{compiler}[system/system] Add CodePlay CUDA SYCL plug-in variants for oneAPI 2023.0.0 and newer #21582

Thyre · 2024-10-07T16:12:21Z

CodePlay offers NVIDIA plug-ins for the Intel oneAPI compilers starting with oneAPI 2023.0.0.
Add separate EasyConfigs using these plug-ins by creating a bundle of the basic oneAPI compilers and the plug-in.
Since the plug-in needs to be installed inside the actual oneAPI installation, do not just use the oneAPI installation.

Requires:

Enhance generic Bundle easyblock to transfer module requirements of components easybuild-easyblocks#3472.
Fix oneAPI sanity check for ifort removal in 2025.0 and newer easybuild-easyblocks#3495 for oneAPI 2025.0.0
Reintroduce #3472 (transfer Bundle requirements to module) but do not create logfile in components easybuild-easyblocks#3509
- Requires EasyBlock: Allow to pass logfile from other EasyBlock easybuild-framework#4707

Thyre · 2024-10-07T16:14:04Z

Test report by @Thyre
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472
FAILED
Build succeeded for 0 out of 1 (1 easyconfigs in total)
Linux - Linux EndeavourOS UNKNOWN, x86_64, AMD Ryzen 7 7800X3D 8-Core Processor, 1 x NVIDIA NVIDIA GeForce RTX 3070, 560.35.03, Python 3.12.7
See https://gist.github.com/Thyre/11de3dc3a2eb33afafe083a55372f43c for a full test report.

Failed due to missed EULA acceptance.

Thyre · 2024-10-07T16:15:25Z

Test report by @Thyre
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
Linux - Linux EndeavourOS UNKNOWN, x86_64, AMD Ryzen 7 7800X3D 8-Core Processor, 1 x NVIDIA NVIDIA GeForce RTX 3070, 560.35.03, Python 3.12.7
See https://gist.github.com/Thyre/0146f18904983ffa4fcddfa38776c688 for a full test report.

Thyre · 2024-10-07T16:27:05Z

Test report by @Thyre
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
datenlager - Linux Ubuntu 24.04, x86_64, AMD Ryzen 7 3700X 8-Core Processor, Python 3.12.3
See https://gist.github.com/Thyre/aea1a28c0aadc46fb6719b8197a19390 for a full test report.

SebastianAchilles · 2024-10-07T19:33:41Z

Test report by @SebastianAchilles
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
skl-rockylinux-810 - Linux Rocky Linux 8.10, x86_64, Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz (skylake), 1 x NVIDIA NVIDIA RTX A4000, 555.42.06, Python 3.6.8
See https://gist.github.com/SebastianAchilles/f392987fde98289c1f925ded8e39d3bb for a full test report.

Thyre · 2024-10-11T06:03:34Z

Test report by @Thyre
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
Linux - Linux EndeavourOS UNKNOWN, x86_64, AMD Ryzen 7 7800X3D 8-Core Processor, 1 x NVIDIA NVIDIA GeForce RTX 3070, 560.35.03, Python 3.12.7
See https://gist.github.com/Thyre/74a1fc0bc6444b099ec82a9ddab94ce7 for a full test report.

SebastianAchilles · 2024-10-24T08:52:01Z

@boegelbot please test @ jsc-zen3-a100
CORE_CNT=16
EB_ARGS='--include-easyblocks-from-pr 3472'

boegelbot · 2024-10-24T09:00:11Z

@SebastianAchilles: Request for testing this PR well received on jsczen3l1.int.jsc-zen3.fz-juelich.de

PR test command 'if [[ develop != 'develop' ]]; then EB_BRANCH=develop ./easybuild_develop.sh 2> /dev/null 1>&2; EB_PREFIX=/home/boegelbot/easybuild/develop source init_env_easybuild_develop.sh; fi; EB_PR=21582 EB_ARGS="--include-easyblocks-from-pr 3472" EB_CONTAINER= EB_REPO=easybuild-easyconfigs EB_BRANCH=develop /opt/software/slurm/bin/sbatch --job-name test_PR_21582 --ntasks="16" --partition=jsczen3g --gres=gpu:1 ~/boegelbot/eb_from_pr_upload_jsc-zen3.sh' executed!

exit code: 0
output:

Submitted batch job 5151

Test results coming soon (I hope)...

