fb335f6a5f
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.
10 lines
535 B
JavaScript
10 lines
535 B
JavaScript
var searchData=
|
|
[
|
|
['layout_2eh',['layout.h',['../layout_8h.html',1,'']]],
|
|
['library_2eh',['library.h',['../library_8h.html',1,'']]],
|
|
['linear_5fcombination_2eh',['linear_combination.h',['../linear__combination_8h.html',1,'']]],
|
|
['linear_5fcombination_5fclamp_2eh',['linear_combination_clamp.h',['../linear__combination__clamp_8h.html',1,'']]],
|
|
['linear_5fcombination_5frelu_2eh',['linear_combination_relu.h',['../linear__combination__relu_8h.html',1,'']]],
|
|
['matrix_2eh',['matrix.h',['../layout_2matrix_8h.html',1,'']]]
|
|
];
|