Execution spaces: support for memory backends and execution policies #543
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cnpetra
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cameronrutherford
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Dec 13, 2022
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Perhaps the biggest PR I have ever reviewed. Amazing work @cnpetra, and while I made 43 comments, they are all relatively minor.
| void hiopVectorRajaPar::print(FILE* file/*=nullptr*/, const char* msg/*=nullptr*/, int max_elems/*=-1*/, int rank/*=-1*/) const | ||
| template<class MEM, class POL> | ||
| void hiopVectorRaja<MEM,POL>:: | ||
| print(FILE* file, const char* msg/*=NULL*/, int max_elems/*=-1*/, int rank/*=-1*/) const |
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These default values should be enforced either in header file or here... I commented on another function that had default values removed, so wanted to make sure that functionality wasn't lost.
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This was referenced Dec 19, 2022
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Abstraction needed to support multiple hardware backends. The goal is to allow multiple "backends" to run concurrently, e.g., Cuda/Hip linear algebra with Raja linear algebra. This proposed implementation differentiates between memory backend and execution policy to allow using Raja with Umpire memory, Raja with Cuda/Hip memory, or Raja with std memory.
Passes tests on Crusher (with Umpire memory backend and RAJA exec policies), in addition to all the CIs. Tested with CUDA memory backend and RAJA exec policies manually on Ascent.