- notification for comment with ID 2434678649 processed

Message to humans: this is just bookkeeping information for me,
it is of no use to you (unless you think I have a bug, which I don't).

boegelbot · 2024-10-24T09:04:04Z

Test report by @boegelbot
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
jsczen3g1.int.jsc-zen3.fz-juelich.de - Linux Rocky Linux 9.4, x86_64, AMD EPYC-Milan Processor (zen3), 1 x NVIDIA NVIDIA A100 80GB PCIe, 555.42.06, Python 3.9.18
See https://gist.github.com/boegelbot/1d123551a5674f7b7b4e9379e945dda2 for a full test report.

Thyre · 2024-10-26T18:54:44Z

Test report by @Thyre
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
datenlager - Linux Ubuntu 24.04, x86_64, AMD Ryzen 7 3700X 8-Core Processor, Python 3.12.3
See https://gist.github.com/Thyre/dbb641d35fc23216e29143b5841fdf4d for a full test report.

Thyre · 2024-10-27T14:59:53Z

Test report by @Thyre
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
jrlogin02.jureca - Linux Rocky Linux 9.4, x86_64, AMD EPYC 7742 64-Core Processor, 2 x NVIDIA Quadro RTX 8000, 560.35.03, Python 3.9.18
See https://gist.github.com/Thyre/13624b3cbaa4390a914860f026ba6b49 for a full test report.

Signed-off-by: Jan André Reuter <[email protected]>

Thyre · 2024-10-31T20:15:01Z

Added additional EasyConfigs for all intel-compilers versions we have starting with 2023.0.0.
Since 2023.1.0 needs GCC 12.3.0 and I haven't built that yet, testing will take just a bit longer.

The plug-in for oneAPI 2025.0.0 has seen some changes in the shared-library name and download path. Additionally, I do not see any headers in the extracted files anymore. Therefore, I removed it for this version.

Thyre · 2024-10-31T21:06:49Z

Test report by @Thyre
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472, easybuilders/easybuild-easyblocks#3495
SUCCESS
Build succeeded for 5 out of 5 (5 easyconfigs in total)
Linux - Linux EndeavourOS UNKNOWN, x86_64, AMD Ryzen 7 7800X3D 8-Core Processor, 1 x NVIDIA NVIDIA GeForce RTX 3070, 565.57.01, Python 3.12.7
See https://gist.github.com/Thyre/0d371e210e63868625cdda8dae65f136 for a full test report.

Add Intel oneAPI 2024.2.0 compilers with CodePlay SYCL support for NVIDIA GPUs. Signed-off-by: Jan André Reuter <[email protected]>

Signed-off-by: Jan André Reuter <[email protected]>

Thyre · 2024-10-31T21:19:39Z

Test report by @Thyre
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472, easybuilders/easybuild-easyblocks#3495
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
jrlogin02.jureca - Linux Rocky Linux 9.4, x86_64, AMD EPYC 7742 64-Core Processor, 2 x NVIDIA Quadro RTX 8000, 560.35.03, Python 3.9.18
See https://gist.github.com/Thyre/fb7f77092fdecdba796ea361714ca986 for a full test report.

Thyre · 2024-10-31T21:39:25Z

Test report by @Thyre
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472, easybuilders/easybuild-easyblocks#3495
SUCCESS
Build succeeded for 6 out of 6 (5 easyconfigs in total)
Linux - Linux EndeavourOS UNKNOWN, x86_64, AMD Ryzen 7 7800X3D 8-Core Processor, 1 x NVIDIA NVIDIA GeForce RTX 3070, 565.57.01, Python 3.12.7
See https://gist.github.com/Thyre/91d1fc94d6b2561c4a0d7259f4da15b3 for a full test report.

