on SDC detection. If the difference is large, * a soft fault might have occurred. */ - int comparePairs( int numNearestNeighbors ); + void comparePairs( int numNearestNeighbors, std::vector &levelsSDC ); int compareValues(); @@ -66,6 +70,8 @@ class ProcessGroupWorker { void filterSDC( std::vector &levelsSDC ); + void filterSDCPython( std::vector &levelsSDC ); + private: TaskContainer tasks_; // task storage diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp index efa5bb3b5..61da9d230 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp @@ -92,13 +92,11 @@ void ProcessManager::updateCombiParameters() { for( auto g : pgroups_ ) g->updateCombiParameters(params_); - std::cout<<"Updated all."; { bool fail = waitAllFinished(); // Commented out since not relevant when SDC occurs // assert( !fail && "should not fail here" ); } - std::cout<<"Waiting done"; } /* @@ -191,14 +189,12 @@ void ProcessManager::recompute( std::vector& taskID ) { } size_t numWaiting = 0; - std::cout<<"Waiting..."; while (numWaiting != pgroups_.size()) { numWaiting = 0; for (size_t i = 0; i < pgroups_.size(); ++i) { if (pgroups_[i]->getStatus() == PROCESS_GROUP_WAIT) ++numWaiting; - std::cout<<"Status = "<getStatus(); } } From 06643363c38b432a72a90dbca01a51356e8e5067 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Sat, 29 Oct 2016 09:48:15 +0200 Subject: [PATCH 07/37] SDC detection works but failed tasks are not reset correctly --- .../fault_tolerance/FTUtils.hpp | 8 +- .../hierarchization/Hierarchization.hpp | 13 +- .../manager/ProcessGroupManager.cpp | 22 ++ .../manager/ProcessGroupManager.hpp | 2 + .../manager/ProcessGroupSignals.hpp | 1 + .../manager/ProcessGroupWorker.cpp | 209 ++++++++++++++---- .../manager/ProcessGroupWorker.hpp | 6 +- .../manager/ProcessManager.cpp | 60 +++-- .../manager/ProcessManager.hpp | 4 +- distributedcombigrid/tests/test_hello.cpp | 34 +-- 10 files changed, 258 insertions(+), 101 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp index 51309ab7f..8a9b9c7f4 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp @@ -124,8 +124,10 @@ struct FaultsInfo { public: int numFaults_; IndexVector iterationFaults_; - IndexVector globalRankFaults_; + IndexVector localRankFaults_; IndexVector taskFaults_; + CombiDataType sdcMag_; + int sdcSub_; private: friend class boost::serialization::access; // serialize @@ -138,8 +140,10 @@ template void FaultsInfo::serialize(Archive& ar, const unsigned int version) { ar& numFaults_; ar& iterationFaults_; - ar& globalRankFaults_; + ar& localRankFaults_; ar& taskFaults_; + ar& sdcMag_; + ar& sdcSub_; } } // namespace combigrid diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/hierarchization/Hierarchization.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/hierarchization/Hierarchization.hpp index b8566c718..84592d04d 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/hierarchization/Hierarchization.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/hierarchization/Hierarchization.hpp @@ -11,7 +11,6 @@ #include "boost/lexical_cast.hpp" #include #include "sgpp/distributedcombigrid/fullgrid/FullGrid.hpp" -#include "sgpp/distributedcombigrid/utils/combigrid_ultils.hpp" #include "sgpp/distributedcombigrid/utils/StatsContainer.hpp" /* @@ -83,7 +82,7 @@ class Hierarchization { IndexType jump; lldiv_t divresult; - theStatsContainer()->setTimerStart("hierarchize_dim_0"); +// theStatsContainer()->setTimerStart("hierarchize_dim_0"); // dimension 1 separate as start of each pole is easier to calculate IndexType ndim = n[0]; @@ -107,11 +106,11 @@ class Hierarchization { } // end dimension 1 - theStatsContainer()->setTimerStop("hierarchize_dim_0"); +// theStatsContainer()->setTimerStop("hierarchize_dim_0"); for (DimType dim = 1; dim < d; dim++) { // hierarchize for all dims - theStatsContainer()->setTimerStart( - "hierarchize_dim_" + boost::lexical_cast(dim)); +// theStatsContainer()->setTimerStart( +// "hierarchize_dim_" + boost::lexical_cast(dim)); stride *= ndim; ndim = n[dim]; @@ -139,8 +138,8 @@ class Hierarchization { } } - theStatsContainer()->setTimerStop( - "hierarchize_dim_" + boost::lexical_cast(dim)); +// theStatsContainer()->setTimerStop( +// "hierarchize_dim_" + boost::lexical_cast(dim)); } // end loop over dimension 2 to d diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp index 1aa6b297a..fc2aa2a12 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp @@ -142,7 +142,29 @@ bool ProcessGroupManager::addTask( Task* t ) { // only return true if task successfully send to pgroup return true; } +bool ProcessGroupManager::reinitTask( Task* t ) { + // first check status + // tying to add a task to a busy group is an invalid operation + // and should be avoided + if (status_ != PROCESS_GROUP_WAIT) + return false; + + // send add task signal to pgroup + SignalType signal = REINIT_TASK; + MPI_Send(&signal, 1, MPI_INT, pgroupRootID_, signalTag, theMPISystem()->getGlobalComm()); + + // send task + Task::send(&t, pgroupRootID_, theMPISystem()->getGlobalComm()); + + // set status + status_ = PROCESS_GROUP_BUSY; + + // start non-blocking MPI_IRecv to receive status + recvStatus(); + // only return true if task successfully send to pgroup + return true; +} bool ProcessGroupManager::recompute( Task* t ) { // first check status diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp index 35d54b9b4..2111bd693 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp @@ -76,6 +76,8 @@ class ProcessGroupManager { bool addTask( Task* ); + bool reinitTask( Task* ); + bool recompute( Task* ); bool recoverCommunicators(); diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupSignals.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupSignals.hpp index 837b006d8..8fa1cf18c 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupSignals.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupSignals.hpp @@ -31,6 +31,7 @@ const SignalType RECOMPUTE = 14; const SignalType CHECK_DEAD_PROCS = 15; // check for dead workers const SignalType RECOVER_COMM = 16; const SignalType SEARCH_SDC = 17; +const SignalType REINIT_TASK = 18; typedef int NormalizationType; const NormalizationType NO_NORMALIZATION = 0; diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index f239ba56b..72fae2d9c 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -16,6 +16,7 @@ #include "sgpp/distributedcombigrid/sparsegrid/DistributedSparseGridUniform.hpp" #include "sgpp/distributedcombigrid/combicom/CombiCom.hpp" #include "sgpp/distributedcombigrid/hierarchization/DistributedHierarchization.hpp" +#include "sgpp/distributedcombigrid/hierarchization/Hierarchization.hpp" #include "sgpp/distributedcombigrid/mpi/MPIUtils.hpp" #include #include @@ -201,6 +202,36 @@ SignalType ProcessGroupWorker::wait() { // return signal; } else if (signal == SEARCH_SDC) { searchSDC(); + } else if (signal == REINIT_TASK) { + std::cout << "reinitializing a single task" << std::endl; + + Task* t; + + // local root receives task + MASTER_EXCLUSIVE_SECTION { + Task::receive(&t, theMPISystem()->getManagerRank(), theMPISystem()->getGlobalComm()); + } + + // broadcast task to other process of pgroup + Task::broadcast(&t, theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm()); + + MPI_Barrier(theMPISystem()->getLocalComm()); + + // initalize task and set values to zero + // the task will get the proper initial solution during the next combine + t->init( theMPISystem()->getLocalComm() ); + t->setZero(); + t->setFinished( true ); + // todo: careful -> dehier is done here! + setCombinedSolutionUniform( t ); + MASTER_EXCLUSIVE_SECTION{ + if (t->getID() == 3){ + std::cout<<"After reinit: "<getID()<getDistributedFullGrid().print(std::cout); + } + } + status_ = PROCESS_GROUP_BUSY; + } // in the general case: send ready signal. @@ -272,6 +303,7 @@ void ProcessGroupWorker::combine() { // dehierarchize dfg DistributedHierarchization::dehierarchize(dfg); + } } @@ -310,7 +342,12 @@ void ProcessGroupWorker::combineUniform() { for (Task* t : tasks_) { DistributedFullGrid& dfg = t->getDistributedFullGrid(); - + MASTER_EXCLUSIVE_SECTION{ + if (t->getID() == 3){ + std::cout<<"Before combine: "<getID()<<": "<getID() ) <(dfg); @@ -319,16 +356,20 @@ void ProcessGroupWorker::combineUniform() { } CombiCom::distributedGlobalReduce( *combinedUniDSG_ ); - for (Task* t : tasks_) { // get handle to dfg DistributedFullGrid& dfg = t->getDistributedFullGrid(); - // extract dfg vom dsg dfg.extractFromUniformSG( *combinedUniDSG_ ); // dehierarchize dfg DistributedHierarchization::dehierarchize( dfg ); + MASTER_EXCLUSIVE_SECTION{ + if (t->getID() == 3){ + std::cout<<"After extraction: "<getID()<<": "<getID() ) <& dfg = t->getDistributedFullGrid(); - // extract dfg vom dsg + // extract dfg from dsg dfg.extractFromUniformSG( *combinedUniDSG_ ); // dehierarchize dfg @@ -464,7 +505,7 @@ void ProcessGroupWorker::searchSDC(){ std::vector levelsSDC; if( method == COMPARE_PAIRS ) - comparePairs( 2, levelsSDC ); + comparePairsSerial( 2, levelsSDC ); if( method == COMPARE_VALUES ) compareValues(); @@ -492,7 +533,7 @@ void ProcessGroupWorker::searchSDC(){ } } -void ProcessGroupWorker::comparePairs( int numNearestNeighbors, std::vector &levelsSDC ){ +void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std::vector &levelsSDC ){ /* Generate all pairs of grids */ std::vector> allPairs; @@ -564,9 +605,16 @@ void ProcessGroupWorker::comparePairs( int numNearestNeighbors, std::vector if(b != allBetas.end()) { + std::cout<<"allBetas:\n"; + for(auto jj : allBetas) + std::cout<& boundary = combiParameters_.getBoundary(); + + for (auto pair : allPairs){ + + FullGrid fg_red(dim, lmax, boundary); + FullGrid fg_t(dim, pair[0]->getLevelVector(), boundary ); + FullGrid fg_s(dim, pair[1]->getLevelVector(), boundary ); + CombiDataType localBetaMax(0.0); + jMax = 0; + // create the empty grid on only on localroot + MASTER_EXCLUSIVE_SECTION { + fg_red.createFullGrid(); + fg_t.createFullGrid(); + fg_s.createFullGrid(); + } + + pair[0]->getFullGrid( fg_t, theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm() ); + pair[1]->getFullGrid( fg_s, theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm() ); + + MPI_Barrier(theMPISystem()->getLocalComm()); + MASTER_EXCLUSIVE_SECTION{ + fg_red.add(fg_t, 1.0 ); + fg_red.add(fg_s, -1.0 ); + Hierarchization::hierarchize(fg_red); + auto data_red = fg_red.getData(); + for (size_t j = 0; j < fg_red.getNrElements(); ++j){ + if (std::abs(data_red[j]) > std::abs(localBetaMax)){ + localBetaMax = data_red[j]; + jMax = j; + } + } + allBetas.push_back( localBetaMax ); + allJs.push_back( jMax ); + } + } + + MASTER_EXCLUSIVE_SECTION{ + auto globalBetaMax = std::max_element(allBetas.begin(), allBetas.end(), + [](CombiDataType a, CombiDataType b){ return std::abs(a) < std::abs(b); } ); + + auto b = std::find( allBetas.begin(), allBetas.end(), *globalBetaMax ); + size_t indMax = std::distance(allBetas.begin(), b); + jMax = allJs[indMax]; + + FullGrid fg_red(dim, lmax, boundary); + // create the empty grid on only on localroot + fg_red.createFullGrid(); + LevelVector sdcLevel(dim); + IndexVector indexes(dim); + fg_red.getLI(jMax, sdcLevel,indexes); + std::cout<<"SDC Level = " << sdcLevel<<", jMax = "<(main_module.attr("__dict__")); main_namespace["lmin"] = lmin[0]; main_namespace["lmax"] = lmax[0]; -// py::exec("betasDict = {}",main_namespace); py::exec("t_train = [] \n" "y_train = []",main_namespace); py::dict dictionary; @@ -910,7 +1061,6 @@ void ProcessGroupWorker::filterSDCPython( std::vector &levelsSDC ){ main_namespace["l1"] = l1; main_namespace["l2"] = l2; main_namespace["beta"] = entry.second; -// py::exec("betasDict[tuple(l1),tuple(l2)] = beta", main_namespace); py::exec("t_train.append((tuple(l1),tuple(l2))) \n" "y_train.append(beta)", main_namespace); } @@ -920,10 +1070,13 @@ void ProcessGroupWorker::filterSDCPython( std::vector &levelsSDC ){ catch (py::error_already_set) { PyErr_Print(); } + // Obtain standardized LMS residuals py::object r_stand_lms = main_namespace["r_stand_lms"]; std::vector stand_residuals; for(size_t i = 0; i < n; ++i) stand_residuals.push_back(py::extract(r_stand_lms[i])); + + // Look for outliers std::map mapSDC; for ( auto const &entry : betas_ ){ LevelVector key_t = entry.first.first; @@ -954,42 +1107,4 @@ void ProcessGroupWorker::filterSDCPython( std::vector &levelsSDC ){ } } } -// void addToUniformSG(DistributedSparseGridUniform& dsg, -// real coeff) { -// // test if dsg has already been registered -// if (&dsg != dsg_) -// registerUniformSG(dsg); -// -// // create iterator for each subspace in dfg -// typedef typename std::vector::iterator SubspaceIterator; -// typename std::vector it_sub( -// subspaceAssigmentList_.size()); -// -// for (size_t subFgId = 0; subFgId < it_sub.size(); ++subFgId) { -// if (subspaceAssigmentList_[subFgId] < 0) -// continue; -// -// IndexType subSgId = subspaceAssigmentList_[subFgId]; -// -// it_sub[subFgId] = dsg.getDataVector(subSgId).begin(); -// } -// -// // loop over all grid points -// for (size_t i = 0; i < fullgridVector_.size(); ++i) { -// // get subspace_fg id -// size_t subFgId(assigmentList_[i]); -// -// if (subspaceAssigmentList_[subFgId] < 0) -// continue; -// -// IndexType subSgId = subspaceAssigmentList_[subFgId]; -// -// assert(it_sub[subFgId] != dsg.getDataVector(subSgId).end()); -// -// // add grid point to subspace, mul with coeff -// *it_sub[subFgId] += coeff * fullgridVector_[i]; -// -// ++it_sub[subFgId]; -// } -// } } /* namespace combigrid */ diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp index 8e883ad21..0a79fcc33 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp @@ -57,7 +57,9 @@ class ProcessGroupWorker { * (or only between neighboring ones if onlyNearestNeighbors = true) * according to the paper on SDC detection. If the difference is large, * a soft fault might have occurred. */ - void comparePairs( int numNearestNeighbors, std::vector &levelsSDC ); + void comparePairsDistributed( int numNearestNeighbors, std::vector &levelsSDC ); + + void comparePairsSerial( int numNearestNeighbors, std::vector &levelsSDC ); int compareValues(); @@ -68,7 +70,7 @@ class ProcessGroupWorker { * */ void generatePairs( int numNearestNeighbors, std::vector> &allPairs); - void filterSDC( std::vector &levelsSDC ); + void filterSDCGSL( std::vector &levelsSDC ); void filterSDCPython( std::vector &levelsSDC ); diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp index 61da9d230..42f5b1bf2 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp @@ -167,7 +167,43 @@ void ProcessManager::redistribute( std::vector& taskID ) { std::cout << "Redistribute finished" << std::endl; } +void ProcessManager::reinit( std::vector& taskID ) { + for (size_t i = 0; i < taskID.size(); ++i) { + // find id in list of tasks + Task* t = NULL; + + for ( Task* tmp : tasks_ ) { + if ( tmp->getID() == taskID[i] ) { + t = tmp; + break; + } + } + assert( t != NULL ); + // wait for available process group + for ( auto p : pgroups_ ){ + TaskContainer groupTasks = p->getTaskContainer(); + if (std::find(groupTasks.begin(), groupTasks.end(), t) != groupTasks.end()){ + p->reinitTask(t); + break; + } + } + } + + size_t numWaiting = 0; + + while (numWaiting != pgroups_.size()) { + numWaiting = 0; + + for (size_t i = 0; i < pgroups_.size(); ++i) { + if (pgroups_[i]->getStatus() == PROCESS_GROUP_WAIT) + ++numWaiting; + } + + } + + std::cout << "Reinitialize finished" << std::endl; +} void ProcessManager::recompute( std::vector& taskID ) { for (size_t i = 0; i < taskID.size(); ++i) { // find id in list of tasks @@ -231,30 +267,6 @@ void ProcessManager::recoverCommunicators(){ } } -void ProcessManager::recover(){ - - std::vector faultsID; - getGroupFaultIDs(faultsID); - - /* call optimization code to find new coefficients */ - const std::string prob_name = "interpolation based optimization"; - std::vector redistributeFaultsID, recomputeFaultsID; - recomputeOptimumCoefficients(prob_name, faultsID, redistributeFaultsID, recomputeFaultsID); - - /* recover communicators*/ - recoverCommunicators(); - - /* redistribute failed tasks to living groups */ - redistribute(faultsID); - - /* communicate new combination scheme*/ - updateCombiParameters(); - - /* if some tasks have to be recomputed, do so*/ - if(!recomputeFaultsID.empty()) - recompute(recomputeFaultsID); -} - void ProcessManager::restoreCombischeme() { LevelVector lmin = params_.getLMin(); diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp index 57ca2ae92..c22efd047 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp @@ -92,9 +92,9 @@ class ProcessManager { void redistribute( std::vector& taskID ); - void recompute( std::vector& taskID ); + void reinit( std::vector& taskID ); - void recover(); + void recompute( std::vector& taskID ); void recoverCommunicators(); diff --git a/distributedcombigrid/tests/test_hello.cpp b/distributedcombigrid/tests/test_hello.cpp index 7096e3c83..b715756c0 100644 --- a/distributedcombigrid/tests/test_hello.cpp +++ b/distributedcombigrid/tests/test_hello.cpp @@ -9,20 +9,20 @@ static bool CHECK_NPROCS( int nprocs ){ return size == nprocs; } - -BOOST_AUTO_TEST_CASE( bla4 ){ - if( CHECK_NPROCS(4) ){ - std::cout << "I'm with 4" << std::endl; - - BOOST_CHECK( true ); - } -} - - -BOOST_AUTO_TEST_CASE( bla8 ){ - if( CHECK_NPROCS(8) ){ - std::cout << "I'm with 8" << std::endl; - - BOOST_CHECK( true ); - } -} +// +//BOOST_AUTO_TEST_CASE( bla4 ){ +// if( CHECK_NPROCS(4) ){ +// std::cout << "I'm with 4" << std::endl; +// +// BOOST_CHECK( true ); +// } +//} +// +// +//BOOST_AUTO_TEST_CASE( bla8 ){ +// if( CHECK_NPROCS(8) ){ +// std::cout << "I'm with 8" << std::endl; +// +// BOOST_CHECK( true ); +// } +//} From 4dae9f4a52a9d75a543a1e50f4ad539b305c60a6 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Thu, 3 Nov 2016 13:00:33 +0100 Subject: [PATCH 08/37] Distributed SDC detection working --- .autotools | 42 ++++++ .../manager/ProcessGroupManager.cpp | 4 +- .../manager/ProcessGroupWorker.cpp | 135 +++++++----------- .../manager/ProcessManager.cpp | 2 +- 4 files changed, 98 insertions(+), 85 deletions(-) create mode 100644 .autotools diff --git a/.autotools b/.autotools new file mode 100644 index 000000000..3a9f307fe --- /dev/null +++ b/.autotools @@ -0,0 +1,42 @@ + + + + + diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp index fc2aa2a12..721871da1 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupManager.cpp @@ -144,12 +144,12 @@ bool ProcessGroupManager::addTask( Task* t ) { } bool ProcessGroupManager::reinitTask( Task* t ) { // first check status - // tying to add a task to a busy group is an invalid operation + // tying to reinit a task in a busy group is an invalid operation // and should be avoided if (status_ != PROCESS_GROUP_WAIT) return false; - // send add task signal to pgroup + // send reinit task signal to pgroup SignalType signal = REINIT_TASK; MPI_Send(&signal, 1, MPI_INT, pgroupRootID_, signalTag, theMPISystem()->getGlobalComm()); diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 72fae2d9c..997040051 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -217,21 +217,18 @@ SignalType ProcessGroupWorker::wait() { MPI_Barrier(theMPISystem()->getLocalComm()); - // initalize task and set values to zero - // the task will get the proper initial solution during the next combine - t->init( theMPISystem()->getLocalComm() ); - t->setZero(); - t->setFinished( true ); - // todo: careful -> dehier is done here! - setCombinedSolutionUniform( t ); - MASTER_EXCLUSIVE_SECTION{ - if (t->getID() == 3){ - std::cout<<"After reinit: "<getID()<getDistributedFullGrid().print(std::cout); + for (auto tt : tasks_){ + if (tt->getID() == t->getID()){ + currentTask_ = tt; + break; } } - status_ = PROCESS_GROUP_BUSY; + // initalize task and set values to zero + currentTask_->init( theMPISystem()->getLocalComm() ); + currentTask_->setZero(); + setCombinedSolutionUniform( currentTask_ ); + currentTask_->setFinished(true); } // in the general case: send ready signal. @@ -342,12 +339,7 @@ void ProcessGroupWorker::combineUniform() { for (Task* t : tasks_) { DistributedFullGrid& dfg = t->getDistributedFullGrid(); - MASTER_EXCLUSIVE_SECTION{ - if (t->getID() == 3){ - std::cout<<"Before combine: "<getID()<<": "<getID() ) <(dfg); @@ -364,12 +356,12 @@ void ProcessGroupWorker::combineUniform() { // dehierarchize dfg DistributedHierarchization::dehierarchize( dfg ); - MASTER_EXCLUSIVE_SECTION{ - if (t->getID() == 3){ - std::cout<<"After extraction: "<getID()<<": "<getID() ) <getID() == 3){ +// std::cout<<"After extraction (after deh): "<getID()<<": "<getID() ) < levelsSDC; if( method == COMPARE_PAIRS ) - comparePairsSerial( 2, levelsSDC ); + comparePairsDistributed( 2, levelsSDC ); if( method == COMPARE_VALUES ) compareValues(); @@ -535,6 +527,16 @@ void ProcessGroupWorker::searchSDC(){ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std::vector &levelsSDC ){ + DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( + combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), + combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); + + for (auto t : tasks_){ + DistributedFullGrid& dfg = t->getDistributedFullGrid(); + DistributedHierarchization::hierarchize(dfg); + dfg.registerUniformSG( *SDCUniDSG ); + } + /* Generate all pairs of grids */ std::vector> allPairs; @@ -544,29 +546,13 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: std::vector allBetasSum; std::vector allSubs; std::vector allJs; - -// MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); - for (auto pair : allPairs){ DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); DistributedFullGrid& dfg_s = pair[1]->getDistributedFullGrid(); - LevelVector t_level = pair[0]->getLevelVector(); - LevelVector s_level = pair[1]->getLevelVector(); - - DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( - combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), - combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); - - dfg_t.registerUniformSG( *SDCUniDSG ); - dfg_s.registerUniformSG( *SDCUniDSG ); - dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); - dfg_s.addToUniformSG( *SDCUniDSG, -1.0, false ); - LevelVector common_level; - for (size_t i = 0; i < t_level.size(); ++i) - common_level.push_back( (t_level[i] <= s_level[i]) ? t_level[i] : s_level[i] ); + dfg_s.addToUniformSG( *SDCUniDSG, -1.0 ); CombiDataType localBetaMax(0.0); @@ -574,21 +560,23 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: size_t jMax = 0; for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ - if (SDCUniDSG->getLevelVector(i) <= common_level){ - auto subData = SDCUniDSG->getData(i); - auto subSize = SDCUniDSG->getDataSize(i); - for (size_t j = 0; j < subSize; ++j){ - if (std::abs(subData[j]) > std::abs(localBetaMax)){ - localBetaMax = subData[j]; - subMax = SDCUniDSG->getLevelVector(i); - jMax = j; - } + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j){ + if (std::abs(subData[j]) > std::abs(localBetaMax)){ + localBetaMax = subData[j]; + subMax = SDCUniDSG->getLevelVector(i); + jMax = j; } } } allBetas.push_back( localBetaMax ); allSubs.push_back( subMax ); allJs.push_back( jMax ); + + // Remove from sparse grid + dfg_t.addToUniformSG( *SDCUniDSG, -1.0 ); + dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); } std::vector allBetasReduced; @@ -603,12 +591,8 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: betas_.clear(); - if(b != allBetas.end()) { - std::cout<<"allBetas:\n"; - for(auto jj : allBetas) - std::cout<& dfg_t = pair[0]->getDistributedFullGrid(); @@ -627,36 +609,25 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: LevelVector t_level = pair[0]->getLevelVector(); LevelVector s_level = pair[1]->getLevelVector(); - DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( - combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), - combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); - - dfg_t.registerUniformSG( *SDCUniDSG ); - dfg_s.registerUniformSG( *SDCUniDSG ); - dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); - dfg_s.addToUniformSG( *SDCUniDSG, -1.0, false ); + dfg_s.addToUniformSG( *SDCUniDSG, -1.0 ); - LevelVector common_level; - for (size_t i = 0; i < t_level.size(); ++i) - common_level.push_back( (t_level[i] <= s_level[i]) ? t_level[i] : s_level[i] ); + auto subData = SDCUniDSG->getData(subMax); + CombiDataType localBetaMax = subData[jMax]; + betas_[std::make_pair(t_level, s_level)] = localBetaMax; - if (subMax <= common_level){ - auto subData = SDCUniDSG->getData(subMax); - CombiDataType localBetaMax = subData[jMax]; - betas_[std::make_pair(t_level, s_level)] = localBetaMax; - numMeasurements++; - } - else - betas_[std::make_pair(t_level, s_level)] = 0; + dfg_t.addToUniformSG( *SDCUniDSG, -1.0 ); + dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); } -// if ( numMeasurements >= 5 ) // Otherwise we have too few measurements - filterSDCPython( levelsSDC ); - -// MPI_File_close( &betasFile_ ); + filterSDCPython( levelsSDC ); } + MPI_Barrier(theMPISystem()->getLocalComm()); + for (auto t : tasks_){ + DistributedFullGrid& dfg = t->getDistributedFullGrid(); + DistributedHierarchization::dehierarchize(dfg); + } } void ProcessGroupWorker::comparePairsSerial( int numNearestNeighbors, std::vector &levelsSDC ){ @@ -751,7 +722,7 @@ void ProcessGroupWorker::comparePairsSerial( int numNearestNeighbors, std::vecto MASTER_EXCLUSIVE_SECTION{ fg_red.add(fg_t, 1.0 ); fg_red.add(fg_s, -1.0 ); - + Hierarchization::hierarchize(fg_red); auto data = fg_red.getData(); CombiDataType localBetaMax = data[jMax]; diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp index 42f5b1bf2..2e784cec1 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.cpp @@ -180,7 +180,7 @@ void ProcessManager::reinit( std::vector& taskID ) { } } assert( t != NULL ); - // wait for available process group + // send signal to group where task failed for ( auto p : pgroups_ ){ TaskContainer groupTasks = p->getTaskContainer(); if (std::find(groupTasks.begin(), groupTasks.end(), t) != groupTasks.end()){ From 2ee98e9fb53eda1a092cda2540dff4303605558e Mon Sep 17 00:00:00 2001 From: hinojosa Date: Fri, 4 Nov 2016 18:08:38 +0100 Subject: [PATCH 09/37] GSL implementation finished, but optimization not working optimally due to bad initial condition --- .../manager/ProcessGroupWorker.cpp | 169 ++++++++++-------- .../manager/ProcessGroupWorker.hpp | 3 + 2 files changed, 98 insertions(+), 74 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 997040051..0cb9bb8f4 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -25,13 +25,13 @@ namespace combigrid { ProcessGroupWorker::ProcessGroupWorker() : - currentTask_( NULL), - status_(PROCESS_GROUP_WAIT), - combinedFG_( NULL), - combinedUniDSG_(NULL), - combinedFGexists_(false), - combiParameters_(), - combiParametersSet_(false) + currentTask_( NULL), + status_(PROCESS_GROUP_WAIT), + combinedFG_( NULL), + combinedUniDSG_(NULL), + combinedFGexists_(false), + combiParameters_(), + combiParametersSet_(false) { } @@ -201,7 +201,7 @@ SignalType ProcessGroupWorker::wait() { // theMPISystem()->recoverCommunicators( true ); // return signal; } else if (signal == SEARCH_SDC) { - searchSDC(); + searchSDC(); } else if (signal == REINIT_TASK) { std::cout << "reinitializing a single task" << std::endl; @@ -356,12 +356,6 @@ void ProcessGroupWorker::combineUniform() { // dehierarchize dfg DistributedHierarchization::dehierarchize( dfg ); -// MASTER_EXCLUSIVE_SECTION{ -// if (t->getID() == 3){ -// std::cout<<"After extraction (after deh): "<getID()<<": "<getID() ) <getLocalComm()); + MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); + for (auto t : tasks_){ DistributedFullGrid& dfg = t->getDistributedFullGrid(); DistributedHierarchization::hierarchize(dfg); @@ -620,7 +616,8 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); } - filterSDCPython( levelsSDC ); +// filterSDCPython( levelsSDC ); + filterSDCGSL( levelsSDC ); } MPI_Barrier(theMPISystem()->getLocalComm()); @@ -736,6 +733,75 @@ void ProcessGroupWorker::comparePairsSerial( int numNearestNeighbors, std::vecto int ProcessGroupWorker::compareValues(){ } +void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_lms ){ + + size_t p = regressionWsp->p; + size_t n = regressionWsp->n; + gsl_vector *r = gsl_vector_alloc( n ); + gsl_vector *r2 = gsl_vector_alloc( n ); + gsl_vector *r2_sorted = gsl_vector_alloc( n ); + gsl_vector *r_stand = gsl_vector_alloc( n ); + gsl_vector *weights = gsl_vector_alloc( n ); + gsl_vector *ones = gsl_vector_alloc( n ); + + gsl_multifit_robust_stats regressionStats = gsl_multifit_robust_statistics( regressionWsp ); + gsl_vector_memcpy(r, regressionStats.r); + gsl_vector_memcpy(r_stand, regressionStats.r); + gsl_vector_memcpy(r_lms, regressionStats.r); + + for (size_t i = 0; i < r->size; ++i) + gsl_vector_set(r2, i, std::pow(gsl_vector_get(r, i),2)); + + std::cout<<"Residuals2:\n"; + for(size_t i = 0; i < regressionStats.r->size; ++i) + std::cout<data[i]<<" "; + + gsl_vector_memcpy(r2_sorted, r2); + gsl_sort_vector(r2_sorted); + + double median_r2 = gsl_stats_median_from_sorted_data(r2_sorted->data, r2_sorted->stride, r2_sorted->size); + + std::cout<<"median r2 = "<size; ++i) + std::cout<data[i]<<" "; + // Robust scale estimate + double prod; + gsl_blas_ddot( weights, r2, &prod ); + std::cout<<"Prod = "<size; ++i) + std::cout<data[i]<<" "; + std::cout<<"s_star = "<size; ++i) + std::cout<data[i]<<" "; +} + void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vector> &allPairs ){ std::vector levels; @@ -764,9 +830,9 @@ void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vectorgetLevelVector()] < numNearestNeighbors -// && numPairs[t->getLevelVector()] < numNearestNeighbors - ){ + // && numPairs[s->getLevelVector()] < numNearestNeighbors + // && numPairs[t->getLevelVector()] < numNearestNeighbors + ){ allPairs.push_back({currentPair[1],currentPair[0]}); numPairs[s->getLevelVector()]++; numPairs[t->getLevelVector()]++; @@ -801,7 +867,7 @@ void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vectorgetLevelVector()]++; numPairs[t->getLevelVector()]++; @@ -825,40 +891,30 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ size_t diff = lmax[0] - lmin[0] + 1; // Number of unknowns (functions D1, D2, and D12) - // size_t p = 2*diff + diff*(diff+1)/2; size_t p = 2*diff; -// size_t p = 1; double ex = 2; if ( n < p ) return; - gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc (gsl_multifit_robust_cauchy, n , p ); + gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc(gsl_multifit_robust_default, n , p ); - double tune_const = 0.1; +// double tune_const = 6.0; // gsl_multifit_robust_tune( tune_const, regressionWsp ); - gsl_multifit_robust_maxiter( 100, regressionWsp ); + // gsl_multifit_robust_maxiter( 100, regressionWsp ); gsl_matrix *X = gsl_matrix_alloc( n, p ); gsl_vector *y = gsl_vector_alloc( n ); gsl_vector *c = gsl_vector_alloc( p ); - gsl_vector *r = gsl_vector_alloc( n ); + gsl_vector *r_lms = gsl_vector_alloc( n ); gsl_matrix *cov = gsl_matrix_alloc( p, p ); // Initialize matrix with zeros gsl_matrix_set_zero( X ); -// IndexType idx_D1, idx_D2, idx_D12; IndexType idx_D1, idx_D2; - // Helper function to compute indices of D12 -// auto idx = [](IndexType d, IndexType i){ -// std::vector numbers(i); -// std::iota(numbers.begin(), numbers.end(),d-i+1); -// return std::accumulate(numbers.begin(), numbers.end(), 0); -// }; - int row = 0; CombiDataType val; for( auto const &entry : betas_ ){ @@ -887,37 +943,18 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ val = gsl_matrix_get( X, row, idx_D2 ); gsl_matrix_set( X, row, idx_D2, val - pow(hs[1],ex) ); -// idx_D12 = 2*diff + idx(diff,key_t[1]) + key_t[0]; -// gsl_matrix_set( X, row, idx_D12, pow(ht[0]*ht[1],2) ); -// -// idx_D12 = 2*diff + idx(diff,key_s[1]) + key_s[0]; -// val = gsl_matrix_get( X, row, idx_D12 ); -// gsl_matrix_set( X, row, idx_D12, val - pow(hs[0]*hs[1],2) ); - -// val = pow(ht[0],ex)+pow(hs[0],ex) + pow(ht[1],ex)+pow(hs[1],ex); -// gsl_matrix_set( X, row, 0, val ); - gsl_vector_set( y, row, beta ); row++; } - for (int i = 0; i < n; i++){ /* OUT OF RANGE ERROR */ - for (int j = 0; j < p; j++) - std::cout<< gsl_matrix_get(X, i, j) <<" "; - std::cout<data[i]) > kappa ) - kappa = std::abs(c->data[i]); + computeLMSResiduals( regressionWsp, r_lms ); - std::cout<<"s_mad = "<data[row]) > 2.5 && beta != 0 ){ mapSDC[key_t]++; mapSDC[key_s]++; numSDCPairs++; } -// if ( std::abs(beta) > bound ){ -// mapSDC[key_t]++; -// mapSDC[key_s]++; -// } row++; } @@ -972,7 +994,7 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ LevelVector key_t = entry.first.first; LevelVector key_s = entry.first.second; CombiDataType beta = entry.second; - CombiDataType res = r->data[row]; + CombiDataType res = r_lms->data[row]; buf< &levelsSDC ){ gsl_matrix_free(cov); gsl_vector_free(y); gsl_vector_free(c); - gsl_vector_free(r); gsl_multifit_robust_free(regressionWsp); } @@ -1021,7 +1042,7 @@ void ProcessGroupWorker::filterSDCPython( std::vector &levelsSDC ){ main_namespace["lmin"] = lmin[0]; main_namespace["lmax"] = lmax[0]; py::exec("t_train = [] \n" - "y_train = []",main_namespace); + "y_train = []",main_namespace); py::dict dictionary; for( auto const &entry : betas_ ){ py::list l1,l2; @@ -1033,7 +1054,7 @@ void ProcessGroupWorker::filterSDCPython( std::vector &levelsSDC ){ main_namespace["l2"] = l2; main_namespace["beta"] = entry.second; py::exec("t_train.append((tuple(l1),tuple(l2))) \n" - "y_train.append(beta)", main_namespace); + "y_train.append(beta)", main_namespace); } try{ py::object result = py::exec_file("outlier.py", main_namespace); diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp index 0a79fcc33..b11721b31 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp @@ -19,6 +19,7 @@ #include #include #include +#include namespace combigrid { @@ -63,6 +64,8 @@ class ProcessGroupWorker { int compareValues(); + void computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_lms ); + /* Generates a list of pairs of tasks, so that for each task * that a worker has, we find its K nearest neighbors. The distance * between two tasks is the l1 norm of the difference of their level vectors: From 73aabed2e7d3a050707efaa618c6c13dc32ed7f8 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Sun, 6 Nov 2016 10:57:04 +0100 Subject: [PATCH 10/37] Last changes before testing with Hazelhen --- .../manager/ProcessGroupWorker.cpp | 114 ++++++++---------- .../manager/ProcessGroupWorker.hpp | 2 + 2 files changed, 50 insertions(+), 66 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 0cb9bb8f4..7703eb1b6 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -616,8 +616,8 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); } -// filterSDCPython( levelsSDC ); - filterSDCGSL( levelsSDC ); + filterSDCPython( levelsSDC ); +// filterSDCGSL( levelsSDC ); } MPI_Barrier(theMPISystem()->getLocalComm()); @@ -890,7 +890,7 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ auto lmax = combiParameters_.getLMax(); size_t diff = lmax[0] - lmin[0] + 1; - // Number of unknowns (functions D1, D2, and D12) + // Number of unknowns (functions D1 and D2) size_t p = 2*diff; double ex = 2; @@ -955,36 +955,7 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ computeLMSResiduals( regressionWsp, r_lms ); - std::map mapSDC; - for ( auto const &entry : betas_ ){ - LevelVector key_t = entry.first.first; - LevelVector key_s = entry.first.second; - mapSDC[key_t] = 0; - mapSDC[key_s] = 0; - } - - row = 0; - int numSDCPairs = 0; - for( auto const &entry : betas_ ){ - LevelVector key_t = entry.first.first; - LevelVector key_s = entry.first.second; - CombiDataType beta = entry.second; - if ( std::abs(r_lms->data[row]) > 2.5 && beta != 0 ){ - mapSDC[key_t]++; - mapSDC[key_s]++; - numSDCPairs++; - } - row++; - } - - std::cout<< "SDC grid: " << std::endl; - for (auto s : mapSDC){ - if (s.second >= 2 || (s.second == 1 && numSDCPairs == 1)){ - std::cout<data, levelsSDC ); // Write pairs and their beta values to file std::stringstream buf; @@ -1042,19 +1013,22 @@ void ProcessGroupWorker::filterSDCPython( std::vector &levelsSDC ){ main_namespace["lmin"] = lmin[0]; main_namespace["lmax"] = lmax[0]; py::exec("t_train = [] \n" - "y_train = []",main_namespace); + "y_train = []", main_namespace); py::dict dictionary; for( auto const &entry : betas_ ){ py::list l1,l2; + for(auto v: entry.first.first) l1.append(v); + for(auto v: entry.first.second) l2.append(v); + main_namespace["l1"] = l1; main_namespace["l2"] = l2; main_namespace["beta"] = entry.second; py::exec("t_train.append((tuple(l1),tuple(l2))) \n" - "y_train.append(beta)", main_namespace); + "y_train.append(beta)", main_namespace); } try{ py::object result = py::exec_file("outlier.py", main_namespace); @@ -1062,41 +1036,49 @@ void ProcessGroupWorker::filterSDCPython( std::vector &levelsSDC ){ catch (py::error_already_set) { PyErr_Print(); } + // Obtain standardized LMS residuals - py::object r_stand_lms = main_namespace["r_stand_lms"]; - std::vector stand_residuals; + py::object r_lms_py = main_namespace["r_lms"]; + std::vector r_lms; for(size_t i = 0; i < n; ++i) - stand_residuals.push_back(py::extract(r_stand_lms[i])); + r_lms.push_back(py::extract(r_lms_py[i])); // Look for outliers + detectOutliers( r_lms.data(), levelsSDC ); +} + +void ProcessGroupWorker::detectOutliers( double* r_lms ,std::vector &levelsSDC ){ + std::map mapSDC; - for ( auto const &entry : betas_ ){ - LevelVector key_t = entry.first.first; - LevelVector key_s = entry.first.second; - mapSDC[key_t] = 0; - mapSDC[key_s] = 0; - } - size_t row = 0; - size_t numSDCPairs = 0; - double eps = 2.5; - for( auto const &entry : betas_ ){ - LevelVector key_t = entry.first.first; - LevelVector key_s = entry.first.second; - CombiDataType beta = entry.second; - if ( std::abs(stand_residuals[row]) > eps && beta != 0 ){ - mapSDC[key_t]++; - mapSDC[key_s]++; - numSDCPairs++; - } - row++; - } - std::cout<< "SDC grid: " << std::endl; - for (auto s : mapSDC){ - if (s.second >= 2 || (s.second == 1 && numSDCPairs == 1)){ - std::cout< eps && beta != 0 ){ + mapSDC[key_t]++; + mapSDC[key_s]++; + numSDCPairs++; + } + row++; + } + std::cout<< "SDC grid: " << std::endl; + for (auto s : mapSDC){ + if (s.second >= 2 || (s.second == 1 && numSDCPairs == 1)){ + std::cout< &levelsSDC ); + void detectOutliers( double* r_lms ,std::vector &levelsSDC ); + private: TaskContainer tasks_; // task storage From d8453df01d146f3cd962e5aa29e8ef329d6e3c1f Mon Sep 17 00:00:00 2001 From: hinojosa Date: Sun, 6 Nov 2016 12:23:41 +0100 Subject: [PATCH 11/37] Removed random fault generation --- .../fault_tolerance/FTUtils.cpp | 14 +++++++------- .../fault_tolerance/FTUtils.hpp | 2 +- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp index 2bbe7e8ac..8ea8d546d 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp @@ -298,13 +298,13 @@ std::string set_aux_var_name(const std::string& var_name, const int& index) { return aux_var.str(); } // generate