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1 `/* Implementation of the MATMUL intrinsic
2 Copyright (C) 2002-2024 Free Software Foundation, Inc.
3 Contributed by Paul Brook <paul@nowt.org>
4
5 This file is part of the GNU Fortran runtime library (libgfortran).
6
7 Libgfortran is free software; you can redistribute it and/or
8 modify it under the terms of the GNU General Public
9 License as published by the Free Software Foundation; either
10 version 3 of the License, or (at your option) any later version.
11
12 Libgfortran is distributed in the hope that it will be useful,
13 but WITHOUT ANY WARRANTY; without even the implied warranty of
14 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 GNU General Public License for more details.
16
17 Under Section 7 of GPL version 3, you are granted additional
18 permissions described in the GCC Runtime Library Exception, version
19 3.1, as published by the Free Software Foundation.
20
21 You should have received a copy of the GNU General Public License and
22 a copy of the GCC Runtime Library Exception along with this program;
23 see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
24 <http://www.gnu.org/licenses/>. */
25
26 #include "libgfortran.h"
27 #include <string.h>
28 #include <assert.h>'
29
30 include(iparm.m4)dnl
31
32 `#if defined (HAVE_'rtype_name`)
33
34 /* Prototype for the BLAS ?gemm subroutine, a pointer to which can be
35 passed to us by the front-end, in which case we call it for large
36 matrices. */
37
38 typedef void (*blas_call)(const char *, const char *, const int *, const int *,
39 const int *, const 'rtype_name` *, const 'rtype_name` *,
40 const int *, const 'rtype_name` *, const int *,
41 const 'rtype_name` *, 'rtype_name` *, const int *,
42 int, int);
43
44 /* The order of loops is different in the case of plain matrix
45 multiplication C=MATMUL(A,B), and in the frequent special case where
46 the argument A is the temporary result of a TRANSPOSE intrinsic:
47 C=MATMUL(TRANSPOSE(A),B). Transposed temporaries are detected by
48 looking at their strides.
49
50 The equivalent Fortran pseudo-code is:
51
52 DIMENSION A(M,COUNT), B(COUNT,N), C(M,N)
53 IF (.NOT.IS_TRANSPOSED(A)) THEN
54 C = 0
55 DO J=1,N
56 DO K=1,COUNT
57 DO I=1,M
58 C(I,J) = C(I,J)+A(I,K)*B(K,J)
59 ELSE
60 DO J=1,N
61 DO I=1,M
62 S = 0
63 DO K=1,COUNT
64 S = S+A(I,K)*B(K,J)
65 C(I,J) = S
66 ENDIF
67 */
68
69 /* If try_blas is set to a nonzero value, then the matmul function will
70 see if there is a way to perform the matrix multiplication by a call
71 to the BLAS gemm function. */
72
73 extern void matmul_'rtype_code` ('rtype` * const restrict retarray,
74 'rtype` * const restrict a, 'rtype` * const restrict b, int try_blas,
75 int blas_limit, blas_call gemm);
76 export_proto(matmul_'rtype_code`);
77
78 /* Put exhaustive list of possible architectures here here, ORed together. */
79
80 #if defined(HAVE_AVX) || defined(HAVE_AVX2) || defined(HAVE_AVX512F)
81
82 #ifdef HAVE_AVX
83 'define(`matmul_name',`matmul_'rtype_code`_avx')dnl
84 `static void
85 'matmul_name` ('rtype` * const restrict retarray,
86 'rtype` * const restrict a, 'rtype` * const restrict b, int try_blas,
87 int blas_limit, blas_call gemm) __attribute__((__target__("avx")));
88 static' include(matmul_internal.m4)dnl
89 `#endif /* HAVE_AVX */
90
91 #ifdef HAVE_AVX2
92 'define(`matmul_name',`matmul_'rtype_code`_avx2')dnl
93 `static void
94 'matmul_name` ('rtype` * const restrict retarray,
95 'rtype` * const restrict a, 'rtype` * const restrict b, int try_blas,
96 int blas_limit, blas_call gemm) __attribute__((__target__("avx2,fma")));
97 static' include(matmul_internal.m4)dnl
98 `#endif /* HAVE_AVX2 */
99
100 #ifdef HAVE_AVX512F
101 'define(`matmul_name',`matmul_'rtype_code`_avx512f')dnl