Thyre · 2024-11-01T11:26:41Z

Here are some testing results with all the versions. I used the sample application described for oneAPI 2023.0.0 here:

Code:

Click to open

#include <sycl/sycl.hpp>

int main() {
  // Creating buffer of 4 ints to be used inside the kernel code
  sycl::buffer<sycl::cl_int, 1> Buffer(4);

  // Creating SYCL queue
  sycl::queue Queue;

  // Size of index space for kernel
  sycl::range<1> NumOfWorkItems{Buffer.size()};

  // Submitting command group(work) to queue
  Queue.submit([&](sycl::handler &cgh) {
    // Getting write only access to the buffer on a device
    auto Accessor = Buffer.get_access<sycl::access::mode::write>(cgh);
    // Executing kernel
    cgh.parallel_for<class FillBuffer>(
        NumOfWorkItems, [=](sycl::id<1> WIid) {
          // Fill buffer with indexes
          Accessor[WIid] = (sycl::cl_int)WIid.get(0);
        });
  });

  // Getting read only access to the buffer on the host.
  // Implicit barrier waiting for queue to complete the work.
  const auto HostAccessor = Buffer.get_access<sycl::access::mode::read>();

  // Check the results
  bool MismatchFound = false;
  for (size_t I = 0; I < Buffer.size(); ++I) {
    if (HostAccessor[I] != I) {
      std::cout << "The result is incorrect for element: " << I
                << " , expected: " << I << " , got: " << HostAccessor[I]
                << std::endl;
      MismatchFound = true;
    }
  }

  if (!MismatchFound) {
    std::cout << "The results are correct!" << std::endl;
  }

  return MismatchFound;
}

For comparison, this is the output when a oneAPI version without this plug-in is used:

intel-compilers/2024.2.0 (without plug-in)

$ icpx -fsycl -fsycl-targets=nvptx64-nvidia-cuda simple-sycl-app.cpp -o simple-sycl-app
[... several deprecation warnings ...]
$ ONEAPI_DEVICE_SELECTOR="cuda:*" SYCL_UR_TRACE=1 ./simple-sycl-app           
terminate called after throwing an instance of 'sycl::_V1::runtime_error'
  what():  No device of requested type available. Please check https://software.intel.com/content/www/us/en/develop/articles/intel-oneapi-dpcpp-system-requirements.html -1 (PI_ERROR_DEVICE_NOT_FOUND)
[1]    10673 IOT instruction (core dumped)  ONEAPI_DEVICE_SELECTOR="cuda:*" SYCL_UR_TRACE=1 ./simple-sycl-app
SYCL_UR_TRACE=1 sycl-ls    
[opencl:cpu][opencl:0] Intel(R) OpenCL, AMD Ryzen 7 7800X3D 8-Core Processor            OpenCL 3.0 (Build 0) [2024.18.6.0.02_160000]

intel-compilers/2023.0.0-CUDA-11.7.0

For oneAPI 2023.0.0, one may need to use the internal clang++ instead of icpx, which is described here.

$  /data/EasyBuild-develop/software/intel-compilers/2023.0.0-CUDA-11.7.0/compiler/2023.0.0/linux/bin-llvm/clang++ -fsycl -fsycl-targets=nvptx64-nvidia-cuda simple-sycl-app.cpp -o simple-sycl-app
clang++: warning: CUDA version is newer than the latest supported version 11.5 [-Wunknown-cuda-version]
$ SYCL_DEVICE_FILTER=cuda SYCL_PI_TRACE=1 ./simple-sycl-app
SYCL_PI_TRACE[basic]: Plugin found and successfully loaded: libpi_cuda.so [ PluginVersion: 11.15.1 ]
SYCL_PI_TRACE[all]: Selected device: -> final score = 1500
SYCL_PI_TRACE[all]:   platform: NVIDIA CUDA BACKEND
SYCL_PI_TRACE[all]:   device: NVIDIA GeForce RTX 3070
The results are correct!
$ SYCL_UR_TRACE=1 sycl-ls                         
[opencl:cpu:0] Intel(R) OpenCL, AMD Ryzen 7 7800X3D 8-Core Processor            3.0 [2022.15.12.0.01_081451]
[ext_oneapi_cuda:gpu:0] NVIDIA CUDA BACKEND, NVIDIA GeForce RTX 3070 0.0 [CUDA 12.7]

intel-compilers/2023.1.0-CUDA-12.1.1

$ icpx -fsycl -fsycl-targets=nvptx64-nvidia-cuda simple-sycl-app.cpp -o simple-sycl-app
icpx: warning: CUDA version is newer than the latest partially supported version 11.8 [-Wunknown-cuda-version]
$ SYCL_DEVICE_FILTER=cuda SYCL_PI_TRACE=1 ./simple-sycl-app