integer random numbers between 0 and #levels-1 -int generate_random_fault(const int& no_of_levels) { - std::random_device dev; - std::mt19937 rng(dev()); - std::uniform_int_distribution rand_num(0, no_of_levels - 1); - - return rand_num(rng); -} +//int generate_random_fault(const int& no_of_levels) { +// std::random_device dev; +// std::mt19937 rng(dev()); +// std::uniform_int_distribution rand_num(0, no_of_levels - 1); +// +// return rand_num(rng); +//} std::vector gen_rand(const int& size) { double rand_var = 0.0; diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp index 8a9b9c7f4..cb3a1421d 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp @@ -73,7 +73,7 @@ CombigridDict create_out_dict(const CombigridDict& given_downset, std::string set_aux_var_name(const std::string& var_name, const int& index); /* generates no_of_levels random faults */ -int generate_random_fault(const int& no_of_levels); +//int generate_random_fault(const int& no_of_levels); /* used to generate random variables for the W matrix in the optimization problem */ std::vector gen_rand(const int& size); From 3a066a3e85c8b06fc467394ebee7b07ea22285e4 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Sun, 6 Nov 2016 12:26:07 +0100 Subject: [PATCH 12/37] Removed random fault generation from Manager --- .../manager/ProcessManager.hpp | 21 ------------------- 1 file changed, 21 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp index c22efd047..ce9c38e49 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp @@ -251,27 +251,6 @@ CombiParameters& ProcessManager::getCombiParameters() { return params_; } - -/* - * Create a certain given number of random faults, considering that the faulty processes - * simply cannot give the evaluation results, but they are still available in the MPI - * communication scheme (the nodes are not dead) - */ -inline void -ProcessManager::createRandomFaults( std::vector& faultIds, int no_faults ) { - int fault_id; - - // create random faults - int j = 0; - while (j < no_faults) { - fault_id = generate_random_fault( static_cast( params_.getNumLevels() ) ); - if (j == 0 || std::find(faultIds.begin(), faultIds.end(), fault_id) == faultIds.end()){ - faultIds.push_back(fault_id); - j++; - } - } -} - /* * Recompute coefficients for the combination technique based on given grid faults using * an optimization scheme From b679aa897c0cae83b8db619d9630bf5e1c41b99f Mon Sep 17 00:00:00 2001 From: hinojosa Date: Sat, 12 Nov 2016 11:09:43 +0100 Subject: [PATCH 13/37] Using studentized residuals from GSL directly without normalization - works really well --- .../manager/ProcessGroupWorker.cpp | 89 ++++++++++++------- .../manager/ProcessGroupWorker.hpp | 2 +- 2 files changed, 57 insertions(+), 34 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 7703eb1b6..e9fbe1add 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -542,6 +542,7 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: std::vector allBetasSum; std::vector allSubs; std::vector allJs; + for (auto pair : allPairs){ DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); @@ -566,13 +567,18 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: } } } + allBetas.push_back( localBetaMax ); allSubs.push_back( subMax ); allJs.push_back( jMax ); - // Remove from sparse grid - dfg_t.addToUniformSG( *SDCUniDSG, -1.0 ); - dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); + // Reset sparse grid to zero + for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j) + subData[j] = 0.0; + } } std::vector allBetasReduced; @@ -587,7 +593,6 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: betas_.clear(); - if(b != allBetas.end()) { size_t indMax = std::distance(allBetas.begin(), b); @@ -612,12 +617,17 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: CombiDataType localBetaMax = subData[jMax]; betas_[std::make_pair(t_level, s_level)] = localBetaMax; - dfg_t.addToUniformSG( *SDCUniDSG, -1.0 ); - dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); + // Reset sparse grid to zero + for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j) + subData[j] = 0.0; + } } - filterSDCPython( levelsSDC ); -// filterSDCGSL( levelsSDC ); +// filterSDCPython( levelsSDC ); + filterSDCGSL( levelsSDC ); } MPI_Barrier(theMPISystem()->getLocalComm()); @@ -637,7 +647,7 @@ void ProcessGroupWorker::comparePairsSerial( int numNearestNeighbors, std::vecto std::vector allJs; size_t jMax; - // MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); + MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); const DimType dim = combiParameters_.getDim(); LevelVector lmax = combiParameters_.getLMax(); const std::vector& boundary = combiParameters_.getBoundary(); @@ -730,10 +740,11 @@ void ProcessGroupWorker::comparePairsSerial( int numNearestNeighbors, std::vecto filterSDCPython( levelsSDC ); } } + int ProcessGroupWorker::compareValues(){ } -void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_lms ){ +void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_stud, gsl_vector* r_lms ){ size_t p = regressionWsp->p; size_t n = regressionWsp->n; @@ -745,28 +756,28 @@ void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* reg gsl_vector *ones = gsl_vector_alloc( n ); gsl_multifit_robust_stats regressionStats = gsl_multifit_robust_statistics( regressionWsp ); - gsl_vector_memcpy(r, regressionStats.r); - gsl_vector_memcpy(r_stand, regressionStats.r); - gsl_vector_memcpy(r_lms, regressionStats.r); + + gsl_vector_memcpy(r, r_stud); + gsl_vector_memcpy(r_stand, r_stud); + gsl_vector_memcpy(r_lms, r_stud); for (size_t i = 0; i < r->size; ++i) gsl_vector_set(r2, i, std::pow(gsl_vector_get(r, i),2)); - std::cout<<"Residuals2:\n"; + std::cout<<"Stud. residuals:\n"; for(size_t i = 0; i < regressionStats.r->size; ++i) - std::cout<data[i]<<" "; + std::cout<data[i]<<" "; gsl_vector_memcpy(r2_sorted, r2); gsl_sort_vector(r2_sorted); double median_r2 = gsl_stats_median_from_sorted_data(r2_sorted->data, r2_sorted->stride, r2_sorted->size); - - std::cout<<"median r2 = "<size; ++i) - std::cout<data[i]<<" "; + // Robust scale estimate double prod; gsl_blas_ddot( weights, r2, &prod ); - std::cout<<"Prod = "<size; ++i) - std::cout<data[i]<<" "; std::cout<<"s_star = "<size; ++i) + for(size_t i = 0; i < r_lms->size; ++i) std::cout<data[i]<<" "; } @@ -897,17 +901,19 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ if ( n < p ) return; - gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc(gsl_multifit_robust_default, n , p ); + gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc(gsl_multifit_robust_cauchy, n , p ); -// double tune_const = 6.0; +// double tune_const = 2.5; // gsl_multifit_robust_tune( tune_const, regressionWsp ); - // gsl_multifit_robust_maxiter( 100, regressionWsp ); +// gsl_multifit_robust_maxiter( 500, regressionWsp ); gsl_matrix *X = gsl_matrix_alloc( n, p ); gsl_vector *y = gsl_vector_alloc( n ); gsl_vector *c = gsl_vector_alloc( p ); gsl_vector *r_lms = gsl_vector_alloc( n ); + gsl_vector *r_stud = gsl_vector_alloc( n ); + gsl_vector *rt = gsl_vector_alloc( n ); gsl_matrix *cov = gsl_matrix_alloc( p, p ); // Initialize matrix with zeros @@ -924,6 +930,7 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ std::vector ht = {1.0/pow(2.0,key_t[0]), 1.0/pow(2.0,key_t[1])}; std::vector hs = {1.0/pow(2.0,key_s[0]), 1.0/pow(2.0,key_s[1])}; + for( size_t i = 0; i < key_t.size(); ++i ){ key_t[i] -= lmin[0]; key_s[i] -= lmin[0]; @@ -951,11 +958,25 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ gsl_set_error_handler_off(); gsl_multifit_robust( X, y, c, cov, regressionWsp ); + gsl_vector_memcpy(rt,y); + + gsl_blas_dgemv(CblasNoTrans, 1, X, c, 0.0, rt); + + std::cout<<"\nMeasured yi:\n"; + for(size_t i = 0; i < y->size; ++i) + std::cout<data[i]<<" "; + + std::cout<<"\nCalculated yi:\n"; + for(size_t i = 0; i < rt->size; ++i) + std::cout<data[i]<<" "; + gsl_multifit_robust_stats regressionStats = gsl_multifit_robust_statistics( regressionWsp ); - computeLMSResiduals( regressionWsp, r_lms ); + gsl_multifit_robust_residuals(X, y, c, r_stud, regressionWsp); + + //computeLMSResiduals( regressionWsp, r_stud, r_lms ); - detectOutliers( r_lms->data, levelsSDC ); + detectOutliers( r_stud->data, levelsSDC ); // Write pairs and their beta values to file std::stringstream buf; @@ -965,7 +986,7 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ LevelVector key_t = entry.first.first; LevelVector key_s = entry.first.second; CombiDataType beta = entry.second; - CombiDataType res = r_lms->data[row]; + CombiDataType res = r_stud->data[row]; buf< &levelsSDC ){ buf.str(""); row++; } + // Write regression coefficients to file buf << c->size << std::endl; for( size_t i = 0; i < c->size; ++i){ @@ -982,6 +1004,7 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ buf.str(""); } + MPI_File_close(&betasFile_); gsl_matrix_free(X); gsl_matrix_free(cov); gsl_vector_free(y); diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp index 1892dfed1..0ecbd9f04 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp @@ -64,7 +64,7 @@ class ProcessGroupWorker { int compareValues(); - void computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_lms ); + void computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_stud, gsl_vector* r_lms ); /* Generates a list of pairs of tasks, so that for each task * that a worker has, we find its K nearest neighbors. The distance From de760f9d4e632dadaa33886d0e2838a1d59fa064 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Mon, 14 Nov 2016 15:34:42 -0700 Subject: [PATCH 14/37] Removed Python functions --- .../manager/ProcessGroupWorker.cpp | 63 +------------------ .../manager/ProcessGroupWorker.hpp | 2 - 2 files changed, 1 insertion(+), 64 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index e9fbe1add..e063a545b 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -18,8 +18,6 @@ #include "sgpp/distributedcombigrid/hierarchization/DistributedHierarchization.hpp" #include "sgpp/distributedcombigrid/hierarchization/Hierarchization.hpp" #include "sgpp/distributedcombigrid/mpi/MPIUtils.hpp" -#include -#include #include namespace combigrid { @@ -626,7 +624,6 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: } } -// filterSDCPython( levelsSDC ); filterSDCGSL( levelsSDC ); } @@ -737,7 +734,7 @@ void ProcessGroupWorker::comparePairsSerial( int numNearestNeighbors, std::vecto } } MASTER_EXCLUSIVE_SECTION{ - filterSDCPython( levelsSDC ); + filterSDCGSL( levelsSDC ); } } @@ -1012,64 +1009,6 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ gsl_multifit_robust_free(regressionWsp); } -void ProcessGroupWorker::filterSDCPython( std::vector &levelsSDC ){ - - // Number of measurements (beta values) - size_t n = betas_.size(); - - auto lmin = combiParameters_.getLMin(); - auto lmax = combiParameters_.getLMax(); - size_t diff = lmax[0] - lmin[0] + 1; - - // Number of unknowns (functions D1, D2, and D12) - size_t p = 2*diff; - - if ( n < p ) - return; - - namespace py = boost::python; - - // Cal Python routines - Py_Initialize(); - py::object main_module = py::import("__main__"); - py::dict main_namespace = py::extract(main_module.attr("__dict__")); - main_namespace["lmin"] = lmin[0]; - main_namespace["lmax"] = lmax[0]; - py::exec("t_train = [] \n" - "y_train = []", main_namespace); - py::dict dictionary; - for( auto const &entry : betas_ ){ - py::list l1,l2; - - for(auto v: entry.first.first) - l1.append(v); - - for(auto v: entry.first.second) - l2.append(v); - - main_namespace["l1"] = l1; - main_namespace["l2"] = l2; - main_namespace["beta"] = entry.second; - py::exec("t_train.append((tuple(l1),tuple(l2))) \n" - "y_train.append(beta)", main_namespace); - } - try{ - py::object result = py::exec_file("outlier.py", main_namespace); - } - catch (py::error_already_set) { - PyErr_Print(); - } - - // Obtain standardized LMS residuals - py::object r_lms_py = main_namespace["r_lms"]; - std::vector r_lms; - for(size_t i = 0; i < n; ++i) - r_lms.push_back(py::extract(r_lms_py[i])); - - // Look for outliers - detectOutliers( r_lms.data(), levelsSDC ); -} - void ProcessGroupWorker::detectOutliers( double* r_lms ,std::vector &levelsSDC ){ std::map mapSDC; diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp index 0ecbd9f04..7054bbaea 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp @@ -75,8 +75,6 @@ class ProcessGroupWorker { void filterSDCGSL( std::vector &levelsSDC ); - void filterSDCPython( std::vector &levelsSDC ); - void detectOutliers( double* r_lms ,std::vector &levelsSDC ); private: From d0d5560b84aa064666c6e4936e9653b1dd34baa4 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Tue, 15 Nov 2016 15:59:49 -0700 Subject: [PATCH 15/37] Holy crap it worked out of the box. The compare values thing I mean. Time to get a drink --- .../manager/ProcessGroupWorker.cpp | 307 ++++++++++++++---- .../manager/ProcessGroupWorker.hpp | 11 +- 2 files changed, 259 insertions(+), 59 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index e063a545b..d5a51502e 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -482,16 +482,22 @@ void ProcessGroupWorker::searchSDC(){ theMPISystem()->getGlobalComm(), MPI_STATUS_IGNORE); } + // AP: Added for testing + method = 1; // distribute signal to other processes of pgroup MPI_Bcast( &method, 1, MPI_INT, theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm() ); std::vector levelsSDC; - if( method == COMPARE_PAIRS ) + if( method == COMPARE_PAIRS ){ comparePairsDistributed( 2, levelsSDC ); +// MASTER_EXCLUSIVE_SECTION{ +// comparePairsDistributed( 2, levelsSDC ); +// } + } if( method == COMPARE_VALUES ) - compareValues(); + compareValues( 2, levelsSDC ); int numLocalSDC = levelsSDC.size(); int numGlobalSDC; @@ -517,6 +523,47 @@ void ProcessGroupWorker::searchSDC(){ } } +void ProcessGroupWorker::comparePairsTests( int numNearestNeighbors, std::vector &levelsSDC ){ + + /* Generate all pairs of grids */ + std::vector> allPairs; + + generatePairs( numNearestNeighbors, allPairs ); + + std::set indexSet; +// std::cout<<"All generated pairs:"<getLevelVector(); + LevelVector s_level = pair[1]->getLevelVector(); + + std::cout< indexMap; + IndexType row = 0; + for ( auto ii : indexSet ){ + indexMap[row] = ii; + row++; + } + + MASTER_EXCLUSIVE_SECTION{ + std::cout<<"Index Set:"< &levelsSDC ){ DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( @@ -738,7 +785,118 @@ void ProcessGroupWorker::comparePairsSerial( int numNearestNeighbors, std::vecto } } -int ProcessGroupWorker::compareValues(){ +int ProcessGroupWorker::compareValues( int numNearestNeighbors, std::vector &levelsSDC ){ + + DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( + combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), + combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); + + MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); + + for (auto t : tasks_){ + DistributedFullGrid& dfg = t->getDistributedFullGrid(); + DistributedHierarchization::hierarchize(dfg); + dfg.registerUniformSG( *SDCUniDSG ); + } + + /* Generate all pairs of grids */ + std::vector> allPairs; + + generatePairs( numNearestNeighbors, allPairs ); + + std::vector allBetas; + std::vector allBetasSum; + std::vector allSubs; + std::vector allJs; + + for (auto pair : allPairs){ + + DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); + DistributedFullGrid& dfg_s = pair[1]->getDistributedFullGrid(); + + dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); + dfg_s.addToUniformSG( *SDCUniDSG, -1.0 ); + + CombiDataType localBetaMax(0.0); + + LevelVector subMax; + size_t jMax = 0; + + for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j){ + if (std::abs(subData[j]) > std::abs(localBetaMax)){ + localBetaMax = subData[j]; + subMax = SDCUniDSG->getLevelVector(i); + jMax = j; + } + } + } + + allBetas.push_back( localBetaMax ); + allSubs.push_back( subMax ); + allJs.push_back( jMax ); + + // Reset sparse grid to zero + for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j) + subData[j] = 0.0; + } + } + + std::vector allBetasReduced; + allBetasReduced.resize(allBetas.size()); + + CombiCom::BetasReduce( allBetas, allBetasReduced, theMPISystem()->getLocalComm() ); + + auto globalBetaMax = std::max_element(allBetasReduced.begin(), allBetasReduced.end(), + [](CombiDataType a, CombiDataType b){ return std::abs(a) < std::abs(b); } ); + + auto b = std::find( allBetas.begin(), allBetas.end(), *globalBetaMax ); + + betas_.clear(); + + if(b != allBetas.end()) { + + size_t indMax = std::distance(allBetas.begin(), b); + + LevelVector subMax = allSubs[indMax]; + std::cout<<"Subspace with SDC = "<getLevelVector(); + + DistributedFullGrid& dfg = t->getDistributedFullGrid(); + + dfg.addToUniformSG( *SDCUniDSG, 1.0 ); + + auto subData = SDCUniDSG->getData(subMax); + CombiDataType localValMax = subData[jMax]; + subspaceValues_[level] = localValMax; + + // Reset sparse grid to zero + for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j) + subData[j] = 0.0; + } + } + + filterSDCGSL( levelsSDC ); + + } + MPI_Barrier(theMPISystem()->getLocalComm()); + for (auto t : tasks_){ + DistributedFullGrid& dfg = t->getDistributedFullGrid(); + DistributedHierarchization::dehierarchize(dfg); + } } void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_stud, gsl_vector* r_lms ){ @@ -884,27 +1042,51 @@ void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vector &levelsSDC ){ - // Number of measurements (beta values) - size_t n = betas_.size(); - + auto dim = combiParameters_.getDim(); auto lmin = combiParameters_.getLMin(); auto lmax = combiParameters_.getLMax(); - size_t diff = lmax[0] - lmin[0] + 1; - // Number of unknowns (functions D1 and D2) - size_t p = 2*diff; + // Number of measurements (beta values) +// size_t n = betas_.size(); + size_t n = subspaceValues_.size(); + + // Determine which indices appear in the set of multi-indices + std::set indexSet; + for ( auto const &entry : betas_ ){ + LevelVector key_t = entry.first.first; + LevelVector key_s = entry.first.second; + for( IndexType t_i : key_t ) + indexSet.insert( t_i ); + for( IndexType s_i : key_s ) + indexSet.insert( s_i ); + } + + std::map indexMap; + IndexType row = 0; + for ( auto ii : indexSet ){ + indexMap[ii] = row; + row++; + } + + std::cout<<"Index Map:"< &levelsSDC ){ gsl_matrix *cov = gsl_matrix_alloc( p, p ); // Initialize matrix with zeros - gsl_matrix_set_zero( X ); +// gsl_matrix_set_zero( X ); + gsl_matrix_set_all( X, 1.0 ); - IndexType idx_D1, idx_D2; + IndexType idx_D1, idx_D2, idx_Di; - int row = 0; + row = 0; CombiDataType val; - for( auto const &entry : betas_ ){ - LevelVector key_t = entry.first.first; - LevelVector key_s = entry.first.second; - CombiDataType beta = entry.second; + for( auto const &entry : subspaceValues_){ + CombiDataType maxVal = entry.second; - std::vector ht = {1.0/pow(2.0,key_t[0]), 1.0/pow(2.0,key_t[1])}; - std::vector hs = {1.0/pow(2.0,key_s[0]), 1.0/pow(2.0,key_s[1])}; - - for( size_t i = 0; i < key_t.size(); ++i ){ - key_t[i] -= lmin[0]; - key_s[i] -= lmin[0]; - } - - idx_D1 = key_t[0]; - gsl_matrix_set( X, row, idx_D1, pow(ht[0],ex) ); - - idx_D1 = key_s[0]; - val = gsl_matrix_get( X, row, idx_D1 ); - gsl_matrix_set( X, row, idx_D1, val - pow(hs[0],ex) ); - - idx_D2 = diff + key_t[1]; - gsl_matrix_set( X, row, idx_D2, pow(ht[1],ex) ); - - idx_D2 = diff + key_s[1]; - val = gsl_matrix_get( X, row, idx_D2 ); - gsl_matrix_set( X, row, idx_D2, val - pow(hs[1],ex) ); - - gsl_vector_set( y, row, beta ); + gsl_vector_set( y, row, maxVal ); row++; } +// for( auto const &entry : betas_ ){ +// LevelVector key_t = entry.first.first; +// LevelVector key_s = entry.first.second; +// CombiDataType beta = entry.second; +// +// for( size_t di = 0; di < dim; ++di){ +// CombiDataType ht_i = 1.0/pow(2.0,key_t[di]); +// idx_Di = di*numIndices + indexMap[key_t[di]]; +// gsl_matrix_set( X, row, idx_Di, pow(ht_i,ex) ); +// +// CombiDataType hs_i = 1.0/pow(2.0,key_s[di]); +// idx_Di = di*numIndices + indexMap[key_s[di]]; +// val = gsl_matrix_get( X, row, idx_Di ); +// gsl_matrix_set( X, row, idx_Di, val - pow(hs_i,ex) ); +// } +// +// gsl_vector_set( y, row, beta ); +// +// row++; +// } gsl_set_error_handler_off(); gsl_multifit_robust( X, y, c, cov, regressionWsp ); @@ -971,27 +1150,44 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ gsl_multifit_robust_residuals(X, y, c, r_stud, regressionWsp); - //computeLMSResiduals( regressionWsp, r_stud, r_lms ); + computeLMSResiduals( regressionWsp, r_stud, r_lms ); - detectOutliers( r_stud->data, levelsSDC ); + double eps = 2.5; + detectOutliers( r_stud->data, levelsSDC, eps ); // Write pairs and their beta values to file std::stringstream buf; buf<data[row]; - buf<data[row]; + CombiDataType res = r_lms->data[row]; + buf<data[row]; +// buf<size << std::endl; for( size_t i = 0; i < c->size; ++i){ @@ -1009,7 +1205,7 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ gsl_multifit_robust_free(regressionWsp); } -void ProcessGroupWorker::detectOutliers( double* r_lms ,std::vector &levelsSDC ){ +void ProcessGroupWorker::detectOutliers( double* r_lms, std::vector &levelsSDC, double eps ){ std::map mapSDC; for ( auto const &entry : betas_ ){ @@ -1022,7 +1218,6 @@ void ProcessGroupWorker::detectOutliers( double* r_lms ,std::vector &levels size_t row = 0; size_t numSDCPairs = 0; - double eps = 2.5; for( auto const &entry : betas_ ){ LevelVector key_t = entry.first.first; LevelVector key_s = entry.first.second; diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp index 7054bbaea..3f0d1673b 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp @@ -62,7 +62,9 @@ class ProcessGroupWorker { void comparePairsSerial( int numNearestNeighbors, std::vector &levelsSDC ); - int compareValues(); + void comparePairsTests( int numNearestNeighbors, std::vector &levelsSDC ); + + int compareValues( int numNearestNeighbors, std::vector &levelsSDC ); void computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_stud, gsl_vector* r_lms ); @@ -75,9 +77,10 @@ class ProcessGroupWorker { void filterSDCGSL( std::vector &levelsSDC ); - void detectOutliers( double* r_lms ,std::vector &levelsSDC ); + void detectOutliers( double* r_lms ,std::vector &levelsSDC, double eps ); private: + TaskContainer tasks_; // task storage Task* currentTask_; @@ -96,7 +99,9 @@ class ProcessGroupWorker { MPI_File betasFile_; - std::map , CombiDataType> betas_; + std::map , CombiDataType> betas_; + + std::map subspaceValues_; void setCombinedSolutionUniform( Task* t ); }; From 8da80f5fee481902c6ca43c210b1018f7d922265 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Wed, 16 Nov 2016 13:43:55 -0700 Subject: [PATCH 16/37] Refactored code; compareValues function seems to be working --- .../manager/ProcessGroupWorker.cpp | 589 +++++++----------- .../manager/ProcessGroupWorker.hpp | 14 +- 2 files changed, 215 insertions(+), 388 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index d5a51502e..3f87b2206 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -482,22 +482,13 @@ void ProcessGroupWorker::searchSDC(){ theMPISystem()->getGlobalComm(), MPI_STATUS_IGNORE); } - // AP: Added for testing - method = 1; // distribute signal to other processes of pgroup MPI_Bcast( &method, 1, MPI_INT, theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm() ); std::vector levelsSDC; - if( method == COMPARE_PAIRS ){ - comparePairsDistributed( 2, levelsSDC ); -// MASTER_EXCLUSIVE_SECTION{ -// comparePairsDistributed( 2, levelsSDC ); -// } - } - if( method == COMPARE_VALUES ) - compareValues( 2, levelsSDC ); + compareSolutions( combiParameters_.getDim(), levelsSDC, method ); int numLocalSDC = levelsSDC.size(); int numGlobalSDC; @@ -523,54 +514,13 @@ void ProcessGroupWorker::searchSDC(){ } } -void ProcessGroupWorker::comparePairsTests( int numNearestNeighbors, std::vector &levelsSDC ){ - - /* Generate all pairs of grids */ - std::vector> allPairs; - - generatePairs( numNearestNeighbors, allPairs ); - - std::set indexSet; -// std::cout<<"All generated pairs:"<getLevelVector(); - LevelVector s_level = pair[1]->getLevelVector(); - - std::cout< indexMap; - IndexType row = 0; - for ( auto ii : indexSet ){ - indexMap[row] = ii; - row++; - } - - MASTER_EXCLUSIVE_SECTION{ - std::cout<<"Index Set:"< &levelsSDC ){ +void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector &levelsSDC, SDCMethodType method ){ DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); - MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); +// MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); for (auto t : tasks_){ DistributedFullGrid& dfg = t->getDistributedFullGrid(); @@ -647,251 +597,58 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: size_t jMax = allJs[indMax]; - for (auto pair : allPairs){ - - DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); - DistributedFullGrid& dfg_s = pair[1]->getDistributedFullGrid(); - - LevelVector t_level = pair[0]->getLevelVector(); - LevelVector s_level = pair[1]->getLevelVector(); + if ( method == COMPARE_PAIRS ) { + for (auto pair : allPairs){ - dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); - dfg_s.addToUniformSG( *SDCUniDSG, -1.0 ); + DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); + DistributedFullGrid& dfg_s = pair[1]->getDistributedFullGrid(); - auto subData = SDCUniDSG->getData(subMax); - CombiDataType localBetaMax = subData[jMax]; - betas_[std::make_pair(t_level, s_level)] = localBetaMax; + LevelVector t_level = pair[0]->getLevelVector(); + LevelVector s_level = pair[1]->getLevelVector(); - // Reset sparse grid to zero - for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ - auto subData = SDCUniDSG->getData(i); - auto subSize = SDCUniDSG->getDataSize(i); - for (size_t j = 0; j < subSize; ++j) - subData[j] = 0.0; - } - } + dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); + dfg_s.addToUniformSG( *SDCUniDSG, -1.0 ); - filterSDCGSL( levelsSDC ); + auto subData = SDCUniDSG->getData(subMax); + CombiDataType localBetaMax = subData[jMax]; + betas_[std::make_pair(t_level, s_level)] = localBetaMax; - } - MPI_Barrier(theMPISystem()->getLocalComm()); - for (auto t : tasks_){ - DistributedFullGrid& dfg = t->getDistributedFullGrid(); - DistributedHierarchization::dehierarchize(dfg); - } -} -void ProcessGroupWorker::comparePairsSerial( int numNearestNeighbors, std::vector &levelsSDC ){ - - /* Generate all pairs of grids */ - std::vector> allPairs; - - generatePairs( numNearestNeighbors, allPairs ); - - std::vector allBetas; - std::vector allJs; - size_t jMax; - - MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); - const DimType dim = combiParameters_.getDim(); - LevelVector lmax = combiParameters_.getLMax(); - const std::vector& boundary = combiParameters_.getBoundary(); - - for (auto pair : allPairs){ - - FullGrid fg_red(dim, lmax, boundary); - FullGrid fg_t(dim, pair[0]->getLevelVector(), boundary ); - FullGrid fg_s(dim, pair[1]->getLevelVector(), boundary ); - CombiDataType localBetaMax(0.0); - jMax = 0; - - // create the empty grid on only on localroot - MASTER_EXCLUSIVE_SECTION { - fg_red.createFullGrid(); - fg_t.createFullGrid(); - fg_s.createFullGrid(); - } - - pair[0]->getFullGrid( fg_t, theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm() ); - pair[1]->getFullGrid( fg_s, theMPISystem()->getMasterRank(), theMPISystem()->getLocalComm() ); - - MPI_Barrier(theMPISystem()->getLocalComm()); - MASTER_EXCLUSIVE_SECTION{ - fg_red.add(fg_t, 1.0 ); - fg_red.add(fg_s, -1.0 ); - Hierarchization::hierarchize(fg_red); - auto data_red = fg_red.getData(); - for (size_t j = 0; j < fg_red.getNrElements(); ++j){ - if (std::abs(data_red[j]) > std::abs(localBetaMax)){ - localBetaMax = data_red[j]; - jMax = j; + // Reset sparse grid to zero + for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j) + subData[j] = 0.0; } } - allBetas.push_back( localBetaMax ); - allJs.push_back( jMax ); - } - } - - MASTER_EXCLUSIVE_SECTION{ - auto globalBetaMax = std::max_element(allBetas.begin(), allBetas.end(), - [](CombiDataType a, CombiDataType b){ return std::abs(a) < std::abs(b); } ); - - auto b = std::find( allBetas.begin(), allBetas.end(), *globalBetaMax ); - size_t indMax = std::distance(allBetas.begin(), b); - jMax = allJs[indMax]; - - FullGrid fg_red(dim, lmax, boundary); - // create the empty grid on only on localroot - fg_red.createFullGrid(); - LevelVector sdcLevel(dim); - IndexVector indexes(dim); - fg_red.getLI(jMax, sdcLevel,indexes); - std::cout<<"SDC Level = " << sdcLevel<<", jMax = "<& dfg = t->getDistributedFullGrid(); - DistributedHierarchization::hierarchize(dfg); - dfg.registerUniformSG( *SDCUniDSG ); - } + if ( method == COMPARE_VALUES ) { + for (auto t: tasks_){ - /* Generate all pairs of grids */ - std::vector> allPairs; + LevelVector level = t->getLevelVector(); - generatePairs( numNearestNeighbors, allPairs ); + DistributedFullGrid& dfg = t->getDistributedFullGrid(); - std::vector allBetas; - std::vector allBetasSum; - std::vector allSubs; - std::vector allJs; + dfg.addToUniformSG( *SDCUniDSG, 1.0 ); - for (auto pair : allPairs){ + auto subData = SDCUniDSG->getData(subMax); + CombiDataType localValMax = subData[jMax]; + // todo: this is a dumb test (should check for subspace instead) + if (localValMax != 0) + subspaceValues_[level] = localValMax; - DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); - DistributedFullGrid& dfg_s = pair[1]->getDistributedFullGrid(); - - dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); - dfg_s.addToUniformSG( *SDCUniDSG, -1.0 ); - - CombiDataType localBetaMax(0.0); - - LevelVector subMax; - size_t jMax = 0; - - for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ - auto subData = SDCUniDSG->getData(i); - auto subSize = SDCUniDSG->getDataSize(i); - for (size_t j = 0; j < subSize; ++j){ - if (std::abs(subData[j]) > std::abs(localBetaMax)){ - localBetaMax = subData[j]; - subMax = SDCUniDSG->getLevelVector(i); - jMax = j; + // Reset sparse grid to zero + for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j) + subData[j] = 0.0; } } - } - - allBetas.push_back( localBetaMax ); - allSubs.push_back( subMax ); - allJs.push_back( jMax ); - - // Reset sparse grid to zero - for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ - auto subData = SDCUniDSG->getData(i); - auto subSize = SDCUniDSG->getDataSize(i); - for (size_t j = 0; j < subSize; ++j) - subData[j] = 0.0; + robustRegressionValues( levelsSDC ); } } - - std::vector allBetasReduced; - allBetasReduced.resize(allBetas.size()); - - CombiCom::BetasReduce( allBetas, allBetasReduced, theMPISystem()->getLocalComm() ); - - auto globalBetaMax = std::max_element(allBetasReduced.begin(), allBetasReduced.end(), - [](CombiDataType a, CombiDataType b){ return std::abs(a) < std::abs(b); } ); - - auto b = std::find( allBetas.begin(), allBetas.end(), *globalBetaMax ); - - betas_.clear(); - - if(b != allBetas.end()) { - - size_t indMax = std::distance(allBetas.begin(), b); - - LevelVector subMax = allSubs[indMax]; - std::cout<<"Subspace with SDC = "<getLevelVector(); - - DistributedFullGrid& dfg = t->getDistributedFullGrid(); - - dfg.addToUniformSG( *SDCUniDSG, 1.0 ); - - auto subData = SDCUniDSG->getData(subMax); - CombiDataType localValMax = subData[jMax]; - subspaceValues_[level] = localValMax; - - // Reset sparse grid to zero - for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ - auto subData = SDCUniDSG->getData(i); - auto subSize = SDCUniDSG->getDataSize(i); - for (size_t j = 0; j < subSize; ++j) - subData[j] = 0.0; - } - } - - filterSDCGSL( levelsSDC ); - - } MPI_Barrier(theMPISystem()->getLocalComm()); for (auto t : tasks_){ DistributedFullGrid& dfg = t->getDistributedFullGrid(); @@ -1040,25 +797,18 @@ void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vector &levelsSDC ){ +void ProcessGroupWorker::robustRegressionPairs( std::vector &levelsSDC ){ auto dim = combiParameters_.getDim(); auto lmin = combiParameters_.getLMin(); auto lmax = combiParameters_.getLMax(); - // Number of measurements (beta values) -// size_t n = betas_.size(); - size_t n = subspaceValues_.size(); - // Determine which indices appear in the set of multi-indices std::set indexSet; - for ( auto const &entry : betas_ ){ - LevelVector key_t = entry.first.first; - LevelVector key_s = entry.first.second; - for( IndexType t_i : key_t ) - indexSet.insert( t_i ); - for( IndexType s_i : key_s ) - indexSet.insert( s_i ); + for ( auto t : tasks_ ){ + LevelVector key = t->getLevelVector(); + for( IndexType k_i : key ) + indexSet.insert( k_i ); } std::map indexMap; @@ -1068,14 +818,16 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ row++; } - std::cout<<"Index Map:"< &levelsSDC ){ gsl_matrix *X = gsl_matrix_alloc( n, p ); gsl_vector *y = gsl_vector_alloc( n ); gsl_vector *c = gsl_vector_alloc( p ); - gsl_vector *r_lms = gsl_vector_alloc( n ); gsl_vector *r_stud = gsl_vector_alloc( n ); gsl_vector *rt = gsl_vector_alloc( n ); gsl_matrix *cov = gsl_matrix_alloc( p, p ); // Initialize matrix with zeros -// gsl_matrix_set_zero( X ); - gsl_matrix_set_all( X, 1.0 ); - - IndexType idx_D1, idx_D2, idx_Di; + gsl_matrix_set_zero( X ); - row = 0; + IndexType idx_Di; CombiDataType val; + row = 0; + for( auto const &entry : betas_ ){ + LevelVector key_t = entry.first.first; + LevelVector key_s = entry.first.second; + CombiDataType beta = entry.second; + + for( size_t di = 0; di < dim; ++di){ + CombiDataType ht_i = 1.0/pow(2.0,key_t[di]); + idx_Di = di*numIndices + indexMap[key_t[di]]; + gsl_matrix_set( X, row, idx_Di, pow(ht_i,ex) ); + + CombiDataType hs_i = 1.0/pow(2.0,key_s[di]); + idx_Di = di*numIndices + indexMap[key_s[di]]; + val = gsl_matrix_get( X, row, idx_Di ); + gsl_matrix_set( X, row, idx_Di, val - pow(hs_i,ex) ); + } + + gsl_vector_set( y, row, beta ); + + row++; + } + + gsl_set_error_handler_off(); + gsl_multifit_robust( X, y, c, cov, regressionWsp ); + + gsl_vector_memcpy(rt,y); + + gsl_blas_dgemv(CblasNoTrans, 1, X, c, 0.0, rt); + + std::cout<<"\nMeasured yi:\n"; + for(size_t i = 0; i < y->size; ++i) + std::cout<data[i]<<" "; + + std::cout<<"\nCalculated yi:\n"; + for(size_t i = 0; i < rt->size; ++i) + std::cout<data[i]<<" "; + + gsl_multifit_robust_residuals(X, y, c, r_stud, regressionWsp); + + double eps = 2.5; + detectOutliers( r_stud->data, levelsSDC, eps, COMPARE_PAIRS ); + + // Write pairs and their beta values to file + std::stringstream buf; + buf<data[row]; + buf<size << std::endl; + for( size_t i = 0; i < c->size; ++i){ + buf << c->data[i]< &levelsSDC ){ + + auto lmin = combiParameters_.getLMin(); + auto lmax = combiParameters_.getLMax(); + + // Number of measurements (beta values) + size_t n = subspaceValues_.size(); + + // Number of unknowns (values of functions D_i) + size_t p = 1; + + if ( n < 3 ){ + std::cout<<"Too few measurements: SDC detection skipped."< &levelsSDC ){ row++; } -// for( auto const &entry : betas_ ){ -// LevelVector key_t = entry.first.first; -// LevelVector key_s = entry.first.second; -// CombiDataType beta = entry.second; -// -// for( size_t di = 0; di < dim; ++di){ -// CombiDataType ht_i = 1.0/pow(2.0,key_t[di]); -// idx_Di = di*numIndices + indexMap[key_t[di]]; -// gsl_matrix_set( X, row, idx_Di, pow(ht_i,ex) ); -// -// CombiDataType hs_i = 1.0/pow(2.0,key_s[di]); -// idx_Di = di*numIndices + indexMap[key_s[di]]; -// val = gsl_matrix_get( X, row, idx_Di ); -// gsl_matrix_set( X, row, idx_Di, val - pow(hs_i,ex) ); -// } -// -// gsl_vector_set( y, row, beta ); -// -// row++; -// } gsl_set_error_handler_off(); gsl_multifit_robust( X, y, c, cov, regressionWsp ); @@ -1146,14 +980,12 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ for(size_t i = 0; i < rt->size; ++i) std::cout<data[i]<<" "; - gsl_multifit_robust_stats regressionStats = gsl_multifit_robust_statistics( regressionWsp ); - gsl_multifit_robust_residuals(X, y, c, r_stud, regressionWsp); computeLMSResiduals( regressionWsp, r_stud, r_lms ); double eps = 2.5; - detectOutliers( r_stud->data, levelsSDC, eps ); + detectOutliers( r_lms->data, levelsSDC, eps, COMPARE_VALUES ); // Write pairs and their beta values to file std::stringstream buf; @@ -1162,42 +994,25 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ for ( auto const &entry : subspaceValues_){ LevelVector key = entry.first; CombiDataType maxVal = entry.second; -// CombiDataType res = r_stud->data[row]; CombiDataType res = r_lms->data[row]; buf<data[row]; -// buf<size << std::endl; for( size_t i = 0; i < c->size; ++i){ buf << c->data[i]< &levelsSDC ){ gsl_multifit_robust_free(regressionWsp); } -void ProcessGroupWorker::detectOutliers( double* r_lms, std::vector &levelsSDC, double eps ){ +void ProcessGroupWorker::detectOutliers( double* residuals, std::vector &levelsSDC, double eps, SDCMethodType method ){ std::map mapSDC; - for ( auto const &entry : betas_ ){ - LevelVector key_t = entry.first.first; - LevelVector key_s = entry.first.second; - mapSDC[key_t] = 0; - mapSDC[key_s] = 0; - } + for ( auto t : tasks_ ){ + LevelVector key = t->getLevelVector(); + mapSDC[key] = 0; + } - size_t row = 0; - size_t numSDCPairs = 0; - - for( auto const &entry : betas_ ){ - LevelVector key_t = entry.first.first; - LevelVector key_s = entry.first.second; - CombiDataType beta = entry.second; - if ( std::abs(r_lms[row]) > eps && beta != 0 ){ - mapSDC[key_t]++; - mapSDC[key_s]++; - numSDCPairs++; - } - row++; - } - std::cout<< "SDC grid: " << std::endl; - for (auto s : mapSDC){ - if (s.second >= 2 || (s.second == 1 && numSDCPairs == 1)){ - std::cout< eps && beta != 0 ){ + mapSDC[key_t]++; + mapSDC[key_s]++; + numSDCPairs++; + } + row++; + } + std::cout<< "SDC grid: " << std::endl; + for (auto s : mapSDC){ + if (s.second >= 2 || (s.second == 1 && numSDCPairs == 1)){ + std::cout< eps ) + mapSDC[key]++; + row++; + } + std::cout<< "SDC grid: " << std::endl; + for (auto s : mapSDC){ + if (s.second == 1 ){ + std::cout< &levelsSDC ); - - void comparePairsSerial( int numNearestNeighbors, std::vector &levelsSDC ); - - void comparePairsTests( int numNearestNeighbors, std::vector &levelsSDC ); - - int compareValues( int numNearestNeighbors, std::vector &levelsSDC ); + void compareSolutions( int numNearestNeighbors, std::vector &levelsSDC, SDCMethodType method ); void computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_stud, gsl_vector* r_lms ); @@ -75,9 +69,11 @@ class ProcessGroupWorker { * */ void generatePairs( int numNearestNeighbors, std::vector> &allPairs); - void filterSDCGSL( std::vector &levelsSDC ); + void robustRegressionPairs( std::vector &levelsSDC ); + + void robustRegressionValues( std::vector &levelsSDC ); - void detectOutliers( double* r_lms ,std::vector &levelsSDC, double eps ); + void detectOutliers( double* residuals,std::vector &levelsSDC, double eps, SDCMethodType method ); private: From 5d7f99a8f1d406107eed5ae8243109c086fb49ae Mon Sep 17 00:00:00 2001 From: hinojosa Date: Fri, 18 Nov 2016 13:20:25 +0100 Subject: [PATCH 17/37] Minor changes before merge with hazel hen branch --- .../manager/ProcessGroupWorker.cpp | 