Comments (5)
psychocoderHPC
commented on June 12, 2024
1
No it is not enough because the kernel does not use the element layer. The element layer must be added then you can use OPTI kernel call.
Am 20. August 2021 11:59:42 MESZ schrieb Sergei Bastrakov ***@***.***>:
…So does changing `CUPLA_KERNEL` to `CUPLA_KERNEL_OPTI` (as suggested by the docs) not help here?
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sbastrakov
commented on June 12, 2024
Good catch, thanks for reporting. I am a bit confused that this comment implies that ALPAKA_ACC_CPU_B_OMP2_T_SEQ should work, but the following condition is different. I will look into that
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sbastrakov
commented on June 12, 2024
Ah, but the documentation you linked even contradicts this comment. So some things among those are wrong for sure
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psychocoderHPC
commented on June 12, 2024
Unfortionally I never added the element layer to the example. The required changes are in the GTC video linked in the README.md.
We should update the example.
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sbastrakov
commented on June 12, 2024
So does changing CUPLA_KERNEL to CUPLA_KERNEL_OPTI (as suggested by the docs) not help here?
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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
- cupla does not build with GCC 10 and CUDA 11 n C++17 mode HOT 5
- Using cupla alongside mallocMC HOT 2
- Issues with building CUPLA examples with ROCm HOT 4
- 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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