WARNING: The enviroment variable SYCL_DEVICE_FILTER is deprecated. Please use ONEAPI_DEVICE_SELECTOR instead.
For more details, please refer to:
https://github.com/intel/llvm/blob/sycl/sycl/doc/EnvironmentVariables.md#oneapi_device_selector

SYCL_PI_TRACE[basic]: Plugin found and successfully loaded: libpi_cuda.so [ PluginVersion: 12.21.1 ]
SYCL_PI_TRACE[all]: Requested device_type: info::device_type::automatic
SYCL_PI_TRACE[all]: Requested device_type: info::device_type::automatic
SYCL_PI_TRACE[all]: Selected device: -> final score = 1500
SYCL_PI_TRACE[all]:   platform: NVIDIA CUDA BACKEND
SYCL_PI_TRACE[all]:   device: Quadro RTX 8000
The results are correct!
$ SYCL_UR_TRACE=1 sycl-ls
[opencl:cpu:0] Intel(R) OpenCL, AMD EPYC 7742 64-Core Processor                 3.0 [2023.15.3.0.20_160000]
[ext_oneapi_cuda:gpu:0] NVIDIA CUDA BACKEND, Quadro RTX 8000 0.0 [CUDA 12.6]
[ext_oneapi_cuda:gpu:1] NVIDIA CUDA BACKEND, Quadro RTX 8000 0.0 [CUDA 12.6]

intel-compilers/2023.2.1-CUDA-12.2.2

$ icpx -fsycl -fsycl-targets=nvptx64-nvidia-cuda simple-sycl-app.cpp -o simple-sycl-app
[... several deprecation warnings ...]
$ SYCL_DEVICE_FILTER=cuda SYCL_PI_TRACE=1 ./simple-sycl-app                            

WARNING: The enviroment variable SYCL_DEVICE_FILTER is deprecated. Please use ONEAPI_DEVICE_SELECTOR instead.
For more details, please refer to:
https://github.com/intel/llvm/blob/sycl/sycl/doc/EnvironmentVariables.md#oneapi_device_selector

SYCL_PI_TRACE[basic]: Plugin found and successfully loaded: libpi_cuda.so [ PluginVersion: 12.27.1 ]
SYCL_PI_TRACE[all]: Requested device_type: info::device_type::automatic
SYCL_PI_TRACE[all]: Selected device: -> final score = 1500
SYCL_PI_TRACE[all]:   platform: NVIDIA CUDA BACKEND
SYCL_PI_TRACE[all]:   device: NVIDIA GeForce RTX 3070
The results are correct!
$ SYCL_UR_TRACE=1 sycl-ls                         
[opencl:cpu:0] Intel(R) OpenCL, AMD Ryzen 7 7800X3D 8-Core Processor            3.0 [2023.16.7.0.21_160000]
[ext_oneapi_cuda:gpu:0] NVIDIA CUDA BACKEND, NVIDIA GeForce RTX 3070 8.8 [CUDA 12.7]

intel-compilers/2024.0.0-CUDA-12.3.0

$ icpx -fsycl -fsycl-targets=nvptx64-nvidia-cuda simple-sycl-app.cpp -o simple-sycl-app
[... several deprecation warnings ...]
$ SYCL_DEVICE_FILTER=cuda SYCL_PI_TRACE=1 ./simple-sycl-app                            

WARNING: The enviroment variable SYCL_DEVICE_FILTER is deprecated. Please use ONEAPI_DEVICE_SELECTOR instead.
For more details, please refer to:
https://github.com/intel/llvm/blob/sycl/sycl/doc/EnvironmentVariables.md#oneapi_device_selector