59 ++++++++++++------- .../manager/ProcessGroupWorker.hpp | 2 +- 2 files changed, 38 insertions(+), 23 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 3f87b2206..3c7a531b3 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -334,16 +334,16 @@ void ProcessGroupWorker::combineUniform() { dfg.registerUniformSG(*combinedUniDSG_); } - for (Task* t : tasks_) { - - DistributedFullGrid& dfg = t->getDistributedFullGrid(); - - // hierarchize dfg - DistributedHierarchization::hierarchize(dfg); - - // lokales reduce auf sg -> - dfg.addToUniformSG( *combinedUniDSG_, combiParameters_.getCoeff( t->getID() ) ); - } +// for (Task* t : tasks_) { +// +// DistributedFullGrid& dfg = t->getDistributedFullGrid(); +// +// // hierarchize dfg +// DistributedHierarchization::hierarchize(dfg); +// +// // lokales reduce auf sg -> +// dfg.addToUniformSG( *combinedUniDSG_, combiParameters_.getCoeff( t->getID() ) ); +// } CombiCom::distributedGlobalReduce( *combinedUniDSG_ ); for (Task* t : tasks_) { @@ -488,7 +488,8 @@ void ProcessGroupWorker::searchSDC(){ theMPISystem()->getLocalComm() ); std::vector levelsSDC; - compareSolutions( combiParameters_.getDim(), levelsSDC, method ); +// compareSolutions( combiParameters_.getDim(), levelsSDC, method ); + compareSolutions( 2, levelsSDC, method ); int numLocalSDC = levelsSDC.size(); int numGlobalSDC; @@ -650,10 +651,10 @@ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector< } } MPI_Barrier(theMPISystem()->getLocalComm()); - for (auto t : tasks_){ - DistributedFullGrid& dfg = t->getDistributedFullGrid(); - DistributedHierarchization::dehierarchize(dfg); - } +// for (auto t : tasks_){ +// DistributedFullGrid& dfg = t->getDistributedFullGrid(); +// DistributedHierarchization::dehierarchize(dfg); +// } } void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_stud, gsl_vector* r_lms ){ @@ -890,8 +891,15 @@ void ProcessGroupWorker::robustRegressionPairs( std::vector &levelsSDC ){ gsl_multifit_robust_residuals(X, y, c, r_stud, regressionWsp); - double eps = 2.5; - detectOutliers( r_stud->data, levelsSDC, eps, COMPARE_PAIRS ); + // Before checking the residuals, check the data for extremely large values + double eps = 1e50; + detectOutliers( y->data, levelsSDC, eps, COMPARE_PAIRS); + + // Now we can check for large residuals + if(levelsSDC.size() == 0){ + eps = 2.5; + detectOutliers( r_stud->data, levelsSDC, eps, COMPARE_PAIRS ); + } // Write pairs and their beta values to file std::stringstream buf; @@ -984,8 +992,15 @@ void ProcessGroupWorker::robustRegressionValues( std::vector &levelsSDC ){ computeLMSResiduals( regressionWsp, r_stud, r_lms ); - double eps = 2.5; - detectOutliers( r_lms->data, levelsSDC, eps, COMPARE_VALUES ); + // Before checking the residuals, check the data for extremely large values + double eps = 1e50; + detectOutliers( y->data, levelsSDC, eps, COMPARE_VALUES ); + + // Now we can check for large residuals + if(levelsSDC.size() == 0){ + eps = 2.5; + detectOutliers( r_lms->data, levelsSDC, eps, COMPARE_VALUES ); + } // Write pairs and their beta values to file std::stringstream buf; @@ -1020,7 +1035,7 @@ void ProcessGroupWorker::robustRegressionValues( std::vector &levelsSDC ){ gsl_multifit_robust_free(regressionWsp); } -void ProcessGroupWorker::detectOutliers( double* residuals, std::vector &levelsSDC, double eps, SDCMethodType method ){ +void ProcessGroupWorker::detectOutliers( double* data, std::vector &levelsSDC, double eps, SDCMethodType method ){ std::map mapSDC; for ( auto t : tasks_ ){ @@ -1036,7 +1051,7 @@ void ProcessGroupWorker::detectOutliers( double* residuals, std::vector &le LevelVector key_t = entry.first.first; LevelVector key_s = entry.first.second; CombiDataType beta = entry.second; - if ( std::abs(residuals[row]) > eps && beta != 0 ){ + if ( std::abs(data[row]) > eps && beta != 0 ){ mapSDC[key_t]++; mapSDC[key_s]++; numSDCPairs++; @@ -1055,7 +1070,7 @@ void ProcessGroupWorker::detectOutliers( double* residuals, std::vector &le if ( method == COMPARE_VALUES ) { for( auto const &entry : subspaceValues_ ){ LevelVector key = entry.first; - if ( std::abs(residuals[row]) > eps ) + if ( std::abs(data[row]) > eps ) mapSDC[key]++; row++; } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp index 17fcc6bc4..8f9d71a5b 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp @@ -73,7 +73,7 @@ class ProcessGroupWorker { void robustRegressionValues( std::vector &levelsSDC ); - void detectOutliers( double* residuals,std::vector &levelsSDC, double eps, SDCMethodType method ); + void detectOutliers( double* residuals, std::vector &levelsSDC, double eps, SDCMethodType method ); private: From 41776caa653a009bc10a3dc405b3f2f5ffff8136 Mon Sep 17 00:00:00 2001 From: Alfredo Hinojosa Date: Fri, 18 Nov 2016 13:21:50 +0100 Subject: [PATCH 18/37] Changes to scons files. --- SConstruct | 5 ++ distributedcombigrid/SConscript | 2 +- .../manager/ProcessGroupWorker.cpp | 79 +++++++++++++------ site_scons/SGppConfigure.py | 40 ++++++++++ 4 files changed, 99 insertions(+), 27 deletions(-) diff --git a/SConstruct b/SConstruct index 913c4d337..e3df90991 100644 --- a/SConstruct +++ b/SConstruct @@ -113,6 +113,10 @@ vars.Add("OCL_INCLUDE_PATH", "Set path to the OpenCL header files (parent direct vars.Add("OCL_LIBRARY_PATH", "Set path to the OpenCL library") vars.Add("BOOST_INCLUDE_PATH", "Set path to the Boost header files", "/usr/include") vars.Add("BOOST_LIBRARY_PATH", "Set path to the Boost library", "/usr/lib/x86_64-linux-gnu") +vars.Add("GLPK_INCLUDE_PATH", 'Specifies the location of the GLPK header files.', '/usr/include') +vars.Add("GLPK_LIBRARY_PATH", 'Specifies the location of the GLPK library.', '/usr/lib64') +vars.Add("GSL_INCLUDE_PATH", 'Specifies the location of the GLPK header files.', '/usr/include') +vars.Add("GSL_LIBRARY_PATH", 'Specifies the location of the GLPK library.', '/usr/lib64') vars.Add(BoolVariable("COMPILE_BOOST_TESTS", "Compile the test cases written using Boost Test", True)) vars.Add(BoolVariable("COMPILE_BOOST_PERFORMANCE_TESTS", @@ -133,6 +137,7 @@ vars.Add(BoolVariable("USE_GMMPP", "Set if Gmm++ should be used " + "(only relevant for sgpp::optimization)", False)) vars.Add(BoolVariable("USE_UMFPACK", "Set if UMFPACK should be used " + "(only relevant for sgpp::optimization)", False)) +vars.Add(BoolVariable('USE_STATICLIB', 'Sets if a static library should be built.', False)) vars.Add(BoolVariable("BUILD_STATICLIB", "Set if static libraries should be built " + "instead of shared libraries", False)) vars.Add(BoolVariable("PRINT_INSTRUCTIONS", "Print instructions for installing SG++", True)) diff --git a/distributedcombigrid/SConscript b/distributedcombigrid/SConscript index 12ca21b7c..b26ef825a 100755 --- a/distributedcombigrid/SConscript +++ b/distributedcombigrid/SConscript @@ -17,4 +17,4 @@ module.generatePythonDocstrings() module.buildExamples() module.buildBoostTests() module.runBoostTests() -module.runCpplint() \ No newline at end of file +module.runCpplint() diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 7703eb1b6..8318f9a26 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -525,7 +525,7 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); - MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); + //MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); for (auto t : tasks_){ DistributedFullGrid& dfg = t->getDistributedFullGrid(); @@ -570,9 +570,14 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: allSubs.push_back( subMax ); allJs.push_back( jMax ); - // Remove from sparse grid - dfg_t.addToUniformSG( *SDCUniDSG, -1.0 ); - dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); + // Reset sparse grid to zero + for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j) + subData[j] = 0.0; + } + } std::vector allBetasReduced; @@ -612,12 +617,17 @@ void ProcessGroupWorker::comparePairsDistributed( int numNearestNeighbors, std:: CombiDataType localBetaMax = subData[jMax]; betas_[std::make_pair(t_level, s_level)] = localBetaMax; - dfg_t.addToUniformSG( *SDCUniDSG, -1.0 ); - dfg_s.addToUniformSG( *SDCUniDSG, 1.0 ); + // Reset sparse grid to zero + for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ + auto subData = SDCUniDSG->getData(i); + auto subSize = SDCUniDSG->getDataSize(i); + for (size_t j = 0; j < subSize; ++j) + subData[j] = 0.0; + } } - filterSDCPython( levelsSDC ); -// filterSDCGSL( levelsSDC ); + // filterSDCPython( levelsSDC ); + filterSDCGSL( levelsSDC ); } MPI_Barrier(theMPISystem()->getLocalComm()); @@ -749,13 +759,13 @@ void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* reg gsl_vector_memcpy(r_stand, regressionStats.r); gsl_vector_memcpy(r_lms, regressionStats.r); + std::cout<<"Residuals:\n"; + for(size_t i = 0; i < regressionStats.r->size; ++i) + std::cout<data[i]<<" "; + for (size_t i = 0; i < r->size; ++i) gsl_vector_set(r2, i, std::pow(gsl_vector_get(r, i),2)); - std::cout<<"Residuals2:\n"; - for(size_t i = 0; i < regressionStats.r->size; ++i) - std::cout<data[i]<<" "; - gsl_vector_memcpy(r2_sorted, r2); gsl_sort_vector(r2_sorted); @@ -766,7 +776,7 @@ void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* reg // Preliminary scale estimate double s0 = 1.4826*( 1 + 5.0/(n-p-1))*(std::sqrt(median_r2)); - std::cout<<"s0 ="<size; ++i) std::cout<data[i]<<" "; + // Robust scale estimate double prod; gsl_blas_ddot( weights, r2, &prod ); - std::cout<<"Prod = "<size; ++i) - std::cout<data[i]<<" "; std::cout<<"s_star = "< &levelsSDC ){ if ( n < p ) return; - gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc(gsl_multifit_robust_default, n , p ); + gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc(gsl_multifit_robust_cauchy, n , p ); -// double tune_const = 6.0; +// double tune_const = 1.0; // gsl_multifit_robust_tune( tune_const, regressionWsp ); - // gsl_multifit_robust_maxiter( 100, regressionWsp ); + //gsl_multifit_robust_maxiter( 100, regressionWsp ); gsl_matrix *X = gsl_matrix_alloc( n, p ); gsl_vector *y = gsl_vector_alloc( n ); gsl_vector *c = gsl_vector_alloc( p ); gsl_vector *r_lms = gsl_vector_alloc( n ); + gsl_vector *rt = gsl_vector_alloc( n ); gsl_matrix *cov = gsl_matrix_alloc( p, p ); // Initialize matrix with zeros @@ -951,9 +959,28 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ gsl_set_error_handler_off(); gsl_multifit_robust( X, y, c, cov, regressionWsp ); + gsl_vector_memcpy(rt,y); + + gsl_blas_dgemv(CblasNoTrans, 1, X, c, 0.0, rt); + + std::cout<<"\nMeasured yi:\n"; + for(size_t i = 0; i < y->size; ++i) + std::cout<data[i]<<" "; + + std::cout<<"\nCalculated yi:\n"; + for(size_t i = 0; i < rt->size; ++i) + std::cout<data[i]<<" "; + + gsl_vector_memcpy(rt,y); + gsl_blas_dgemv(CblasNoTrans, -1.0, X, c, 1.0, rt); + std::cout<<"\nCalculated ri:\n"; + for(size_t i = 0; i < rt->size; ++i) + std::cout<data[i]<<" "; + gsl_multifit_robust_stats regressionStats = gsl_multifit_robust_statistics( regressionWsp ); + gsl_multifit_robust_residuals(X, y, c, r_lms, regressionWsp); - computeLMSResiduals( regressionWsp, r_lms ); + //computeLMSResiduals( regressionWsp, r_lms ); detectOutliers( r_lms->data, levelsSDC ); @@ -967,8 +994,8 @@ void ProcessGroupWorker::filterSDCGSL( std::vector &levelsSDC ){ CombiDataType beta = entry.second; CombiDataType res = r_lms->data[row]; buf< &levelsSDC ){ buf << c->size << std::endl; for( size_t i = 0; i < c->size; ++i){ buf << c->data[i]< 2: + continue # ask again + else: + if resp[0].lower() == 'n': + sys.stderr.write("\nglpk library installation skipped\n\n") + break + elif resp[0].lower() == 'y' or len(resp) == 1: + install_res = install_glpk() + if install_res == True: + sys.stderr.write("\nglpk library installed successfully!\n\n") + else: + sys.stderr.write("\nglpk library installation failed! Manual installation might be required or dependencies failed.\n\n") + break + else: + continue # ask again + sys.stdout.flush() env = config.Finish() print "Configuration done." From 270c04489f66f24b26272088e71144b61f6a3c42 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Mon, 21 Nov 2016 18:37:24 +0100 Subject: [PATCH 19/37] SDC method can be specified from params file --- .../fault_tolerance/FTUtils.hpp | 2 ++ .../manager/ProcessGroupWorker.cpp | 36 ++++++++++--------- 2 files changed, 22 insertions(+), 16 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp index cb3a1421d..37358328e 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp @@ -128,6 +128,7 @@ struct FaultsInfo { IndexVector taskFaults_; CombiDataType sdcMag_; int sdcSub_; + int sdcMethod_; private: friend class boost::serialization::access; // serialize @@ -144,6 +145,7 @@ void FaultsInfo::serialize(Archive& ar, const unsigned int version) { ar& taskFaults_; ar& sdcMag_; ar& sdcSub_; + ar& sdcMethod_; } } // namespace combigrid diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 3c7a531b3..51eec665f 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -334,16 +334,16 @@ void ProcessGroupWorker::combineUniform() { dfg.registerUniformSG(*combinedUniDSG_); } -// for (Task* t : tasks_) { -// -// DistributedFullGrid& dfg = t->getDistributedFullGrid(); -// -// // hierarchize dfg -// DistributedHierarchization::hierarchize(dfg); -// -// // lokales reduce auf sg -> -// dfg.addToUniformSG( *combinedUniDSG_, combiParameters_.getCoeff( t->getID() ) ); -// } + for (Task* t : tasks_) { + + DistributedFullGrid& dfg = t->getDistributedFullGrid(); + + // hierarchize dfg + DistributedHierarchization::hierarchize(dfg); + + // lokales reduce auf sg -> + dfg.addToUniformSG( *combinedUniDSG_, combiParameters_.getCoeff( t->getID() ) ); + } CombiCom::distributedGlobalReduce( *combinedUniDSG_ ); for (Task* t : tasks_) { @@ -556,7 +556,7 @@ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector< auto subData = SDCUniDSG->getData(i); auto subSize = SDCUniDSG->getDataSize(i); for (size_t j = 0; j < subSize; ++j){ - if (std::abs(subData[j]) > std::abs(localBetaMax)){ + if (std::abs(subData[j]) >= std::abs(localBetaMax)){ localBetaMax = subData[j]; subMax = SDCUniDSG->getLevelVector(i); jMax = j; @@ -588,6 +588,7 @@ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector< auto b = std::find( allBetas.begin(), allBetas.end(), *globalBetaMax ); betas_.clear(); + subspaceValues_.clear(); if(b != allBetas.end()) { @@ -599,6 +600,7 @@ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector< size_t jMax = allJs[indMax]; if ( method == COMPARE_PAIRS ) { + for (auto pair : allPairs){ DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); @@ -625,6 +627,7 @@ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector< robustRegressionPairs( levelsSDC ); } if ( method == COMPARE_VALUES ) { + for (auto t: tasks_){ LevelVector level = t->getLevelVector(); @@ -635,8 +638,9 @@ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector< auto subData = SDCUniDSG->getData(subMax); CombiDataType localValMax = subData[jMax]; + // todo: this is a dumb test (should check for subspace instead) - if (localValMax != 0) + if ( subMax <= level ) subspaceValues_[level] = localValMax; // Reset sparse grid to zero @@ -651,10 +655,10 @@ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector< } } MPI_Barrier(theMPISystem()->getLocalComm()); -// for (auto t : tasks_){ -// DistributedFullGrid& dfg = t->getDistributedFullGrid(); -// DistributedHierarchization::dehierarchize(dfg); -// } + for (auto t : tasks_){ + DistributedFullGrid& dfg = t->getDistributedFullGrid(); + DistributedHierarchization::dehierarchize(dfg); + } } void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_stud, gsl_vector* r_lms ){ From c0f765046cbb74c39cf51d554b2b7f295fc11116 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Sun, 27 Nov 2016 17:51:54 +0100 Subject: [PATCH 20/37] Moved high value detection before robust regression --- .../manager/ProcessGroupWorker.cpp | 64 ++++++++++--------- 1 file changed, 35 insertions(+), 29 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 51eec665f..526e6481e 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -318,28 +318,28 @@ void ProcessGroupWorker::combineUniform() { lmax[i] -= 1; // todo: delete old dsg - if (combinedUniDSG_ != NULL) - delete combinedUniDSG_; +// if (combinedUniDSG_ != NULL) +// delete combinedUniDSG_; // erzeug dsg - combinedUniDSG_ = new DistributedSparseGridUniform(dim, lmax, - lmin, boundary, - theMPISystem()->getLocalComm()); +// combinedUniDSG_ = new DistributedSparseGridUniform(dim, lmax, +// lmin, boundary, +// theMPISystem()->getLocalComm()); // todo: move to init function to avoid reregistering // register dsg in all dfgs - for (Task* t : tasks_) { - DistributedFullGrid& dfg = t->getDistributedFullGrid(); - - dfg.registerUniformSG(*combinedUniDSG_); - } +// for (Task* t : tasks_) { +// DistributedFullGrid& dfg = t->getDistributedFullGrid(); +// +// dfg.registerUniformSG(*combinedUniDSG_); +// } for (Task* t : tasks_) { DistributedFullGrid& dfg = t->getDistributedFullGrid(); // hierarchize dfg - DistributedHierarchization::hierarchize(dfg); +// DistributedHierarchization::hierarchize(dfg); // lokales reduce auf sg -> dfg.addToUniformSG( *combinedUniDSG_, combiParameters_.getCoeff( t->getID() ) ); @@ -517,10 +517,18 @@ void ProcessGroupWorker::searchSDC(){ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector &levelsSDC, SDCMethodType method ){ - DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( + // todo: delete old dsg + if (combinedUniDSG_ != NULL) + delete combinedUniDSG_; + + // erzeug dsg +// DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( +// combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), +// combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); + combinedUniDSG_ = new DistributedSparseGridUniform( combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); - +DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; // MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); for (auto t : tasks_){ @@ -639,7 +647,6 @@ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector< auto subData = SDCUniDSG->getData(subMax); CombiDataType localValMax = subData[jMax]; - // todo: this is a dumb test (should check for subspace instead) if ( subMax <= level ) subspaceValues_[level] = localValMax; @@ -654,11 +661,12 @@ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector< robustRegressionValues( levelsSDC ); } } + // todo: Barrier needed? MPI_Barrier(theMPISystem()->getLocalComm()); - for (auto t : tasks_){ - DistributedFullGrid& dfg = t->getDistributedFullGrid(); - DistributedHierarchization::dehierarchize(dfg); - } +// for (auto t : tasks_){ +// DistributedFullGrid& dfg = t->getDistributedFullGrid(); +// DistributedHierarchization::dehierarchize(dfg); +// } } void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* regressionWsp, gsl_vector* r_stud, gsl_vector* r_lms ){ @@ -950,11 +958,6 @@ void ProcessGroupWorker::robustRegressionValues( std::vector &levelsSDC ){ // Number of unknowns (values of functions D_i) size_t p = 1; - if ( n < 3 ){ - std::cout<<"Too few measurements: SDC detection skipped."< &levelsSDC ){ int row = 0; for( auto const &entry : subspaceValues_){ CombiDataType maxVal = entry.second; - gsl_vector_set( y, row, maxVal ); - row++; } + // Before checking the residuals, check the data for extremely large values + double eps = 1e50; + detectOutliers( y->data, levelsSDC, eps, COMPARE_VALUES ); + + if ( n < 3 ){ + std::cout<<"Too few measurements: Robust regression skipped."