v2022.10.2
This release fixes a few issues that were found after the v2022.10.1 patch release and updates a few things. Sorry for the churn, folks.
Please download the RAJA-v2022.10.2.tar.gz file below. The others, generated by GitHub, may not work for you due to RAJA's dependencies on git submodules.
Notable changes include:
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Update desul submodule to commit e4b65e00.
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CUDA compute architecture must now be set using the 'CMAKE_CUDA_ARCHITECTURES' CMake variable. For example, by passing '-DCMAKE_CUDA_ARCHITECTURES=70' to CMake for 'sm_70' architecture. Using '-DCUDA_ARCH=sm_*' will not no longer do the right thing. Please see the RAJA User Guide for more information.
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A linking bug was fixed related to the usage of the new RAJA::KernelName capability.
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A compilation bug was fixed in the new reduction interface support for OpenMP target offload.
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An issue was fixed in AVX compiler checking logic for RAJA vectorization intrinsics capabilities.