SYCL_PI_TRACE[basic]: Plugin found and successfully loaded: libpi_cuda.so [ PluginVersion: 14.38.1 ]
SYCL_PI_TRACE[basic]: Plugin found and successfully loaded: libpi_unified_runtime.so [ PluginVersion: 14.37.1 ]
SYCL_PI_TRACE[all]: Requested device_type: info::device_type::automatic
SYCL_PI_TRACE[all]: Selected device: -> final score = 1500
SYCL_PI_TRACE[all]:   platform: NVIDIA CUDA BACKEND
SYCL_PI_TRACE[all]:   device: NVIDIA GeForce RTX 3070
The results are correct!
$ SYCL_UR_TRACE=1 sycl-ls                         
[opencl:cpu:0] Intel(R) OpenCL, AMD Ryzen 7 7800X3D 8-Core Processor            OpenCL 3.0 (Build 0) [2023.16.10.0.17_160000]
[ext_oneapi_cuda:gpu:0] NVIDIA CUDA BACKEND, NVIDIA GeForce RTX 3070 8.6 [CUDA 12.7]

intel-compilers/2024.2.0-CUDA-12.5.0

$ icpx -fsycl -fsycl-targets=nvptx64-nvidia-cuda simple-sycl-app.cpp -o simple-sycl-app
[... several deprecation warnings ...]
$ SYCL_DEVICE_FILTER=cuda SYCL_PI_TRACE=1 ./simple-sycl-app

WARNING: The enviroment variable SYCL_DEVICE_FILTER is deprecated. Please use ONEAPI_DEVICE_SELECTOR instead.
For more details, please refer to:
https://github.com/intel/llvm/blob/sycl/sycl/doc/EnvironmentVariables.md#oneapi_device_selector

SYCL_PI_TRACE[basic]: Plugin found and successfully loaded: libpi_cuda.so [ PluginVersion: 15.49.1 ]
SYCL_PI_TRACE[basic]: Plugin found and successfully loaded: libpi_unified_runtime.so [ PluginVersion: 15.47.1 ]
SYCL_PI_TRACE[all]: Requested device_type: info::device_type::automatic
SYCL_PI_TRACE[all]: Selected device: -> final score = 1500
SYCL_PI_TRACE[all]:   platform: NVIDIA CUDA BACKEND
SYCL_PI_TRACE[all]:   device: NVIDIA GeForce RTX 3070
The results are correct!
$ SYCL_UR_TRACE=1 sycl-ls                         
[opencl:cpu][opencl:0] Intel(R) OpenCL, AMD Ryzen 7 7800X3D 8-Core Processor            OpenCL 3.0 (Build 0) [2024.18.6.0.02_160000]
[cuda:gpu][cuda:0] NVIDIA CUDA BACKEND, NVIDIA GeForce RTX 3070 8.6 [CUDA 12.7]

intel-compilers/2025.0.0-CUDA-12.6.0

$ icpx -fsycl -fsycl-targets=nvptx64-nvidia-cuda simple-sycl-app.cpp -o simple-sycl-app
[... several deprecation warnings ...]
$ ONEAPI_DEVICE_SELECTOR="cuda:*" SYCL_UR_TRACE=1 ./simple-sycl-app
<LOADER>[INFO]: loaded adapter 0x0xfe7ec00 (libur_adapter_cuda.so.0)
SYCL_UR_TRACE: Requested device_type: info::device_type::automatic
SYCL_UR_TRACE: Selected device: -> final score = 1500
SYCL_UR_TRACE:   platform: NVIDIA CUDA BACKEND
SYCL_UR_TRACE:   device: NVIDIA GeForce RTX 3070
The results are correct!
$ SYCL_UR_TRACE=1 sycl-ls
<LOADER>[INFO]: failed to load adapter 'libur_adapter_level_zero.so.0' with error: libumf.so.0: cannot open shared object file: No such file or directory
<LOADER>[INFO]: failed to load adapter '/data/EasyBuild-develop/software/intel-compilers/2025.0.0-CUDA-12.6.0/compiler/2025.0/lib/libur_adapter_level_zero.so.0' with error: libumf.so.0: cannot open shared object file: No such file or directory
<LOADER>[INFO]: failed to load adapter 'libur_adapter_opencl.so.0' with error: libumf.so.0: cannot open shared object file: No such file or directory
<LOADER>[INFO]: failed to load adapter '/data/EasyBuild-develop/software/intel-compilers/2025.0.0-CUDA-12.6.0/compiler/2025.0/lib/libur_adapter_opencl.so.0' with error: libumf.so.0: cannot open shared object file: No such file or directory
<LOADER>[INFO]: loaded adapter 0x0x5757f9e7d7a0 (libur_adapter_cuda.so.0)
<LOADER>[INFO]: failed to load adapter 'libur_adapter_hip.so.0' with error: libur_adapter_hip.so.0: cannot open shared object file: No such file or directory
<LOADER>[INFO]: failed to load adapter '/data/EasyBuild-develop/software/intel-compilers/2025.0.0-CUDA-12.6.0/compiler/2025.0/lib/libur_adapter_hip.so.0' with error: /data/EasyBuild-develop/software/intel-compilers/2025.0.0-CUDA-12.6.0/compiler/2025.0/lib/libur_adapter_hip.so.0: cannot open shared object file: No such file or directory
<LOADER>[INFO]: failed to load adapter 'libur_adapter_native_cpu.so.0' with error: libur_adapter_native_cpu.so.0: cannot open shared object file: No such file or directory
<LOADER>[INFO]: failed to load adapter '/data/EasyBuild-develop/software/intel-compilers/2025.0.0-CUDA-12.6.0/compiler/2025.0/lib/libur_adapter_native_cpu.so.0' with error: /data/EasyBuild-develop/software/intel-compilers/2025.0.0-CUDA-12.6.0/compiler/2025.0/lib/libur_adapter_native_cpu.so.0: cannot open shared object file: No such file or directory
[cuda:gpu][cuda:0] NVIDIA CUDA BACKEND, NVIDIA GeForce RTX 3070 8.6 [CUDA 12.7]