< &levelsSDC ){ computeLMSResiduals( regressionWsp, r_stud, r_lms ); - // Before checking the residuals, check the data for extremely large values - double eps = 1e50; - detectOutliers( y->data, levelsSDC, eps, COMPARE_VALUES ); - // Now we can check for large residuals if(levelsSDC.size() == 0){ eps = 2.5; From eba00201c0d9f4d21700f3f74a9702fcaf9856e3 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Mon, 28 Nov 2016 15:46:26 +0100 Subject: [PATCH 21/37] Now specifying vector index where SDC is to be injected --- .../src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp | 4 ++-- .../sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp | 3 +++ 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp index 37358328e..d92707d52 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp @@ -126,8 +126,8 @@ struct FaultsInfo { IndexVector iterationFaults_; IndexVector localRankFaults_; IndexVector taskFaults_; + IndexVector sdcIndex_; CombiDataType sdcMag_; - int sdcSub_; int sdcMethod_; private: friend class boost::serialization::access; @@ -143,8 +143,8 @@ void FaultsInfo::serialize(Archive& ar, const unsigned int version) { ar& iterationFaults_; ar& localRankFaults_; ar& taskFaults_; + ar& sdcIndex_; ar& sdcMag_; - ar& sdcSub_; ar& sdcMethod_; } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 526e6481e..4f980a9d1 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -537,6 +537,9 @@ DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; dfg.registerUniformSG( *SDCUniDSG ); } + if ( tasks_.size() == 1 ) + return; + /* Generate all pairs of grids */ std::vector> allPairs; From cc52271fbb7cc683c0edaa9553f12f7373e54404 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Thu, 1 Dec 2016 09:24:09 +0100 Subject: [PATCH 22/37] Fixed fault recognition when fault hits lower diagonals --- .../fault_tolerance/LPOptimizationInterpolation.cpp | 9 +++++++++ .../fault_tolerance/LPOptimizationInterpolation.hpp | 7 +++++++ .../manager/ProcessGroupWorker.cpp | 2 +- .../distributedcombigrid/manager/ProcessManager.hpp | 11 +++++++++-- 4 files changed, 26 insertions(+), 3 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.cpp index 71d939514..5880de709 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.cpp @@ -46,6 +46,7 @@ LP_OPT_INTERP::LP_OPT_INTERP(const LevelVectorList& _levels, const int& _dim, } no_faults = static_cast(valid_input_faults.size()); + no_faults_recompute = static_cast(recompute_faults.size()); if (no_faults == 0) { std::cout << "No faults to fix." << std::endl; @@ -341,6 +342,14 @@ int LP_OPT_INTERP::getNumFaults(){ return no_faults; } +int LP_OPT_INTERP::getNumFaultsRecompute(){ + return no_faults_recompute; +} + +LevelVectorList LP_OPT_INTERP::getFaultsRecompute(){ + return recompute_faults; +} + LP_OPT_INTERP::~LP_OPT_INTERP() { glp_delete_prob(i_lp_prob); } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.hpp index 27e400454..d3fc1910e 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/LPOptimizationInterpolation.hpp @@ -27,6 +27,9 @@ class LP_OPT_INTERP: public LP_OPT { /* no. of constraints */ int no_faults; + + /* no. of faults to recompute*/ + int no_faults_recompute; /* level max sum */ IndexType l_max; @@ -72,6 +75,10 @@ class LP_OPT_INTERP: public LP_OPT { virtual int getNumFaults(); + virtual int getNumFaultsRecompute(); + + virtual LevelVectorList getFaultsRecompute(); + virtual void solve_opti_problem() const; virtual CombigridDict get_results( LevelVectorList& recomp_faults ) const; diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 4f980a9d1..5a5864f6c 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -500,7 +500,7 @@ void ProcessGroupWorker::searchSDC(){ if (!theMPISystem()->isMaster()){ MPI_Send( &levelsSDC[0], numLocalSDC, MPI_INT, theMPISystem()->getMasterRank(), infoTag, theMPISystem()->getLocalComm() ); } - }else{ + } else { MASTER_EXCLUSIVE_SECTION{ levelsSDC.resize(tasks_.size()); MPI_Recv( &levelsSDC[0], tasks_.size(), MPI_INT, MPI_ANY_SOURCE, infoTag, theMPISystem()->getLocalComm(), &statusSDC ); diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp index ce9c38e49..a867b6395 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessManager.hpp @@ -265,9 +265,9 @@ ProcessManager::recomputeOptimumCoefficients(std::string prob_name, std::map IDsToLevels = params_.getLevelsDict(); LevelVectorList faultLevelVectors; - for (auto id : faultsID) + for (auto id : faultsID){ faultLevelVectors.push_back(IDsToLevels[id]); - + } LevelVectorList lvlminmax; lvlminmax.push_back(params_.getLMin()); @@ -308,6 +308,13 @@ ProcessManager::recomputeOptimumCoefficients(std::string prob_name, std::set_difference(faultsID.begin(), faultsID.end(), recomputeFaultsID.begin(), recomputeFaultsID.end(), std::inserter(redistributeFaultsID, redistributeFaultsID.begin())); + }else if( opt_interp.getNumFaultsRecompute() != 0 ){ + + LevelVectorList recomputeLevelVectors = opt_interp.getFaultsRecompute(); + std::map LevelsToIDs = params_.getLevelsToIDs(); + for(auto l : recomputeLevelVectors){ + recomputeFaultsID.push_back(LevelsToIDs[l]); + } } } From 897f94194d90534f6584696b4a138bb3088ed5de Mon Sep 17 00:00:00 2001 From: hinojosa Date: Tue, 6 Dec 2016 13:29:07 +0100 Subject: [PATCH 23/37] With strategy switch for small number of measurements. --- .../manager/ProcessGroupWorker.cpp | 54 ++++++++++--------- 1 file changed, 30 insertions(+), 24 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 5a5864f6c..9329cfcd3 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -488,8 +488,8 @@ void ProcessGroupWorker::searchSDC(){ theMPISystem()->getLocalComm() ); std::vector levelsSDC; -// compareSolutions( combiParameters_.getDim(), levelsSDC, method ); - compareSolutions( 2, levelsSDC, method ); + compareSolutions( combiParameters_.getDim(), levelsSDC, method ); +// compareSolutions( 2, levelsSDC, method ); int numLocalSDC = levelsSDC.size(); int numGlobalSDC; @@ -601,6 +601,7 @@ DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; betas_.clear(); subspaceValues_.clear(); + // The following is only done by the process that contains the suspicious value if(b != allBetas.end()) { size_t indMax = std::distance(allBetas.begin(), b); @@ -610,22 +611,21 @@ DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; size_t jMax = allJs[indMax]; - if ( method == COMPARE_PAIRS ) { + if ( method == COMPARE_VALUES ) { - for (auto pair : allPairs){ + for (auto t: tasks_){ - DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); - DistributedFullGrid& dfg_s = pair[1]->getDistributedFullGrid(); + LevelVector level = t->getLevelVector(); - LevelVector t_level = pair[0]->getLevelVector(); - LevelVector s_level = pair[1]->getLevelVector(); + DistributedFullGrid& dfg = t->getDistributedFullGrid(); - dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); - dfg_s.addToUniformSG( *SDCUniDSG, -1.0 ); + dfg.addToUniformSG( *SDCUniDSG, 1.0 ); auto subData = SDCUniDSG->getData(subMax); - CombiDataType localBetaMax = subData[jMax]; - betas_[std::make_pair(t_level, s_level)] = localBetaMax; + CombiDataType localValMax = subData[jMax]; + + if ( subMax <= level ) + subspaceValues_[level] = localValMax; // Reset sparse grid to zero for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ @@ -635,23 +635,29 @@ DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; subData[j] = 0.0; } } - robustRegressionPairs( levelsSDC ); + if( subspaceValues_.size() < 5 ){ + std::cout<<"To few measurements. Changing strategy to search pairs."<getLevelVector(); + DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); + DistributedFullGrid& dfg_s = pair[1]->getDistributedFullGrid(); - DistributedFullGrid& dfg = t->getDistributedFullGrid(); + LevelVector t_level = pair[0]->getLevelVector(); + LevelVector s_level = pair[1]->getLevelVector(); - dfg.addToUniformSG( *SDCUniDSG, 1.0 ); + dfg_t.addToUniformSG( *SDCUniDSG, 1.0 ); + dfg_s.addToUniformSG( *SDCUniDSG, -1.0 ); auto subData = SDCUniDSG->getData(subMax); - CombiDataType localValMax = subData[jMax]; - - if ( subMax <= level ) - subspaceValues_[level] = localValMax; + CombiDataType localBetaMax = subData[jMax]; + betas_[std::make_pair(t_level, s_level)] = localBetaMax; // Reset sparse grid to zero for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ @@ -661,7 +667,7 @@ DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; subData[j] = 0.0; } } - robustRegressionValues( levelsSDC ); + robustRegressionPairs( levelsSDC ); } } // todo: Barrier needed? @@ -985,7 +991,7 @@ void ProcessGroupWorker::robustRegressionValues( std::vector &levelsSDC ){ double eps = 1e50; detectOutliers( y->data, levelsSDC, eps, COMPARE_VALUES ); - if ( n < 3 ){ + if ( n < 5 ){ std::cout<<"Too few measurements: Robust regression skipped."< Date: Tue, 6 Dec 2016 13:31:39 +0100 Subject: [PATCH 24/37] Minor fixes --- .../distributedcombigrid/manager/ProcessGroupWorker.cpp | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 5a5864f6c..173e1d3da 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -488,8 +488,8 @@ void ProcessGroupWorker::searchSDC(){ theMPISystem()->getLocalComm() ); std::vector levelsSDC; -// compareSolutions( combiParameters_.getDim(), levelsSDC, method ); - compareSolutions( 2, levelsSDC, method ); + compareSolutions( combiParameters_.getDim(), levelsSDC, method ); +// compareSolutions( 2, levelsSDC, method ); int numLocalSDC = levelsSDC.size(); int numGlobalSDC; @@ -985,7 +985,7 @@ void ProcessGroupWorker::robustRegressionValues( std::vector &levelsSDC ){ double eps = 1e50; detectOutliers( y->data, levelsSDC, eps, COMPARE_VALUES ); - if ( n < 3 ){ + if ( n < 5 ){ std::cout<<"Too few measurements: Robust regression skipped."< &levelsSDC ){ gsl_multifit_robust_residuals(X, y, c, r_stud, regressionWsp); - computeLMSResiduals( regressionWsp, r_stud, r_lms ); + computeLMSResiduals( regressionWsp, regressionWsp->r, r_lms ); // Now we can check for large residuals if(levelsSDC.size() == 0){ From 7857a5fa9abc36a08aad36940dee6365be380e3d Mon Sep 17 00:00:00 2001 From: hinojosa Date: Wed, 7 Dec 2016 13:30:04 +0100 Subject: [PATCH 25/37] Removed local_rank_faults from sdcInfo struct --- .../src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp | 2 -- 1 file changed, 2 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp index d92707d52..1bb2e7091 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp @@ -124,7 +124,6 @@ struct FaultsInfo { public: int numFaults_; IndexVector iterationFaults_; - IndexVector localRankFaults_; IndexVector taskFaults_; IndexVector sdcIndex_; CombiDataType sdcMag_; @@ -141,7 +140,6 @@ template void FaultsInfo::serialize(Archive& ar, const unsigned int version) { ar& numFaults_; ar& iterationFaults_; - ar& localRankFaults_; ar& taskFaults_; ar& sdcIndex_; ar& sdcMag_; From 13909c5e3faac7b81a1b9b3549d8971a496c380c Mon Sep 17 00:00:00 2001 From: Alfredo Hinojosa Date: Tue, 13 Dec 2016 13:24:16 +0100 Subject: [PATCH 26/37] Assuming only one outlier --- .../src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp | 1 + 1 file changed, 1 insertion(+) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 059cd6b10..49943d2fe 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -717,6 +717,7 @@ void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* reg // Threshold for residuals double eps = 2.5; + // Weights for each residual for(size_t i = 0; i < r_stand->size; ++i){ if(std::abs(r_stand->data[i]) <= eps) gsl_vector_set(weights, i, 1); From 0830732f1ff77c21237e579f3dacb2dfac49c7ad Mon Sep 17 00:00:00 2001 From: Alfredo Hinojosa Date: Tue, 13 Dec 2016 13:48:01 +0100 Subject: [PATCH 27/37] Correct initialization of weight vector --- .../manager/ProcessGroupWorker.cpp | 25 ++++++++++++++----- 1 file changed, 19 insertions(+), 6 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 49943d2fe..bdfde64bc 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -715,15 +715,28 @@ void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* reg // Standardized residuals gsl_vector_scale(r_stand, 1.0/s0); + for (size_t i = 0; i < r_stand->size; ++i) + gsl_vector_set(r_stand, i, fabs(gsl_vector_get(r_stand, i))); + + // Largest residual + double r_max = gsl_vector_max(r_stand); + size_t r_max_index = gsl_vector_max_index(r_stand); + // Threshold for residuals double eps = 2.5; + + // Weight for max residual + gsl_vector_set_all( weights, 1 ); + if(r_stand->data[r_max_index] > eps) + gsl_vector_set(weights, r_max_index, 0); + // Weights for each residual - for(size_t i = 0; i < r_stand->size; ++i){ - if(std::abs(r_stand->data[i]) <= eps) - gsl_vector_set(weights, i, 1); - else - gsl_vector_set(weights, i, 0); - } + //for(size_t i = 0; i < r_stand->size; ++i){ + // if(std::abs(r_stand->data[i]) <= eps) + // gsl_vector_set(weights, i, 1); + // else + // gsl_vector_set(weights, i, 0); + //} // Robust scale estimate double prod; From 74570285720e45abf79f7360300bc22d5f463253 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Thu, 15 Dec 2016 18:10:46 +0100 Subject: [PATCH 28/37] Added check by varying combicoefficients of suspicious function values --- .../fault_tolerance/FTUtils.cpp | 1 - .../fault_tolerance/FTUtils.hpp | 1 - .../manager/CombiParameters.hpp | 1 + .../manager/ProcessGroupWorker.cpp | 74 ++++++++++++++++--- .../manager/ProcessGroupWorker.hpp | 5 +- 5 files changed, 70 insertions(+), 12 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp index 8ea8d546d..6fac0f00a 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.cpp @@ -500,5 +500,4 @@ std::vector select_coeff_downset(const std::vector& all_c, return donwset_c; } - } // namespace combigrid diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp index 1bb2e7091..2ad94153f 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp @@ -114,7 +114,6 @@ void check_input_levels(const LevelVectorList& levels); std::vector select_coeff_downset(const std::vector& all_c, const CombigridDict& given_downset, const CombigridDict& aux_downset); - /* contains information about fault simulation: ** numFaults_: how many faults occur ** iterationFaults_: vector of timesteps at which processes fail diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/CombiParameters.hpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/CombiParameters.hpp index f2ce2cb29..49c44c975 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/CombiParameters.hpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/CombiParameters.hpp @@ -142,6 +142,7 @@ void CombiParameters::serialize(Archive& ar, const unsigned int version) { ar& levels_; ar& coeffs_; ar& levelsToIDs_; + ar& combiDictionary_; } } diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index bdfde64bc..d7131fa1d 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -698,7 +698,7 @@ void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* reg for (size_t i = 0; i < r->size; ++i) gsl_vector_set(r2, i, std::pow(gsl_vector_get(r, i),2)); - std::cout<<"Stud. residuals:\n"; + std::cout<<"\nStud. residuals:\n"; for(size_t i = 0; i < regressionStats.r->size; ++i) std::cout<data[i]<<" "; @@ -718,19 +718,21 @@ void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* reg for (size_t i = 0; i < r_stand->size; ++i) gsl_vector_set(r_stand, i, fabs(gsl_vector_get(r_stand, i))); - // Largest residual + // Largest standardized residual double r_max = gsl_vector_max(r_stand); size_t r_max_index = gsl_vector_max_index(r_stand); // Threshold for residuals double eps = 2.5; - // Weight for max residual + // Weight for max residual: here we assume that there can + // only be one outlier (the one with the largest residual) gsl_vector_set_all( weights, 1 ); if(r_stand->data[r_max_index] > eps) gsl_vector_set(weights, r_max_index, 0); - // Weights for each residual + // Weights for each residual: here we assume that the can + // be multiple residuals //for(size_t i = 0; i < r_stand->size; ++i){ // if(std::abs(r_stand->data[i]) <= eps) // gsl_vector_set(weights, i, 1); @@ -978,7 +980,7 @@ void ProcessGroupWorker::robustRegressionValues( std::vector &levelsSDC ){ // Number of measurements (beta values) size_t n = subspaceValues_.size(); - // Number of unknowns (values of functions D_i) + // Number of unknowns size_t p = 1; gsl_multifit_robust_workspace *regressionWsp = gsl_multifit_robust_alloc(gsl_multifit_robust_cauchy, n , p ); @@ -1032,7 +1034,7 @@ void ProcessGroupWorker::robustRegressionValues( std::vector &levelsSDC ){ // Now we can check for large residuals if(levelsSDC.size() == 0){ eps = 2.5; - detectOutliers( r_lms->data, levelsSDC, eps, COMPARE_VALUES ); + detectOutliers( r_lms->data, levelsSDC, eps, COMPARE_VALUES, y->data[0] ); } // Write pairs and their beta values to file @@ -1068,7 +1070,7 @@ void ProcessGroupWorker::robustRegressionValues( std::vector &levelsSDC ){ gsl_multifit_robust_free(regressionWsp); } -void ProcessGroupWorker::detectOutliers( double* data, std::vector &levelsSDC, double eps, SDCMethodType method ){ +void ProcessGroupWorker::detectOutliers( double* data, std::vector &levelsSDC, double eps, SDCMethodType method, double y ){ std::map mapSDC; for ( auto t : tasks_ ){ @@ -1076,10 +1078,10 @@ void ProcessGroupWorker::detectOutliers( double* data, std::vector &levelsS mapSDC[key] = 0; } - size_t row = 0; if ( method == COMPARE_PAIRS ) { size_t numSDCPairs = 0; + size_t row = 0; for( auto const &entry : betas_ ){ LevelVector key_t = entry.first.first; LevelVector key_s = entry.first.second; @@ -1101,10 +1103,12 @@ void ProcessGroupWorker::detectOutliers( double* data, std::vector &levelsS } } if ( method == COMPARE_VALUES ) { + size_t row = 0; for( auto const &entry : subspaceValues_ ){ LevelVector key = entry.first; - if ( std::abs(data[row]) > eps ) + if ( std::abs(data[row]) > eps ){ mapSDC[key]++; + } row++; } std::cout<< "SDC grid: " << std::endl; @@ -1115,6 +1119,58 @@ void ProcessGroupWorker::detectOutliers( double* data, std::vector &levelsS levelsSDC.push_back(id); } } + combineValuesFaults( levelsSDC, y ); + } +} + +void ProcessGroupWorker::combineValuesFaults( std::vector& faultsID, double u_robust ) { + + std::map IDsToLevels = combiParameters_.getLevelsDict(); + int dim = static_cast(combiParameters_.getDim()); + int numLevels = int(combiParameters_.getNumLevels()); + + const std::string prob_name = "interpolation based optimization"; + + LevelVectorList lvlminmax; + lvlminmax.push_back(combiParameters_.getLMin()); + lvlminmax.push_back(combiParameters_.getLMax()); + + CombigridDict given_dict = combiParameters_.getCombiDict(); + + + for (auto id : faultsID){ + + LevelVectorList faultLevelVectors; + faultLevelVectors.push_back(IDsToLevels[id]); + LP_OPT_INTERP opt_interp(lvlminmax,dim,GLP_MAX,given_dict,faultLevelVectors); + + opt_interp.init_opti_prob(prob_name); + opt_interp.set_constr_matrix(); + opt_interp.solve_opti_problem(); + + LevelVectorList recomputeLevelVectors; + CombigridDict new_dict = opt_interp.get_results(recomputeLevelVectors); + + CombiDataType u_c = 0.0; + CombiDataType ut_c = 0.0; + CombiDataType rel_err_max = 0.10; + + for( auto const &entry : subspaceValues_){ + LevelVector lvl = entry.first; + u_c += given_dict[lvl]*entry.second; + ut_c += new_dict[lvl]*entry.second; + } + CombiDataType rel_err = std::abs( u_c - ut_c )/u_robust; + std::cout<<"u_c = "< #include @@ -73,7 +74,9 @@ class ProcessGroupWorker { void robustRegressionValues( std::vector &levelsSDC ); - void detectOutliers( double* residuals, std::vector &levelsSDC, double eps, SDCMethodType method ); + void detectOutliers( double* residuals, std::vector &levelsSDC, double eps, SDCMethodType method, double