Cutlass CUDA Templates for Linear Algebra Subroutines and Solvers

sgemm_traits.h
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28 #pragma once
29
30 #include "cutlass/gemm/gemm.h"
31 #include "cutlass/gemm/gemm_epilogue.h"
32 #include "cutlass/gemm/gemm_epilogue_traits.h"
33 #include "cutlass/gemm/gemm_global_tile.h"
34 #include "cutlass/gemm/gemm_shared_tile.h"
35 #include "cutlass/gemm/gemm_traits.h"
36 #include "cutlass/gemm/thread_multiply_add.h"
37
38 namespace cutlass {
39 namespace gemm {
40
42
43 template <
45 typename OutputTile_,
47 typename ThreadGemmShape_,
49 int kScalarsPerLdgA_ = 1,
51 int kScalarsPerLdgB_ = 1,
53 bool kLaunchBounds = true>
54 struct SgemmConfig : public GemmConfig<
56 float,
58 float,
60 float,
62 float,
64 OutputTile_,
66 ThreadMultiplyAdd<ThreadGemmShape_, Shape<1, 4, 8>, float, float, float>,
68 kScalarsPerLdgA_,
70 kScalarsPerLdgA_,
72 4,
74 kScalarsPerLdgB_,
76 kScalarsPerLdgB_,
78 4,
80 1,
82 4,
84 1,
86 2,
88 false,
90 true,
92 kLaunchBounds> {};
93
95
96 template <
98 MatrixLayout::Kind kLayoutA_,
100 MatrixLayout::Kind kLayoutB_,
102 typename OutputTile_ = Shape<8, 128, 128>,
104 typename EpilogueFunctor_ = LinearScaling<float>,
106 typename ThreadGemmShape_ = Shape<8, 8, 8>,
108 int kScalarsPerLdgA_ = 1,
110 int kScalarsPerLdgB_ = 1,
112 typename Index_ = int,
114 typename GemmConfig_ =
115 SgemmConfig<OutputTile_, ThreadGemmShape_, kScalarsPerLdgA_, kScalarsPerLdgB_, false>,
117 typename GemmEpilogueTraits_ =
118 SimplifiedGemmEpilogueTraits<GemmConfig_, EpilogueFunctor_, Index_> >
119 struct SgemmTraits : public SimplifiedGemmTraits<
120 // The layout for A.
121 kLayoutA_,
122 // The layout for B.
123 kLayoutB_,
124 // The config.
125 GemmConfig_,
126 // The epilogue.
127 GemmEpilogue<GemmEpilogueTraits_>,
128 // The index.
129 Index_> {};
130
132
134 template <
136 MatrixLayout::Kind kLayoutA_,
138 MatrixLayout::Kind kLayoutB_,
140 typename OutputTile_ = Shape<8, 128, 128>,
142 typename EpilogueFunctor_ = LinearScaling<float>,
144 typename ThreadGemmShape_ = Shape<8, 8, 8>,
146 int kScalarsPerLdgA_ = 1,
148 int kScalarsPerLdgB_ = 1,
150 typename Index_ = int,
152 typename GemmConfig_ =
153 SgemmConfig<OutputTile_, ThreadGemmShape_, kScalarsPerLdgA_, kScalarsPerLdgB_, true>,
155 typename GemmEpilogueTraits_ =
156 SimplifiedGemmEpilogueTraits<GemmConfig_, EpilogueFunctor_, Index_> >
157 struct SgemmLBTraits : public SimplifiedGemmTraits<
158 // The layout for A.
159 kLayoutA_,
160 // The layout for B.
161 kLayoutB_,
162 // The config.
163 GemmConfig_,
164 // The epilogue.
165 GemmEpilogue<GemmEpilogueTraits_>,
166 // The index.
167 Index_> {};
168
170
171 } // namespace gemm
172 } // namespace cutlass
cutlass
Definition: convert.h:33
gemm_global_tile.h
Defines iterators for efficiently loading and storing to global memory.
gemm_traits.h
Defines structural properties of complete GEMM computation.
cutlass::MatrixLayout::Kind
Kind
Enumeration defining fundamental contiguous layouts.
Definition: matrix_traits.h:159
cutlass::gemm::SgemmConfig
Definition: sgemm_traits.h:54
thread_multiply_add.h
Template implementing matrix multiply-add operations on fragments.
cutlass::gemm::SgemmLBTraits
Helper to define SGEMM traits using Launch Bounds.
Definition: sgemm_traits.h:157
gemm_epilogue.h
Implements the epilogue phase of the GEMM kernel that efficiently updates global memory with the comp...
gemm_shared_tile.h
Defines iterators for efficiently loading and storing tiles to and from shared memory.
cutlass::gemm::GemmConfig
Definition: gemm_config.h:76
cutlass::Shape
A Shape implementing Layout Concept describing the dimensions of a cube.
Definition: shape.h:64
cutlass::gemm::SimplifiedGemmEpilogueTraits
Definition: gemm_epilogue_traits.h:340
cutlass::gemm::SgemmTraits
Definition: sgemm_traits.h:119
cutlass::gemm::LinearScaling
Functor to compute linear combination of fragments.
Definition: linear_scaling.h:51
gemm.h
Implements a software-pipelined efficient GEMM.
gemm_epilogue_traits.h
Defines structural properties of the GEMM epilogue.
cutlass::gemm::SimplifiedGemmTraits
Definition: gemm_traits.h:773