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.
11 lines
555 B
JavaScript
11 lines
555 B
JavaScript
var searchData=
|
|
[
|
|
['semaphore_2eh',['semaphore.h',['../semaphore_8h.html',1,'']]],
|
|
['shared_5fload_5fiterator_2eh',['shared_load_iterator.h',['../shared__load__iterator_8h.html',1,'']]],
|
|
['simd_2eh',['simd.h',['../simd_8h.html',1,'']]],
|
|
['simd_5fsm60_2eh',['simd_sm60.h',['../simd__sm60_8h.html',1,'']]],
|
|
['simd_5fsm61_2eh',['simd_sm61.h',['../simd__sm61_8h.html',1,'']]],
|
|
['simt_5fpolicy_2eh',['simt_policy.h',['../simt__policy_8h.html',1,'']]],
|
|
['subbyte_5freference_2eh',['subbyte_reference.h',['../subbyte__reference_8h.html',1,'']]]
|
|
];
|