y = 0.0 ); + + void combineValuesFaults( std::vector& faultsID, double u_robust ); private: From 486ef69cb0810f1de769296a94a7ec011d9cff72 Mon Sep 17 00:00:00 2001 From: Alfredo Hinojosa Date: Fri, 16 Dec 2016 12:54:48 +0100 Subject: [PATCH 29/37] Checking only one value --- .../sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index bdfde64bc..2d990f45c 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -727,7 +727,7 @@ void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* reg // Weight for max residual gsl_vector_set_all( weights, 1 ); - if(r_stand->data[r_max_index] > eps) + if(r_max > eps) gsl_vector_set(weights, r_max_index, 0); // Weights for each residual From a49a3ffa8533029776bcb2497f1f3b72af37d643 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Fri, 30 Dec 2016 10:39:51 -0600 Subject: [PATCH 30/37] Fixed function combineValuesFaults for the case when we use many groups, using u_robust for function values not in the group --- .../manager/ProcessGroupWorker.cpp | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index d7131fa1d..fc0926d53 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -1155,10 +1155,16 @@ void ProcessGroupWorker::combineValuesFaults( std::vector& faultsID, double CombiDataType ut_c = 0.0; CombiDataType rel_err_max = 0.10; - for( auto const &entry : subspaceValues_){ +// for( auto const &entry : subspaceValues_){ + for( auto const &entry : given_dict){ LevelVector lvl = entry.first; - u_c += given_dict[lvl]*entry.second; - ut_c += new_dict[lvl]*entry.second; + CombiDataType u_i; + if ( subspaceValues_.find(lvl) == subspaceValues_.end() ) + u_i = u_robust; + else + u_i = subspaceValues_[lvl]; + u_c += given_dict[lvl]*u_i; + ut_c += new_dict[lvl]*u_i; } CombiDataType rel_err = std::abs( u_c - ut_c )/u_robust; std::cout<<"u_c = "< Date: Fri, 30 Dec 2016 17:44:00 +0100 Subject: [PATCH 31/37] Assuming many outliers can occur --- .../manager/ProcessGroupWorker.cpp | 22 +++++++++---------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index 1654feeea..d50251b76 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -719,26 +719,26 @@ void ProcessGroupWorker::computeLMSResiduals( gsl_multifit_robust_workspace* reg gsl_vector_set(r_stand, i, fabs(gsl_vector_get(r_stand, i))); // Largest standardized residual - double r_max = gsl_vector_max(r_stand); - size_t r_max_index = gsl_vector_max_index(r_stand); +// double r_max = gsl_vector_max(r_stand); +// size_t r_max_index = gsl_vector_max_index(r_stand); // Threshold for residuals double eps = 2.5; // Weight for max residual: here we assume that there can // only be one outlier (the one with the largest residual) - gsl_vector_set_all( weights, 1 ); - if(r_max > eps) - gsl_vector_set(weights, r_max_index, 0); +// gsl_vector_set_all( weights, 1 ); +// if(r_max > eps) +// gsl_vector_set(weights, r_max_index, 0); // Weights for each residual: here we assume that the can // be multiple residuals - //for(size_t i = 0; i < r_stand->size; ++i){ - // if(std::abs(r_stand->data[i]) <= eps) - // gsl_vector_set(weights, i, 1); - // else - // gsl_vector_set(weights, i, 0); - //} + for(size_t i = 0; i < r_stand->size; ++i){ + if(std::abs(r_stand->data[i]) <= eps) + gsl_vector_set(weights, i, 1); + else + gsl_vector_set(weights, i, 0); + } // Robust scale estimate double prod; From 1e55b907a0b108ebf9df626b06aafcb23dce93a6 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Fri, 30 Dec 2016 11:16:52 -0600 Subject: [PATCH 32/37] Fixed bug in iteration of faults --- .../sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index fc0926d53..e7513e6d7 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -1138,7 +1138,9 @@ void ProcessGroupWorker::combineValuesFaults( std::vector& faultsID, double CombigridDict given_dict = combiParameters_.getCombiDict(); - for (auto id : faultsID){ + std::vector faultsIDCopy = faultsID; + + for (auto id : faultsIDCopy){ LevelVectorList faultLevelVectors; faultLevelVectors.push_back(IDsToLevels[id]); From 6e97c5120ee956d96aa6648ba5b06f56b0c8fa44 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Tue, 17 Jan 2017 13:15:28 +0100 Subject: [PATCH 33/37] Removed debugging code and documented functions. --- .../manager/ProcessGroupWorker.cpp | 175 +++++------------- .../manager/ProcessGroupWorker.hpp | 19 +- 2 files changed, 61 insertions(+), 133 deletions(-) diff --git a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp index e7513e6d7..602c3f0c7 100644 --- a/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp +++ b/distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp @@ -488,10 +488,9 @@ void ProcessGroupWorker::searchSDC(){ theMPISystem()->getLocalComm() ); std::vector levelsSDC; - compareSolutions( combiParameters_.getDim(), levelsSDC, method ); -// compareSolutions( 2, levelsSDC, method ); + compareSolutions( static_cast(combiParameters_.getDim()), levelsSDC, method ); - int numLocalSDC = levelsSDC.size(); + int numLocalSDC = static_cast(levelsSDC.size()); int numGlobalSDC; MPI_Allreduce( &numLocalSDC, &numGlobalSDC, 1, MPI_INT, MPI_SUM, theMPISystem()->getLocalComm()); if ( numGlobalSDC > 0 ){ @@ -503,7 +502,7 @@ void ProcessGroupWorker::searchSDC(){ } else { MASTER_EXCLUSIVE_SECTION{ levelsSDC.resize(tasks_.size()); - MPI_Recv( &levelsSDC[0], tasks_.size(), MPI_INT, MPI_ANY_SOURCE, infoTag, theMPISystem()->getLocalComm(), &statusSDC ); + MPI_Recv( &levelsSDC[0], static_cast(tasks_.size()), MPI_INT, MPI_ANY_SOURCE, infoTag, theMPISystem()->getLocalComm(), &statusSDC ); MPI_Get_count( &statusSDC, MPI_INT, &numGlobalSDC ); levelsSDC.resize(numGlobalSDC); } @@ -522,15 +521,14 @@ void ProcessGroupWorker::compareSolutions( int numNearestNeighbors, std::vector< delete combinedUniDSG_; // erzeug dsg -// DistributedSparseGridUniform* SDCUniDSG = new DistributedSparseGridUniform( -// combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), -// combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); combinedUniDSG_ = new DistributedSparseGridUniform( combiParameters_.getDim(), combiParameters_.getLMax(), combiParameters_.getLMin(), combiParameters_.getBoundary(), theMPISystem()->getLocalComm()); -DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; -// MPI_File_open(theMPISystem()->getLocalComm(), "out/all-betas-0.txt", MPI_MODE_CREATE|MPI_MODE_RDWR, MPI_INFO_NULL, &betasFile_ ); + // We use this DSG to compare component solutions and search for SDC + DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; + + // We work in the hierarchical basis, so hierarchization is now done here for (auto t : tasks_){ DistributedFullGrid& dfg = t->getDistributedFullGrid(); DistributedHierarchization::hierarchize(dfg); @@ -540,9 +538,8 @@ DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; if ( tasks_.size() == 1 ) return; - /* Generate all pairs of grids */ + // Generate all pairs of grids std::vector> allPairs; - generatePairs( numNearestNeighbors, allPairs ); std::vector allBetas; @@ -550,6 +547,8 @@ DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; std::vector allSubs; std::vector allJs; + // Iterate throuh all pairs of grids. For each pair, we store the gridpoint with + // the largest difference for (auto pair : allPairs){ DistributedFullGrid& dfg_t = pair[0]->getDistributedFullGrid(); @@ -579,7 +578,7 @@ DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; allSubs.push_back( subMax ); allJs.push_back( jMax ); - // Reset sparse grid to zero + // Reset sparse grid to zero before continuing to next pair for (size_t i = 0; i < SDCUniDSG->getNumSubspaces(); ++i){ auto subData = SDCUniDSG->getData(i); auto subSize = SDCUniDSG->getDataSize(i); @@ -588,11 +587,13 @@ DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; } } + // We gather all beta values across processes in a group and store only the largest per pair std::vector allBetasReduced; allBetasReduced.resize(allBetas.size()); CombiCom::BetasReduce( allBetas, allBetasReduced, theMPISystem()->getLocalComm() ); + // Largest beta in a given group -> potential candidate for SDC auto globalBetaMax = std::max_element(allBetasReduced.begin(), allBetasReduced.end(), [](CombiDataType a, CombiDataType b){ return std::abs(a) < std::abs(b); } ); @@ -607,10 +608,11 @@ DistributedSparseGridUniform* SDCUniDSG = combinedUniDSG_; size_t indMax = std::distance(allBetas.begin(), b); LevelVector subMax = allSubs[indMax]; - std::cout<<"Subspace with SDC = "<size; ++i) - std::cout<data[i]<<" "; - gsl_vector_memcpy(r2_sorted, r2); gsl_sort_vector(r2_sorted); + // Median of residuals squared double median_r2 = gsl_stats_median_from_sorted_data(r2_sorted->data, r2_sorted->stride, r2_sorted->size); - std::cout<<"\nMedian r2 = "<size; ++i) - std::cout<data[i]<<" "; } void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vector> &allPairs ){ @@ -784,8 +763,6 @@ void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vectorgetLevelVector()] < numNearestNeighbors - // && numPairs[t->getLevelVector()] < numNearestNeighbors ){ allPairs.push_back({currentPair[1],currentPair[0]}); numPairs[s->getLevelVector()]++; @@ -807,7 +784,6 @@ void ProcessGroupWorker::generatePairs( int numNearestNeighbors, std::vectorgetLevelVector()) < l1(b - s->getLevelVector()); }); - for( size_t t_i = 1; t_i < levels.size(); ++t_i ){ std::vector currentPair; std::vector currentPairBack; @@ -856,10 +832,6 @@ void ProcessGroupWorker::robustRegressionPairs( std::vector &levelsSDC ){ row++; } - std::cout<<"Index Map:"< &levelsSDC ){ gsl_vector *y = gsl_vector_alloc( n ); gsl_vector *c = gsl_vector_alloc( p ); gsl_vector *r_stud = gsl_vector_alloc( n ); - gsl_vector *rt = gsl_vector_alloc( n ); gsl_matrix *cov = gsl_matrix_alloc( p, p ); // Initialize matrix with zeros @@ -896,11 +867,11 @@ void ProcessGroupWorker::robustRegressionPairs( std::vector &levelsSDC ){ CombiDataType beta = entry.second; for( size_t di = 0; di < dim; ++di){ - CombiDataType ht_i = 1.0/pow(2.0,key_t[di]); + CombiDataType ht_i = 1.0/pow(2.0,static_cast(key_t[di])); idx_Di = di*numIndices + indexMap[key_t[di]]; gsl_matrix_set( X, row, idx_Di, pow(ht_i,ex) ); - CombiDataType hs_i = 1.0/pow(2.0,key_s[di]); + CombiDataType hs_i = 1.0/pow(2.0,static_cast(key_s[di])); idx_Di = di*numIndices + indexMap[key_s[di]]; val = gsl_matrix_get( X, row, idx_Di ); gsl_matrix_set( X, row, idx_Di, val - pow(hs_i,ex) ); @@ -914,18 +885,6 @@ void ProcessGroupWorker::robustRegressionPairs( std::vector &levelsSDC ){ gsl_set_error_handler_off(); gsl_multifit_robust( X, y, c, cov, regressionWsp ); - gsl_vector_memcpy(rt,y); - - gsl_blas_dgemv(CblasNoTrans, 1, X, c, 0.0, rt); - - std::cout<<"\nMeasured yi:\n"; - for(size_t i = 0; i < y->size; ++i) - std::cout<data[i]<<" "; - - std::cout<<"\nCalculated yi:\n"; - for(size_t i = 0; i < rt->size; ++i) - std::cout<data[i]<<" "; - gsl_multifit_robust_residuals(X, y, c, r_stud, regressionWsp); // Before checking the residuals, check the data for extremely large values @@ -938,33 +897,17 @@ void ProcessGroupWorker::robustRegressionPairs( std::vector &levelsSDC ){ detectOutliers( r_stud->data, levelsSDC, eps, COMPARE_PAIRS ); } - // Write pairs and their beta values to file - std::stringstream buf; - buf<data[row]; - buf<size << std::endl; - for( size_t i = 0; i < c->size; ++i){ - buf << c->data[i]< &levelsSDC ){ gsl_vector *c = gsl_vector_alloc( p ); gsl_vector *r_lms = gsl_vector_alloc( n ); gsl_vector *r_stud = gsl_vector_alloc( n ); - gsl_vector *rt = gsl_vector_alloc( n ); gsl_matrix *cov = gsl_matrix_alloc( p, p ); // Initialize matrix with ones @@ -1015,21 +957,9 @@ void ProcessGroupWorker::robustRegressionValues( std::vector &levelsSDC ){ gsl_set_error_handler_off(); gsl_multifit_robust( X, y, c, cov, regressionWsp ); - gsl_vector_memcpy(rt,y); - - gsl_blas_dgemv(CblasNoTrans, 1, X, c, 0.0, rt); - - std::cout<<"\nMeasured yi:\n"; - for(size_t i = 0; i < y->size; ++i) - std::cout<data[i]<<" "; - - std::cout<<"\nCalculated yi:\n"; - for(size_t i = 0; i < rt->size; ++i) - std::cout<data[i]<<" "; - gsl_multifit_robust_residuals(X, y, c, r_stud, regressionWsp); - computeLMSResiduals( regressionWsp, regressionWsp->r, r_lms ); + computeStandardizedResiduals( regressionWsp, regressionWsp->r, r_lms ); // Now we can check for large residuals if(levelsSDC.size() == 0){ @@ -1037,32 +967,16 @@ void ProcessGroupWorker::robustRegressionValues( std::vector &levelsSDC ){ detectOutliers( r_lms->data, levelsSDC, eps, COMPARE_VALUES, y->data[0] ); } - // Write pairs and their beta values to file - std::stringstream buf; - buf<data[row]; - buf<size << std::endl; - for( size_t i = 0; i < c->size; ++i){ - buf << c->data[i]< &levelsS mapSDC[key] = 0; } - if ( method == COMPARE_PAIRS ) { size_t numSDCPairs = 0; size_t row = 0; @@ -1119,15 +1032,15 @@ void ProcessGroupWorker::detectOutliers( double* data, std::vector &levelsS levelsSDC.push_back(id); } } - combineValuesFaults( levelsSDC, y ); + // Check for false positives and remove them if it's the case + removeFalsePositives( levelsSDC, y ); } } -void ProcessGroupWorker::combineValuesFaults( std::vector& faultsID, double u_robust ) { +void ProcessGroupWorker::removeFalsePositives( std::vector& faultsID, double u_robust ) { std::map IDsToLevels = combiParameters_.getLevelsDict(); int dim = static_cast(combiParameters_.getDim()); - int numLevels = int(combiParameters_.getNumLevels()); const std::string prob_name = "interpolation based optimization"; @@ -1137,15 +1050,16 @@ void ProcessGroupWorker::combineValuesFaults( std::vector& faultsID, double CombigridDict given_dict = combiParameters_.getCombiDict(); - std::vector faultsIDCopy = faultsID; + // Iterate through tasks currently marked as outliers for (auto id : faultsIDCopy){ LevelVectorList faultLevelVectors; faultLevelVectors.push_back(IDsToLevels[id]); - LP_OPT_INTERP opt_interp(lvlminmax,dim,GLP_MAX,given_dict,faultLevelVectors); + // Find alternative combination coefficients to exclude suspect value + LP_OPT_INTERP opt_interp(lvlminmax,dim,GLP_MAX,given_dict,faultLevelVectors); opt_interp.init_opti_prob(prob_name); opt_interp.set_constr_matrix(); opt_interp.solve_opti_problem(); @@ -1157,7 +1071,7 @@ void ProcessGroupWorker::combineValuesFaults( std::vector& faultsID, double CombiDataType ut_c = 0.0; CombiDataType rel_err_max = 0.10; -// for( auto const &entry : subspaceValues_){ + // Combine values with and without the suspect for( auto const &entry : given_dict){ LevelVector lvl = entry.first; CombiDataType u_i; @@ -1168,17 +1082,16 @@ void ProcessGroupWorker::combineValuesFaults( std::vector& faultsID, double u_c += given_dict[lvl]*u_i; ut_c += new_dict[lvl]*u_i; } + + // Calculate relative error CombiDataType rel_err = std::abs( u_c - ut_c )/u_robust; - std::cout<<"u_c = "< Date: Wed, 5 Apr 2017 13:36:41 +0200 Subject: [PATCH 35/37] distributedcombigrid/src/sgpp/distributedcombigrid/manager/ProcessGroupWorker.cpp --- compile.sh | 1 + 1 file changed, 1 insertion(+) create mode 100644 compile.sh diff --git a/compile.sh b/compile.sh new file mode 100644 index 000000000..9d5829cc4 --- /dev/null +++ b/compile.sh @@ -0,0 +1 @@ +scons -j 4 SG_ALL=0 SG_DISTRIBUTEDCOMBIGRID=1 VERBOSE=1 RUN_BOOST_TESTS=0 RUN_CPPLINT=0 BUILD_STATICLIB=0 CXX=mpic++.mpich OPT=1 From 14de4ddfe87bd093dac1c021296010e38b5b36d8 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Wed, 5 Apr 2017 13:39:22 +0200 Subject: [PATCH 36/37] Added combi_example_soft_faults --- .../HelperFunctions.hpp | 173 ++++++++++ .../combi_example_soft_faults/Makefile.sample | 21 ++ .../combi_example_soft_faults/TaskExample.hpp | 297 ++++++++++++++++++ .../combi_example_soft_faults.cpp | 218 +++++++++++++ .../combi_example_soft_faults/graph.gnu | 18 ++ .../examples/combi_example_soft_faults/run.sh | 22 ++ .../combi_example_soft_faults/settings.ini | 27 ++ 7 files changed, 776 insertions(+) create mode 100644 distributedcombigrid/examples/combi_example_soft_faults/HelperFunctions.hpp create mode 100644 distributedcombigrid/examples/combi_example_soft_faults/Makefile.sample create mode 100644 distributedcombigrid/examples/combi_example_soft_faults/TaskExample.hpp create mode 100644 distributedcombigrid/examples/combi_example_soft_faults/combi_example_soft_faults.cpp create mode 100644 distributedcombigrid/examples/combi_example_soft_faults/graph.gnu create mode 100755 distributedcombigrid/examples/combi_example_soft_faults/run.sh create mode 100644 distributedcombigrid/examples/combi_example_soft_faults/settings.ini diff --git a/distributedcombigrid/examples/combi_example_soft_faults/HelperFunctions.hpp b/distributedcombigrid/examples/combi_example_soft_faults/HelperFunctions.hpp new file mode 100644 index 000000000..0f121f0e9 --- /dev/null +++ b/distributedcombigrid/examples/combi_example_soft_faults/HelperFunctions.hpp @@ -0,0 +1,173 @@ +/* + * HelperFunctions.cpp + * + * Created on: Jan 13, 2016 + * Author: sccs + */ +#ifndef HELPERFUNCTIONS_HPP_ +#define HELPERFUNCTIONS_HPP_ + +#include "mpi.h" +#include + +namespace combigrid { + +void createCommunicators( size_t ngroup, size_t nprocs, int grank, int gsize, + int& key, int& managerID, MPI_Comm& gcomm, MPI_Comm& lcomm){ + /* determine global rank of each process + * the manager process always has the highest rank + * all other processes are worker processes */ + + + /* create a local communicator for each process group + * lcomm is the local communicator of its own process group for each worker process + * for manager, lcomm is a group which contains only manager process and can be ignored + */ + int color = grank / nprocs; + key = grank - color*nprocs; + MPI_Comm_split(MPI_COMM_WORLD, color, key, &lcomm); + + // create global communicator containing manager and pgroup roots + MPI_Group worldGroup; + MPI_Comm_group(MPI_COMM_WORLD, &worldGroup); + + std::vector ranks(ngroup+1); + for (size_t i = 0; i < ngroup; ++i) { + ranks[i] = i*nprocs; + } + ranks.back() = managerID; + + MPI_Group rootGroup; + MPI_Group_incl(worldGroup, (int)ranks.size(), &ranks[0], &rootGroup); + + MPI_Comm_create(MPI_COMM_WORLD, rootGroup, &gcomm); +} + +void readParameterFile(const std::string& fileName, size_t &ngroup, size_t &nprocs, DimType &dim, + LevelVector &lmin, LevelVector &lmax, LevelVector &leval, + IndexVector &p, double &time_step, double &time_start, + double &time_end, size_t &ncombi, FaultsInfo &faultsInfo, bool &plot ){ + + // parser for the ini parameter file + + boost::property_tree::ptree cfg; + boost::property_tree::ini_parser::read_ini(fileName, cfg); + // there are ngroup*nprocs+1 processes needed + ngroup = cfg.get("manager.ngroup"); + nprocs = cfg.get("manager.nprocs"); + + time_step = cfg.get("simulation.time_step"); + time_start = cfg.get("simulation.time_start"); + time_end = cfg.get("simulation.time_end"); + ncombi = cfg.get("simulation.ncombi"); + plot = cfg.get("simulation.plot"); + + dim = cfg.get("ct.dim"); + + lmin.resize(dim); + lmax.resize(dim); + leval.resize(dim); + p.resize(dim); + + cfg.get("ct.lmin") >> lmin; + cfg.get("ct.lmax") >> lmax; + cfg.get("ct.leval") >> leval; + cfg.get("ct.p") >> p; + + faultsInfo.numFaults_ = cfg.get("faults.num_faults"); + + if ( faultsInfo.numFaults_ == 0 ){ + faultsInfo.iterationFaults_.resize(1); + faultsInfo.taskFaults_.resize(1); + } else { + faultsInfo.iterationFaults_.resize(faultsInfo.numFaults_); + faultsInfo.taskFaults_.resize(faultsInfo.numFaults_); + } + + faultsInfo.sdcIndex_.resize(dim); + + cfg.get("faults.iteration_faults") >> faultsInfo.iterationFaults_; + cfg.get("faults.task_faults") >> faultsInfo.taskFaults_; + cfg.get("faults.sdc_index") >> faultsInfo.sdcIndex_; + + int