Comments (6)
There is some support with RAJA forall and launch API's. I believe reductions are not fully supported yet.
Please see the following examples:
https://github.com/LLNL/RAJA/blob/develop/exercises/vector-addition.cpp
https://github.com/LLNL/RAJA/blob/develop/examples/dynamic_mat_transpose.cpp
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Actually, all RAJA::forall and most RAJA::kernel and RAJA::launch features are supported in the develop branch. SYCL reduction support is being developed in https://github.com/LLNL/RAJA/tree/feature/homerdin/sycl_reduction. Parallel scans and sorts are not available yet. Available execution policies, etc. for SYCL are described in the RAJA User Guide.
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There is some support with RAJA forall and launch API's. I believe reductions are not fully supported yet. Please see the following examples:
https://github.com/LLNL/RAJA/blob/develop/exercises/vector-addition.cpp https://github.com/LLNL/RAJA/blob/develop/examples/dynamic_mat_transpose.cpp
I am not familiar with raja. What is the meaning of reductions?
from raja.
Parallel reduction is a general computer science topic, supported by RAJA but not RAJA-specific: https://en.wikipedia.org/wiki/Reduction_operator
The main RAJA project page on GitHub contains a link to the RAJA User Guide. Please refer to that to learn about RAJA. If you have questions, please let us know.
from raja.
Parallel reduction is a general computer science topic, supported by RAJA but not RAJA-specific: https://en.wikipedia.org/wiki/Reduction_operator
The main RAJA project page on GitHub contains a link to the RAJA User Guide. Please refer to that to learn about RAJA. If you have questions, please let us know.
OK,Thank you!
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@wangzy0327 can we close this issue.
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Related Issues (20)
- Add sort support for SYCL
- OpenMP Target CI Checks
- Require explicit initialization values for reductions
- Reduce redundant code in examples
- error: ‘CudaKernel’ is not a member of ‘RAJA::statement’ HOT 5
- Add examples with gpu global indexing for both kernel and launch
- Update CI compilers
- Update User and Dev Guides
- SYCL reduction support
- Support new reduction interface in RAJA::kernel
- Improve RAJA layout documentation when using unit stride
- Add loop interchange and hyperplane capability to launch
- Combine reduction implementations for new and old interfaces
- Improvements to RAJA docs and tutorial
- hip/cuda_global_thread_{x,y,z} not supported in RAJA::kernel HOT 1
- Using Data Members in RAJA::forall with HIP (ROCm) HOT 2
- Loading old cmake versions on build scripts HOT 2
- Add clang-format to RAJA HOT 1
- Slowdown observed with Raja View HOT 5
- Kernel may launch GPU kernel with no work
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