Thyre · 2024-11-05T10:45:59Z

Test report by @Thyre
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472, easybuilders/easybuild-easyblocks#3495
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
jrlogin10.jureca - Linux Rocky Linux 9.4, x86_64, AMD EPYC 7742 64-Core Processor, 2 x NVIDIA Quadro RTX 8000, 560.35.03, Python 3.9.18
See https://gist.github.com/Thyre/6df91936a9367ff339a5cc4e6cb8547f for a full test report.

Thyre · 2024-11-08T08:17:55Z

@boegelbot please test @ jsc-zen3-a100
CORE_CNT=16
EB_ARGS='--include-easyblocks-from-pr 3472'

boegelbot · 2024-11-08T08:20:10Z

@Thyre: Request for testing this PR well received on jsczen3l1.int.jsc-zen3.fz-juelich.de

PR test command 'if [[ develop != 'develop' ]]; then EB_BRANCH=develop ./easybuild_develop.sh 2> /dev/null 1>&2; EB_PREFIX=/home/boegelbot/easybuild/develop source init_env_easybuild_develop.sh; fi; EB_PR=21582 EB_ARGS="--include-easyblocks-from-pr 3472" EB_CONTAINER= EB_REPO=easybuild-easyconfigs EB_BRANCH=develop /opt/software/slurm/bin/sbatch --job-name test_PR_21582 --ntasks="16" --partition=jsczen3g --gres=gpu:1 ~/boegelbot/eb_from_pr_upload_jsc-zen3.sh' executed!

exit code: 0
output:

Submitted batch job 5222

Test results coming soon (I hope)...

- notification for comment with ID 2464077770 processed

Message to humans: this is just bookkeeping information for me,
it is of no use to you (unless you think I have a bug, which I don't).

boegelbot · 2024-11-08T08:42:06Z

Test report by @boegelbot
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3472
SUCCESS
Build succeeded for 6 out of 6 (6 easyconfigs in total)
jsczen3g1.int.jsc-zen3.fz-juelich.de - Linux Rocky Linux 9.4, x86_64, AMD EPYC-Milan Processor (zen3), 1 x NVIDIA NVIDIA A100 80GB PCIe, 555.42.06, Python 3.9.18
See https://gist.github.com/boegelbot/41da87f17d845e544dfac4ff3dd6a7be for a full test report.

Thyre · 2024-11-09T19:35:33Z

Test report by @Thyre
SUCCESS
Build succeeded for 5 out of 5 (5 easyconfigs in total)
Linux - Linux EndeavourOS UNKNOWN, x86_64, AMD Ryzen 7 7800X3D 8-Core Processor, 1 x NVIDIA NVIDIA GeForce RTX 3070, 565.57.01, Python 3.12.7
See https://gist.github.com/Thyre/7fa7ad9ec1a081ce1466930ec945a514 for a full test report.

