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CUTLASS v1.0 release
2018-05-17 02:44:56 +08:00
var searchData=
[
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
['k',['k',['../structcutlass_1_1gemm_1_1GemmCoord.html#a18835ec84cbb6250143327e93697c7e9',1,'cutlass::gemm::GemmCoord::k() const '],['../structcutlass_1_1gemm_1_1GemmCoord.html#ae12eb84ec47ddf01b4d459c7aabc22ad',1,'cutlass::gemm::GemmCoord::k()'],['../structcutlass_1_1gemm_1_1BatchedGemmCoord.html#ab85de6cc625dd61523b37ce8d36a7e6e',1,'cutlass::gemm::BatchedGemmCoord::k() const '],['../structcutlass_1_1gemm_1_1BatchedGemmCoord.html#a7d9a8d73ad10cc2615207129ff228393',1,'cutlass::gemm::BatchedGemmCoord::k()']]],
['kernel',['Kernel',['../namespacecutlass.html#acec34e54a2a5fb612a077280b9734606',1,'cutlass']]],
Updated doxygen
2018-09-20 05:02:08 +08:00
['kernellaunchconfiguration',['KernelLaunchConfiguration',['../structcutlass_1_1KernelLaunchConfiguration.html#a726db328ccc8f5e186ff8e7cef568eaa',1,'cutlass::KernelLaunchConfiguration']]],
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
['km',['km',['../structcutlass_1_1gemm_1_1GemmCoord.html#ad60d91a8e6acafca1f62ab3b3088b733',1,'cutlass::gemm::GemmCoord']]],
['kn',['kn',['../structcutlass_1_1gemm_1_1GemmCoord.html#af8f0abf128e5e0fb74bc81b3560e8110',1,'cutlass::gemm::GemmCoord']]],
['knm',['knm',['../structcutlass_1_1gemm_1_1GemmCoord.html#ae4d6a46e4036d5f3d574ab6ae305e619',1,'cutlass::gemm::GemmCoord']]]
CUTLASS v1.0 release
2018-05-17 02:44:56 +08:00
];
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