sdcMag; + sdcMag = cfg.get("faults.sdc_mag"); + switch( sdcMag ){ + case 1 : faultsInfo.sdcMag_ = 1e-300; break; + case 2 : faultsInfo.sdcMag_ = pow(10,-0.5); break; + case 3 : faultsInfo.sdcMag_ = 1e150; break; + } + + faultsInfo.sdcMethod_ = cfg.get("method.sdc_method"); + + // parameter for gnuplot + // TODO: use VTK + std::ofstream paramfile; + paramfile.open("param.plt"); + paramfile << "time_step = " << time_step << std::endl; + paramfile << "time_start = " << time_start << std::endl; + paramfile << "time_end = " << time_end << std::endl; + paramfile << "dim = " << dim << std::endl; + paramfile.close(); +} + +// TODO: redundant definition of exact solution, +// use solution from Problem.hh +double exact(std::vector& x, double t) +{ + const int dim = x.size(); + + double exponent = 0; + for (int d = 0; d < dim; d++) { + x[d] -= 0.5 * t; + exponent -= std::pow(x[d]-0.5,2); + } + + return std::exp(exponent*100.0); +} + +void writeSolutionToFile(std::ofstream& outFile, const FullGrid& fg){ + + DimType dim = fg.getDimension(); + if ( dim == 2 ) { + std::vector coords(dim, 0.0); + + for (int i = 0; i < fg.getNrElements(); ++i) { + if (i % fg.length(0) == 0 && i > 0) { + outFile << std::endl; + } + fg.getCoords(i, coords); + outFile << coords[0] << "\t" + << coords[1] << "\t" + << fg.getElementVector()[i] << std::endl; + } + outFile << std::endl << std::endl; + } +} + +void writeErrorToFile(std::ofstream& outFile, FullGrid& fg, + const double &time_step, const double &step){ + + // calculate error + std::vector coords(fg.getDimension(), 0.0); + for (int i = 0; i < fg.getNrElements(); ++i) { + fg.getCoords(i, coords); + fg.getElementVector()[i] -= exact(coords, time_step*step); + } + + // output for approximation error in gnuplot + outFile << time_step*step << "\t" + << fg.getlpNorm(0) << "\t" + << fg.getlpNorm(2) << std::endl; +} + +void checkProcs(const size_t &nprocs, const IndexVector &p){ + IndexType check = 1; + for (auto k : p) + check *= k; + assert(check == IndexType(nprocs)); +} + +} // namespace combigrid + +#endif /* TASKEXAMPLE_HPP_ */ diff --git a/distributedcombigrid/examples/combi_example_soft_faults/Makefile.sample b/distributedcombigrid/examples/combi_example_soft_faults/Makefile.sample new file mode 100644 index 000000000..dfb4c42e2 --- /dev/null +++ b/distributedcombigrid/examples/combi_example_soft_faults/Makefile.sample @@ -0,0 +1,21 @@ +CC=mpic++.mpich +CFLAGS=-std=c++11 -g -fopenmp -Wno-deprecated-declarations -Wno-unused-local-typedefs -Wno-deprecated -Wno-uninitialized -Wall + +SGPP_DIR=path/to/sgpp + +LD_SGPP=-L$(SGPP_DIR)/lib/sgpp + +INC_SGPP=-I$(SGPP_DIR)/distributedcombigrid/src/ + +LDIR=$(LD_SGPP) +INC=$(INC_SGPP) + +LIBS=-lsgppdistributedcombigrid -lboost_serialization -lglpk -lgsl -lcblas + +all: combi_example_soft_faults + +combi_example_soft_faults: combi_example_soft_faults.cpp TaskExample.hpp + $(CC) $(CFLAGS) $(LDIR) $(INC) -o combi_example_soft_faults combi_example_soft_faults.cpp $(LIBS) + +clean: + rm -f *.o out/* combi_example_soft_faults diff --git a/distributedcombigrid/examples/combi_example_soft_faults/TaskExample.hpp b/distributedcombigrid/examples/combi_example_soft_faults/TaskExample.hpp new file mode 100644 index 000000000..68177f8ce --- /dev/null +++ b/distributedcombigrid/examples/combi_example_soft_faults/TaskExample.hpp @@ -0,0 +1,297 @@ +/* + * TaskExample.hpp + * + * Created on: Sep 25, 2015 + * Author: heenemo + */ + +#ifndef TASKEXAMPLE_HPP_ +#define TASKEXAMPLE_HPP_ + +#include "sgpp/distributedcombigrid/fullgrid/DistributedFullGrid.hpp" +#include "sgpp/distributedcombigrid/task/Task.hpp" +#include "sgpp/distributedcombigrid/fault_tolerance/FTUtils.hpp" + +namespace combigrid { + +class TaskExample: public Task { + + public: + /* if the constructor of the base task class is not sufficient we can provide an + * own implementation. here, we add dt, nsteps, p, and faultsInfo as a new parameters. + */ + TaskExample(DimType dim, LevelVector& l, std::vector& boundary, + real coeff, LoadModel* loadModel, real dt, + size_t nsteps, IndexVector p = IndexVector(0), + FaultsInfo faultsInfo = {0,IndexVector(0),IndexVector(0)}) : + Task(dim, l, boundary, coeff, loadModel), dt_(dt), nsteps_( + nsteps), stepsTotal_(0), p_(p), faultsInfo_(faultsInfo), + initialized_(false), combiStep_(0), dfg_(NULL) + { + } + + void init(CommunicatorType lcomm) { +// assert(!initialized_); +// assert(dfg_ == NULL); + + int lrank; + MPI_Comm_rank(lcomm, &lrank); + + /* create distributed full grid. we try to find a balanced ratio between + * the number of grid points and the number of processes per dimension + * by this very simple algorithm. to keep things simple we require powers + * of two for the number of processes here. */ + int np; + MPI_Comm_size(lcomm, &np); + + // check if power of two + if (!((np > 0) && ((np & (~np + 1)) == np))) + assert(false && "number of processes not power of two"); + + DimType dim = this->getDim(); + IndexVector p(dim, 1); + const LevelVector& l = this->getLevelVector(); + + if (p_.size() == 0) { + // compute domain decomposition + IndexType prod_p(1); + + while (prod_p != static_cast(np)) { + DimType dimMaxRatio = 0; + real maxRatio = 0.0; + + for (DimType k = 0; k < dim; ++k) { + real ratio = std::pow(2.0, l[k]) / p[k]; + + if (ratio > maxRatio) { + maxRatio = ratio; + dimMaxRatio = k; + } + } + + p[dimMaxRatio] *= 2; + prod_p = 1; + + for (DimType k = 0; k < dim; ++k) + prod_p *= p[k]; + } + } else { + p = p_; + } + + if (lrank == 0) { + std::cout << "group " << theMPISystem()->getGlobalRank() << " " + << "computing task " << this->getID() << " with l = " + << this->getLevelVector() << " and p = " << p << std::endl; + } + + // create local subgrid on each process + dfg_ = new DistributedFullGrid(dim, l, lcomm, + this->getBoundary(), p); + + /* loop over local subgrid and set initial values */ + std::vector& elements = dfg_->getElementVector(); + + for (size_t i = 0; i < elements.size(); ++i) { + IndexType globalLinearIndex = dfg_->getGlobalLinearIndex(i); + std::vector globalCoords(dim); + dfg_->getCoordsGlobal(globalLinearIndex, globalCoords); + elements[i] = TaskExample::myfunction(globalCoords, 0.0); + } + + initialized_ = true; + } + /* this is were the application code kicks in and all the magic happens. + * do whatever you have to do, but make sure that your application uses + * only lcomm or a subset of it as communicator. + * important: don't forget to set the isFinished flag at the end of the computation. + */ + void run(CommunicatorType lcomm) { + assert(initialized_); + + int lrank, globalRank; + MPI_Comm_rank(lcomm, &lrank); + MPI_Comm_rank(MPI_COMM_WORLD, &globalRank); + + /* pseudo timestepping to demonstrate the behaviour of your typical + * time-dependent simulation problem. */ + std::vector& elements = dfg_->getElementVector(); + + for (size_t step = stepsTotal_; step < stepsTotal_ + nsteps_; ++step) { + real time = (step + 1)* dt_; + + for (size_t i = 0; i < elements.size(); ++i) { + IndexType globalLinearIndex = dfg_->getGlobalLinearIndex(i); + std::vector globalCoords(this->getDim()); + dfg_->getCoordsGlobal(globalLinearIndex, globalCoords); + elements[i] = TaskExample::myfunction(globalCoords, time); + } + } + + + int localRank = theMPISystem()->getLocalRank(); + if ( failNow(localRank) && initialized_ ){ + std::cout<<"Task "<< id_<<" failed at iteration "<getGlobalLinearIndex(faultsInfo_.sdcIndex_); + IndexType sdcLinearIndex = dfg_->getLocalLinearIndex(sdcGLI); + + std::cout<<"Old function value: "<getData()[sdcLinearIndex]<getData()[sdcLinearIndex] *= faultsInfo_.sdcMag_; + std::cout<<"New function value: "<getData()[sdcLinearIndex]< coords; + IndexType globalInd = dfg_->getGlobalLinearIndex(sdcLinearIndex); + dfg_->getGlobalLI(globalInd, sdcSub, inds); + std::cout<<"SDC injected in subspace "<getCoordsLocal( sdcLinearIndex, coords ); + std::cout<<"Coordinate: "; + for (auto coord : coords) + std::cout<setFinished(true); + } + + /* this function evaluates the combination solution on a given full grid. + * here, a full grid representation of your task's solution has to be created + * on the process of lcomm with the rank r. + * typically this would require gathering your (in whatever way) distributed + * solution on one process and then converting it to the full grid representation. + * the DistributedFullGrid class offers a convenient function to do this. + */ + void getFullGrid(FullGrid& fg, RankType r, + CommunicatorType lcomm) { + assert(fg.getLevels() == dfg_->getLevels()); + dfg_->gatherFullGrid(fg, r); + } + + DistributedFullGrid& getDistributedFullGrid() { + return *dfg_; + } + + static real myfunction(std::vector& coords, real t) { + real u = std::cos(M_PI * t); + + for ( size_t d = 0; d < coords.size(); ++d ) + u *= std::cos( 2.0 * M_PI * coords[d] ); + + return u; + + /* + double res = 1.0; + for (size_t i = 0; i < coords.size(); ++i) { + res *= -4.0 * coords[i] * (coords[i] - 1); + } + + + return res; + */ + } + + inline void setStepsTotal( size_t stepsTotal ); + + void setZero(){ + std::vector& data = dfg_->getElementVector(); + + for( size_t i=0; i* dfg_; + + /** + * The serialize function has to be extended by the new member variables. + * However this concerns only member variables that need to be exchanged + * between manager and workers. We do not need to add "local" member variables + * that are only needed on either manager or worker processes. + * For serialization of the parent class members, the class must be + * registered with the BOOST_CLASS_EXPORT macro. + */ + template + void serialize(Archive& ar, const unsigned int version) { + // handles serialization of base class + ar& boost::serialization::base_object(*this); + + // add our new variables + ar& initialized_; + ar& dt_; + ar& nsteps_; + ar& stepsTotal_; + ar& p_; + ar& faultsInfo_; + } + +}; + +inline bool TaskExample::failNow( const int& localRank ){ + if ( faultsInfo_.numFaults_ == 0 ) + return false; + + IndexVector iF = faultsInfo_.iterationFaults_; + IndexVector tF = faultsInfo_.taskFaults_; + IndexVector indF = faultsInfo_.sdcIndex_; + + std::vector::iterator it; + it = std::find(iF.begin(), iF.end(), combiStep_); + IndexType idx = std::distance(iF.begin(),it); + // Check if current iteration is in iterationFaults_ + while (it!=iF.end() ){ + // Check if my task should fail + if( this->getID() == tF[idx] ){ + IndexType GLI = dfg_->getGlobalLinearIndex(indF); + IndexType LLI = dfg_->getLocalLinearIndex(GLI); + if (LLI != -1 ) + return true; + } + it = std::find(++it, iF.end(), combiStep_); + idx = std::distance(iF.begin(),it); + } + return false; +} + +inline void TaskExample::setStepsTotal( size_t stepsTotal ) { + stepsTotal_ = stepsTotal; +} + +} // namespace combigrid + +#endif /* TASKEXAMPLE_HPP_ */ diff --git a/distributedcombigrid/examples/combi_example_soft_faults/combi_example_soft_faults.cpp b/distributedcombigrid/examples/combi_example_soft_faults/combi_example_soft_faults.cpp new file mode 100644 index 000000000..65f6052bb --- /dev/null +++ b/distributedcombigrid/examples/combi_example_soft_faults/combi_example_soft_faults.cpp @@ -0,0 +1,218 @@ +/* + * combi_example.cpp + * + * Created on: Sep 23, 2015 + * Author: heenemo + */ +#include +#include +#include +#include +#include + +// compulsory includes for basic functionality +#include "sgpp/distributedcombigrid/task/Task.hpp" +#include "sgpp/distributedcombigrid/utils/Types.hpp" +#include "sgpp/distributedcombigrid/combischeme/CombiMinMaxScheme.hpp" +#include "sgpp/distributedcombigrid/fullgrid/FullGrid.hpp" +#include "sgpp/distributedcombigrid/loadmodel/LinearLoadModel.hpp" +#include "sgpp/distributedcombigrid/manager/CombiParameters.hpp" +#include "sgpp/distributedcombigrid/manager/ProcessGroupManager.hpp" +#include "sgpp/distributedcombigrid/manager/ProcessGroupWorker.hpp" +#include "sgpp/distributedcombigrid/manager/ProcessManager.hpp" + +// include user specific task. this is the interface to your application +#include "TaskExample.hpp" + +#include "HelperFunctions.hpp" + +using namespace combigrid; + +// this is necessary for correct function of task serialization +BOOST_CLASS_EXPORT(TaskExample) + +void solveProblem(ProcessManager& manager, LevelVector& leval, + std::vector& boundary, double time_step, + int numSteps, std::vector time_steps_combi, + bool plot, int sdcMethod ) +{ + std::ofstream valueFile("out/values.dat"); + + WORLD_MANAGER_EXCLUSIVE_SECTION{ theStatsContainer()->setTimerStart("ct"); } + + int combistep = 0; + std::vector reinitFaultsID, recomputeFaultsID, faultsID; + for (int step = 0; step < numSteps; ++step) { + + if( step == 0 ){ + manager.runfirst(); + } else { + manager.runnext(); + } + + if ( step == time_steps_combi[combistep]){ + + bool success = true; + success = manager.searchSDC( sdcMethod ); + combistep++; + if ( !success ) { + std::cout << "SDC detected at combi iteration " << step << std::endl; + manager.getSDCFaultIDs( faultsID ); + /* call optimization code to find new coefficients */ + const std::string prob_name = "interpolation based optimization"; + + manager.recomputeOptimumCoefficients(prob_name, faultsID, + reinitFaultsID, recomputeFaultsID); + + /* communicate new combination scheme*/ + manager.updateCombiParameters(); + + /* if some tasks have to be recomputed, do so*/ + for ( auto id : recomputeFaultsID ) { + TaskExample* tmp = static_cast(manager.getTask(id)); + tmp->setStepsTotal((combistep-1)*numSteps); + } + manager.recompute(recomputeFaultsID); + } + + + /* combine solution */ + std::cout<<"Combining.."< fg( leval.size(), leval, boundary); + std::cout << "eval solution for plotting" << std::endl; + manager.gridEval(fg); + // output for function values in gnuplot (only in 2D) + writeSolutionToFile(valueFile, fg); + } + + if ( !success ) { + manager.reinit(reinitFaultsID); + for ( auto id : reinitFaultsID ) { + TaskExample* tmp = static_cast(manager.getTask(id)); + tmp->setStepsTotal(combistep*numSteps); + } + manager.restoreCombischeme(); + manager.updateCombiParameters(); + } + } + } + + valueFile.close(); + + /* evaluate solution */ + FullGrid fg_eval( leval.size(), leval, boundary); + manager.gridEval(fg_eval); + std::string filename( "solution.fg" ); + fg_eval.save( filename ); + + std::cout << "exiting" << std::endl; + manager.exit(); +} + +int main(int argc, char** argv) { + MPI_Init(&argc, &argv); + + /* number of process groups and number of processes per group */ + size_t ngroup, nprocs; + + DimType dim; + LevelVector lmin, lmax, leval; + IndexVector p; + size_t ncombi; + int numSteps; + std::vector time_steps_combi; + FaultsInfo faultsInfo; + + double time_step, time_start, time_end; + + bool plot; + + /* read parameter file (ctparam) */ + const std::string fileName = "settings.ini"; + readParameterFile(fileName, ngroup, nprocs, dim, lmin, lmax, + leval, p, time_step, time_start, time_end, ncombi, + faultsInfo, plot); + + numSteps = (time_end-time_start) / time_step; + for (size_t i = 0; i < ncombi; ++i) + time_steps_combi.push_back( numSteps - i*numSteps/ncombi - 1 ); + std::reverse(time_steps_combi.begin(), time_steps_combi.end()); + + // todo: read in boundary vector from ctparam + std::vector boundary(dim, true); + + theMPISystem()->init( ngroup, nprocs ); + + // ProcessGroupManager and ProcessManager Code + if (theMPISystem()->getWorldRank() == theMPISystem()->getManagerRankWorld()) { + + /* create an abstraction of the process groups for the manager's view + * a pgroup is identified by the ID in gcomm + */ + ProcessGroupManagerContainer pgroups; + for (size_t i=0; i ( pgroupRootID ) + ); + } + + // ProcessManager Code + // create DuneTasks + LoadModel* loadmodel = new LinearLoadModel(); + + CombiMinMaxScheme combischeme(dim, lmin, lmax); + combischeme.createAdaptiveCombischeme(); + combischeme.makeFaultTolerant(); + std::vector levels = combischeme.getCombiSpaces(); + std::vector coeffs = combischeme.getCoeffs(); + + TaskContainer tasks; + std::vector taskIDs; + for (uint i = 0; i < levels.size(); ++i) { + Task* t = new TaskExample(dim, levels[i], boundary, coeffs[i], + loadmodel, time_step, numSteps, p, faultsInfo); + tasks.push_back(t); + taskIDs.push_back( t->getID() ); + } + + // output of combination setup + std::cout << "lmin = " << lmin << std::endl; + std::cout << "lmax = " << lmax << std::endl; + std::cout << "CombiScheme: " << std::endl; + std::cout << combischeme << std::endl; + + // create combiparamters + CombiParameters params(dim, lmin, lmax, boundary, levels, coeffs, taskIDs); + + // create Manager with process groups + ProcessManager manager(pgroups, tasks, params); + + // combiparameters need to be set before starting the computation + manager.updateCombiParameters(); + + // start calculation + solveProblem(manager, leval, boundary, time_step, numSteps, time_steps_combi, plot, faultsInfo.sdcMethod_ ); + } + + // worker code + else { + // create abstraction of the process group from the worker's view + ProcessGroupWorker pgroup; + + // wait for instructions from manager + SignalType signal = -1; + + while (signal != EXIT) + signal = pgroup.wait(); + } + + MPI_Finalize(); + + return 0; +} diff --git a/distributedcombigrid/examples/combi_example_soft_faults/graph.gnu b/distributedcombigrid/examples/combi_example_soft_faults/graph.gnu new file mode 100644 index 000000000..353951ccf --- /dev/null +++ b/distributedcombigrid/examples/combi_example_soft_faults/graph.gnu @@ -0,0 +1,18 @@ +#!/bin/gnuplot + +#set terminal pngcairo size 800,600 enhanced font "Verdana,10" +set mouse +set xrange [0:1] +set yrange [0:1] +set zrange [-2:2] +set cbrange [-1:1] +set xlabel "x" +set ylabel "y" +set style line 1 lt -1 lw 0.3 +set pm3d hidden3d 1 +do for [i = 1:100] { + splot "out/values.dat" index (i-1) using 1:2:3 with pm3d + pause 0.02 +} +reread +pause mouse keypress diff --git a/distributedcombigrid/examples/combi_example_soft_faults/run.sh b/distributedcombigrid/examples/combi_example_soft_faults/run.sh new file mode 100755 index 000000000..fee139dc1 --- /dev/null +++ b/distributedcombigrid/examples/combi_example_soft_faults/run.sh @@ -0,0 +1,22 @@ +#!/bin/bash +read_properties () +{ + file="$1" + while IFS=" = " read -r key value; + do + case "$key" in + "ngroup") + ngroup=$value;; + "nprocs") + nprocs=$value;; + esac + done < "$file" +} + +ngroup=0 +nprocs=0 +SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )" +read_properties "$SCRIPT_DIR/settings.ini" +mpiprocs=$((ngroup*nprocs+1)) + +mpirun.mpich -n "$mpiprocs" ./combi_example_soft_faults diff --git a/distributedcombigrid/examples/combi_example_soft_faults/settings.ini b/distributedcombigrid/examples/combi_example_soft_faults/settings.ini new file mode 100644 index 000000000..e4cdf384d --- /dev/null +++ b/distributedcombigrid/examples/combi_example_soft_faults/settings.ini @@ -0,0 +1,27 @@ +[manager] +ngroup = 1 +nprocs = 4 + +[simulation] +time_step = 0.001 +time_start = 0.0 +time_end = 0.05 +ncombi = 50 +plot = 1 + +[ct] +dim = 2 +lmin = 3 3 +lmax = 7 7 +leval = 5 5 +p = 2 2 + +[faults] +num_faults = 1 +iteration_faults = 3 +task_faults = 3 +sdc_index = 32 8 +sdc_mag = 2 + +[method] +sdc_method = 2 From bcf9de5b4163c2a7a21137660ad9d14f91e37e03 Mon Sep 17 00:00:00 2001 From: hinojosa Date: Wed, 5 Apr 2017 14:01:05 +0200 Subject: [PATCH 37/37] Added GSL 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