Comments (5)
hi @psychocoderHPC ,
I can confirm that using
- CUDA 11.2.1
- GCC 10.2.0 with -std=c++17
- Alpaka 0.6.0
- Cupla HEAD of the dev branch
the problem is solved.
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I could reproduce this issue exactly. Googling points you to exactly one result, which leads here:
NVIDIA/thrust#1268 (comment)
A later comment mentions a bug report to the compiler team has been filed. So I guess we have to wait for NVIDIA to fix this :S
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@fwyzard sry for the late response
Could you try if this error still exists in the current dev branch.
With the latest dev and included alpaka 0.6.0 and CUDA 11.2 I do not see the issue:
docker run --runtime=nvidia -it registry.gitlab.com/hzdr/crp/alpaka-group-container/alpaka-ci-cuda112-gccpic:1.2
git clone -b dev https://github.com/alpaka-group/cupla.git
cmake -DCMAKE_CXX_COMPILER=g++-10 -DALPAKA_ACC_GPU_CUDA_ENABLE=ON -DALPAKA_CUDA_ARCH=70 cupla/example/CUDASamples/matrixMul/ -DBOOST_ROOT=/opt/boost/1.70.0/
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hi @psychocoderHPC ,
thanks for the suggestion.
Do I just pick the HEAD of the dev
branch together with Alpaka 0.6.0 ?
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hi @psychocoderHPC ,
I can confirm that using
- CUDA 11.2.1
- GCC 10.2.0 with -std=c++17
- Alpaka 0.6.0
- Cupla HEAD of the dev branch
the problem is solved.
Thanks for testing, I will close this issue.
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Related Issues (20)
- Lots of warnings with 0.4.0. HOT 1
- examples missing HOT 2
- manager::Memory not thread safe HOT 4
- Problems with cuda_fp16 and Eigen Library HOT 13
- Test minimal required CMake version HOT 1
- Some atomic operations not defined HOT 4
- cudaGetLastError() results in infinite loop HOT 5
- threads vs elements when using the OpenMP 4.0 backend HOT 12
- build cupla as a standalone library HOT 7
- GitLab CI: test different GCC, Clang, Boost ... versions
- GitLab CI: add Clang-CUDA test
- problem with asynchronous peer to peer copy. HOT 3
- Problem with multi-Gpu single CPU kernel with CUPLA HOT 6
- Using cupla alongside mallocMC HOT 2
- Issues with building CUPLA examples with ROCm HOT 4
- FAIL in matrixMul example HOT 5
- libCupla should be not forced to build as static library
- cupla examples can not be build without installing cupla HOT 1
- Math function wrappers are not sufficiently generic
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