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CUTLASS v1.0 release
2018-05-17 02:44:56 +08:00
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CUTLASS 2.0 (#62) CUTLASS 2.0 Substantially refactored for - Better performance, particularly for native Turing Tensor Cores - Robust and durable templates spanning the design space - Encapsulated functionality embodying modern C++11 programming techniques - Optimized containers and data types for efficient, generic, portable device code Updates to: - Quick start guide - Documentation - Utilities - CUTLASS Profiler Native Turing Tensor Cores - Efficient GEMM kernels targeting Turing Tensor Cores - Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands Coverage of existing CUTLASS functionality: - GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs - Volta Tensor Cores through native mma.sync and through WMMA API - Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions - Batched GEMM operations - Complex-valued GEMMs Note: this commit and all that follow require a host compiler supporting C++11 or greater.
2019-11-20 08:55:34 +08:00
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Fix typos 2 (#842) Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
2023-03-10 12:22:56 +08:00
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2019-11-20 08:55:34 +08:00
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['synctensorref',['SyncTensorRef',['../classcutlass_1_1epilogue_1_1threadblock_1_1Epilogue.html#a9087b022bc5baed5bdf5e828cff31d48',1,'cutlass::epilogue::threadblock::Epilogue::SyncTensorRef()'],['../classcutlass_1_1epilogue_1_1threadblock_1_1InterleavedEpilogue.html#a78e772e8961226c915d25129b5ae1385',1,'cutlass::epilogue::threadblock::InterleavedEpilogue::SyncTensorRef()']]]
CUTLASS v1.0 release
2018-05-17 02:44:56 +08:00
];
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