102 `static void
103 'matmul_name` ('rtype` * const restrict retarray,
104 'rtype` * const restrict a, 'rtype` * const restrict b, int try_blas,
105 int blas_limit, blas_call gemm) __attribute__((__target__("avx512f")));
106 static' include(matmul_internal.m4)dnl
107 `#endif /* HAVE_AVX512F */
108
109 /* AMD-specifix funtions with AVX128 and FMA3/FMA4. */
110
111 #if defined(HAVE_AVX) && defined(HAVE_FMA3) && defined(HAVE_AVX128)
112 'define(`matmul_name',`matmul_'rtype_code`_avx128_fma3')dnl
113 `void
114 'matmul_name` ('rtype` * const restrict retarray,
115 'rtype` * const restrict a, 'rtype` * const restrict b, int try_blas,
116 int blas_limit, blas_call gemm) __attribute__((__target__("avx,fma")));
117 internal_proto('matmul_name`);
118 #endif
119
120 #if defined(HAVE_AVX) && defined(HAVE_FMA4) && defined(HAVE_AVX128)
121 'define(`matmul_name',`matmul_'rtype_code`_avx128_fma4')dnl
122 `void
123 'matmul_name` ('rtype` * const restrict retarray,
124 'rtype` * const restrict a, 'rtype` * const restrict b, int try_blas,
125 int blas_limit, blas_call gemm) __attribute__((__target__("avx,fma4")));
126 internal_proto('matmul_name`);
127 #endif
128
129 /* Function to fall back to if there is no special processor-specific version. */
130 'define(`matmul_name',`matmul_'rtype_code`_vanilla')dnl
131 `static' include(matmul_internal.m4)dnl
132
133 `/* Compiling main function, with selection code for the processor. */
134
135 /* Currently, this is i386 only. Adjust for other architectures. */
136
137 void matmul_'rtype_code` ('rtype` * const restrict retarray,
138 'rtype` * const restrict a, 'rtype` * const restrict b, int try_blas,
139 int blas_limit, blas_call gemm)
140 {
141 static void (*matmul_p) ('rtype` * const restrict retarray,
142 'rtype` * const restrict a, 'rtype` * const restrict b, int try_blas,
143 int blas_limit, blas_call gemm);
144
145 void (*matmul_fn) ('rtype` * const restrict retarray,
146 'rtype` * const restrict a, 'rtype` * const restrict b, int try_blas,
147 int blas_limit, blas_call gemm);
148
149 matmul_fn = __atomic_load_n (&matmul_p, __ATOMIC_RELAXED);
150 if (matmul_fn == NULL)
151 {
152 matmul_fn = matmul_'rtype_code`_vanilla;
153 if (__builtin_cpu_is ("intel"))
154 {
155 /* Run down the available processors in order of preference. */
156 #ifdef HAVE_AVX512F
157 if (__builtin_cpu_supports ("avx512f"))
158 {
159 matmul_fn = matmul_'rtype_code`_avx512f;
160 goto store;
161 }
162
163 #endif /* HAVE_AVX512F */
164
165 #ifdef HAVE_AVX2
166 if (__builtin_cpu_supports ("avx2")
167 && __builtin_cpu_supports ("fma"))
168 {
169 matmul_fn = matmul_'rtype_code`_avx2;
170 goto store;
171 }
172
173 #endif
174
175 #ifdef HAVE_AVX
176 if (__builtin_cpu_supports ("avx"))
177 {
178 matmul_fn = matmul_'rtype_code`_avx;
179 goto store;
180 }
181 #endif /* HAVE_AVX */
182 }
183 else if (__builtin_cpu_is ("amd"))
184 {
185 #if defined(HAVE_AVX) && defined(HAVE_FMA3) && defined(HAVE_AVX128)
186 if (__builtin_cpu_supports ("avx")
187 && __builtin_cpu_supports ("fma"))
188 {
189 matmul_fn = matmul_'rtype_code`_avx128_fma3;
190 goto store;
191 }
192 #endif
193 #if defined(HAVE_AVX) && defined(HAVE_FMA4) && defined(HAVE_AVX128)
194 if (__builtin_cpu_supports ("avx")
195 && __builtin_cpu_supports ("fma4"))
196 {
197 matmul_fn = matmul_'rtype_code`_avx128_fma4;
198 goto store;
199 }
200 #endif
201
202 }
203 store:
204 __atomic_store_n (&matmul_p, matmul_fn, __ATOMIC_RELAXED);
205 }
206
207 (*matmul_fn) (retarray, a, b, try_blas, blas_limit, gemm);
208 }
209
210 #else /* Just the vanilla function. */
211
212 'define(`matmul_name',`matmul_'rtype_code)dnl
213 define(`target_attribute',`')dnl
214 include(matmul_internal.m4)dnl
215 `#endif
216 #endif
217 '