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README.txt
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README.txt
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SkelCL is a multi-GPU skeleton library based on OpenCL. It is actively
developed at the University of Münster, Germany, by Michel Steuwer and
others. For comments or questions feel free to contact the author:
Most of the functionality is explained in detail in the following
peer-reviewed publications:
- S. Breuer, M. Steuwer, and S. Gorlatch: `Extending the SkelCL Skeleton
Library for Stencil Computations on Multi-GPU Systems' in Proceedings of the
1st International Workshop on High-Performance Stencil Computations
(HiStencils), 2014, Vienna, Austria
- M. Steuwer, M. Friese, S. Albers, and S. Gorlatch: `Introducing and
Implementing the Allpairs Skeleton for Programming Multi-GPU Systems' in
International Journal of Parallel Programming, 2013, Springer
- M. Steuwer and S. Gorlatch: `High-Level Programming for Medical Imaging on
Multi-GPU Systems using the SkelCL Library' in Procedia Computer Science,
Volumne 18, Pages 749-758, 2013, Elsevier
- M. Steuwer and S. Gorlatch: `SkelCL: Enhancing OpenCL for High-Level
Programming of Multi-GPU Systems' in Parallel Computing Technologies (PaCT),
2013, St. Petersburg, Russia
- P. Kegel, M. Steuwer, and S. Gorlatch: `Uniform High-Level Programming of
Many-Core and Multi-GPU Systems' in Transition of HPC Towards Exascale
Computing, 2013, IOS Press
- M. Steuwer, P. Kegel, and S. Gorlatch Sergei: `A High-Level Programming
Approach for Distributed Systems with Accelerators' in New Trends in Software
Methodologies, Tools and Techniques - Proceedings of the Eleventh SoMeT '12,
2012, Genoa, Italy
- M. Steuwer, S. Gorlatch, S. Buß, and S. Breuer: `Using the SkelCL Library for
High-Level GPU Programming of 2D Applications' in Euro-Par 2012: Parallel
Processing Workshops, 2012, Rhodes Island, Greece
- M. Steuwer, P. Kegel, and S. Gorlatch: `Towards High-Level Programming of
Multi-GPU Systems Using the SkelCL Library' in 2012 IEEE International
Symposium on Parallel and Distributed Processing Workshops and Phd Forum
(IPDPSW), 2012, Shanghai, China
- C. Kessler, S. Gorlatch, J. Emmyren, U. Dastgeer, M. Steuwer and P. Kegel:
`Skeleton Programming for Portable Many-Core Computing' in Programming
Multi-core and Many-core Computing Systems, Wiley (to appear)
- M. Steuwer, P. Kegel, and S. Gorlatch: `SkelCL - A Portable Skeleton Library
for High-Level GPU Programming' in 2011 IEEE International Symposium on
Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011,
Anchorage, US
Three key abstractions are made in this library:
1) memory management is simplified using parallel container data types
(vectors and matrices);
2) an automatic data (re)distribution mechanism allows for implicit data
movements between GPUs and ensures scalability when using multiple GPUs;
3) computations are conveniently expressed using parallel algorithmic patterns
(a.k.a. algorithmic skeletons).
For more information visit <http://skelcl.uni-muenster.de> or contact the
main developer: [email protected]