cutlass/docs/search/classes_13.js

var searchData=
[
  ['voltatensoropmultiplicandbcongruous',['VoltaTensorOpMultiplicandBCongruous',['../structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html',1,'cutlass::layout']]],
  ['voltatensoropmultiplicandcongruous',['VoltaTensorOpMultiplicandCongruous',['../structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html',1,'cutlass::layout']]],
  ['voltatensoropmultiplicandcrosswise',['VoltaTensorOpMultiplicandCrosswise',['../structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html',1,'cutlass::layout']]],
  ['voltatensoroppolicy',['VoltaTensorOpPolicy',['../structcutlass_1_1epilogue_1_1warp_1_1VoltaTensorOpPolicy.html',1,'cutlass::epilogue::warp']]],
  ['voltatensoroppolicy_3c_20warpshape_5f_2c_20gemm_3a_3agemmshape_3c_2032_2c_2032_2c_204_20_3e_2c_20float_2c_20layout_3a_3arowmajor_20_3e',['VoltaTensorOpPolicy&lt; WarpShape_, gemm::GemmShape&lt; 32, 32, 4 &gt;, float, layout::RowMajor &gt;',['../structcutlass_1_1epilogue_1_1warp_1_1VoltaTensorOpPolicy_3_01WarpShape___00_01gemm_1_1GemmShape_136ce744d4c1c6e8707f5a9785196194.html',1,'cutlass::epilogue::warp']]],
  ['voltatensoroppolicy_3c_20warpshape_5f_2c_20gemm_3a_3agemmshape_3c_2032_2c_2032_2c_204_20_3e_2c_20half_5ft_2c_20layout_3a_3arowmajor_20_3e',['VoltaTensorOpPolicy&lt; WarpShape_, gemm::GemmShape&lt; 32, 32, 4 &gt;, half_t, layout::RowMajor &gt;',['../structcutlass_1_1epilogue_1_1warp_1_1VoltaTensorOpPolicy_3_01WarpShape___00_01gemm_1_1GemmShape_1d48185f49e4d066f8e9327bf0856b7f.html',1,'cutlass::epilogue::warp']]]
];
Updated doxygen 2018-09-20 05:02:08 +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			`['voltatensoropmultiplicandbcongruous',['VoltaTensorOpMultiplicandBCongruous',['../structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html',1,'cutlass::layout']]],`
			`['voltatensoropmultiplicandcongruous',['VoltaTensorOpMultiplicandCongruous',['../structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html',1,'cutlass::layout']]],`
			`['voltatensoropmultiplicandcrosswise',['VoltaTensorOpMultiplicandCrosswise',['../structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html',1,'cutlass::layout']]],`
			`['voltatensoroppolicy',['VoltaTensorOpPolicy',['../structcutlass_1_1epilogue_1_1warp_1_1VoltaTensorOpPolicy.html',1,'cutlass::epilogue::warp']]],`
			`['voltatensoroppolicy_3c_20warpshape_5f_2c_20gemm_3a_3agemmshape_3c_2032_2c_2032_2c_204_20_3e_2c_20float_2c_20layout_3a_3arowmajor_20_3e',['VoltaTensorOpPolicy< WarpShape_, gemm::GemmShape< 32, 32, 4 >, float, layout::RowMajor >',['../structcutlass_1_1epilogue_1_1warp_1_1VoltaTensorOpPolicy_3_01WarpShape___00_01gemm_1_1GemmShape_136ce744d4c1c6e8707f5a9785196194.html',1,'cutlass::epilogue::warp']]],`
			`['voltatensoroppolicy_3c_20warpshape_5f_2c_20gemm_3a_3agemmshape_3c_2032_2c_2032_2c_204_20_3e_2c_20half_5ft_2c_20layout_3a_3arowmajor_20_3e',['VoltaTensorOpPolicy< WarpShape_, gemm::GemmShape< 32, 32, 4 >, half_t, layout::RowMajor >',['../structcutlass_1_1epilogue_1_1warp_1_1VoltaTensorOpPolicy_3_01WarpShape___00_01gemm_1_1GemmShape_1d48185f49e4d066f8e9327bf0856b7f.html',1,'cutlass::epilogue::warp']]]`
Updated doxygen 2018-09-20 05:02:08 +08:00			`];`