Thyre mentioned this pull request Oct 7, 2024

Enhance generic Bundle easyblock to transfer module requirements of components easybuilders/easybuild-easyblocks#3472

Merged

Thyre force-pushed the add-oneapi-with-codeplay-sycl-nvidia branch from 88c4855 to b953ac8 Compare October 7, 2024 16:55

Thyre changed the title ~~{compiler}[GCCcore/13.3.0] Add intel-compilers-2024.2.0-CUDA-12.6.0.eb~~ {compiler}[system/system] Add intel-compilers-2024.2.0-CUDA-12.6.0.eb Oct 7, 2024

SebastianAchilles added enhancement update 2024a issues & PRs related to 2024a common toolchains labels Oct 7, 2024

SebastianAchilles added this to the release after 4.9.4 milestone Oct 7, 2024

Thyre force-pushed the add-oneapi-with-codeplay-sycl-nvidia branch from b953ac8 to 15a377e Compare October 10, 2024 15:33

Thyre force-pushed the add-oneapi-with-codeplay-sycl-nvidia branch from 15a377e to 195cadd Compare October 31, 2024 20:09

Thyre changed the title ~~{compiler}[system/system] Add intel-compilers-2024.2.0-CUDA-12.6.0.eb~~ {compiler}[system/system] Add CodePlay SYCL plug-in variants for oneAPI 2023.0.0 and newer Oct 31, 2024

{compiler}[system/system] Add intel-compilers-2025.0.0-CUDA-12.6.0.eb

ac0a99b

Signed-off-by: Jan André Reuter <[email protected]>

Thyre force-pushed the add-oneapi-with-codeplay-sycl-nvidia branch from 195cadd to 8b10ca0 Compare October 31, 2024 20:12

Thyre force-pushed the add-oneapi-with-codeplay-sycl-nvidia branch from 8b10ca0 to 8e8b850 Compare October 31, 2024 20:31

Thyre changed the title ~~{compiler}[system/system] Add CodePlay SYCL plug-in variants for oneAPI 2023.0.0 and newer~~ {compiler}[system/system] Add CodePlay CUDA SYCL plug-in variants for oneAPI 2023.0.0 and newer Oct 31, 2024

Thyre added 4 commits October 31, 2024 22:07

{compiler}[system/system] Add intel-compilers-2024.2.0-CUDA-12.5.0.eb

458a0a8

Add Intel oneAPI 2024.2.0 compilers with CodePlay SYCL support for NVIDIA GPUs. Signed-off-by: Jan André Reuter <[email protected]>

{compiler}[system/system] Add intel-compilers-2024.0.0-CUDA-12.3.0.eb

a4b79db

Signed-off-by: Jan André Reuter <[email protected]>

{compiler}[system/system] Add intel-compilers-2023.2.1-CUDA-12.2.2.eb

1b8eb93

Signed-off-by: Jan André Reuter <[email protected]>

{compiler}[system/system] Add intel-compilers-2023.1.0-CUDA-12.1.1.eb

c522065

Signed-off-by: Jan André Reuter <[email protected]>

Thyre added 2 commits October 31, 2024 22:07

{compiler}[system/system] Add intel-compilers-2023.0.0-CUDA-11.7.0.eb

35d63ee

Signed-off-by: Jan André Reuter <[email protected]>

Sanity check intel-compilers-2023.x.x-CUDA-x.x.x for classic compilers

89837fe

Signed-off-by: Jan André Reuter <[email protected]>

Thyre force-pushed the add-oneapi-with-codeplay-sycl-nvidia branch from 8e8b850 to 89837fe Compare October 31, 2024 21:07

Thyre mentioned this pull request Nov 1, 2024

Fix oneAPI sanity check for ifort removal in 2025.0 and newer easybuilders/easybuild-easyblocks#3495

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{compiler}[system/system] Add CodePlay CUDA SYCL plug-in variants for oneAPI 2023.0.0 and newer #21582

{compiler}[system/system] Add CodePlay CUDA SYCL plug-in variants for oneAPI 2023.0.0 and newer #21582

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{compiler}[system/system] Add CodePlay CUDA SYCL plug-in variants for oneAPI 2023.0.0 and newer #21582

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{compiler}[system/system] Add CodePlay CUDA SYCL plug-in variants for oneAPI 2023.0.0 and newer #21582

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