cutlass/docs/search/classes_a.js

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CUTLASS v1.0 release 2018-05-17 02:44:56 +08:00			`var searchData=`
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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			`['layouttranspose',['LayoutTranspose',['../structcutlass_1_1layout_1_1LayoutTranspose.html',1,'cutlass::layout']]],`
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Updated doxygen 2018-09-20 05:02:08 +08:00			`['log2_5fdown',['log2_down',['../structcutlass_1_1log2__down.html',1,'cutlass']]],`
			`['log2_5fdown_3c_20n_2c_201_2c_20count_20_3e',['log2_down< N, 1, Count >',['../structcutlass_1_1log2__down_3_01N_00_011_00_01Count_01_4.html',1,'cutlass']]],`
			`['log2_5fup',['log2_up',['../structcutlass_1_1log2__up.html',1,'cutlass']]],`
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CUTLASS v1.0 release 2018-05-17 02:44:56 +08:00			`];`