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dgemm_small_kernel_nn_skylakex.c 22 kB

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  1. /***************************************************************************
  2. Copyright (c) 2021, The OpenBLAS Project
  3. All rights reserved.
  4. Redistribution and use in source and binary forms, with or without
  5. modification, are permitted provided that the following conditions are
  6. met:
  7. 1. Redistributions of source code must retain the above copyright
  8. notice, this list of conditions and the following disclaimer.
  9. 2. Redistributions in binary form must reproduce the above copyright
  10. notice, this list of conditions and the following disclaimer in
  11. the documentation and/or other materials provided with the
  12. distribution.
  13. 3. Neither the name of the OpenBLAS project nor the names of
  14. its contributors may be used to endorse or promote products
  15. derived from this software without specific prior written permission.
  16. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
  17. AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
  18. IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
  19. ARE DISCLAIMED. IN NO EVENT SHALL THE OPENBLAS PROJECT OR CONTRIBUTORS BE
  20. LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
  21. DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
  22. SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
  23. CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
  24. OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
  25. USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  26. *****************************************************************************/
  27. #if (( defined(__GNUC__) && __GNUC__ > 6 && defined(__AVX512CD__)) || (defined(__clang__) && __clang_major__ >= 9))
  28. #include <immintrin.h>
  29. #include "common.h"
  30. #include <stdio.h>
  31. #include <memory.h>
  32. #define DECLARE_RESULT_512(M, N) __m512d result##M##N = _mm512_setzero_pd()
  33. #define LOAD_A_512(M, N) __m512d Aval##M = _mm512_loadu_pd(&A[lda * k + i + (M*8)])
  34. #define MASK_LOAD_A_512(M, N) __m512d Aval##M = _mm512_maskz_loadu_pd(mask, &A[lda * k + i + (M*8)])
  35. #define BROADCAST_LOAD_B_512(M, N) __m512d Bval##N = _mm512_broadcastsd_pd(_mm_load_pd1(&B[k + ldb * (j+N)]))
  36. #define MATMUL_512(M, N) result##M##N = _mm512_fmadd_pd(Aval##M, Bval##N, result##M##N)
  37. #if defined(B0)
  38. #define STORE_512(M, N) result##M##N = _mm512_mul_pd(result##M##N, alpha_512); \
  39. _mm512_storeu_pd(&C[(j+N)*ldc + i + (M*8)], result##M##N)
  40. #define MASK_STORE_512(M, N) result##M##N = _mm512_mul_pd(result##M##N, alpha_512); \
  41. _mm512_mask_storeu_pd(&C[(j+N)*ldc + i + (M*8)], mask, result##M##N)
  42. #else
  43. #define STORE_512(M, N) \
  44. result##M##N = _mm512_mul_pd(result##M##N, alpha_512); \
  45. asm("vfmadd231pd (%1), %2, %0": "+v"(result##M##N):"r"(&C[(j+N)*ldc + i + (M*8)]), "v"(beta_512)); \
  46. _mm512_storeu_pd(&C[(j+N)*ldc + i + (M*8)], result##M##N)
  47. #define MASK_STORE_512(M, N) \
  48. result##M##N = _mm512_mul_pd(result##M##N, alpha_512); \
  49. asm("vfmadd231pd (%1), %2, %0 %{%3%}": "+v"(result##M##N):"r"(&C[(j+N)*ldc + i + (M*8)]), "v"(beta_512), "Yk"(mask)); \
  50. _mm512_mask_storeu_pd(&C[(j+N)*ldc + i + (M*8)], mask, result##M##N)
  51. #endif
  52. #define LOAD_KA_512(M, N) __m512d Aval##M = _mm512_loadu_pd(&mbuf[(mi + M)*K + k]);
  53. #define LOAD_KB_512(M, N) __m512d Bval##N = _mm512_loadu_pd(&B[(j + N)*ldb + k])
  54. #define MASK_LOAD_KA_512(M, N) __m512d Aval##M = _mm512_maskz_loadu_pd(mask, &mbuf[(mi + M)*K + k])
  55. #define MASK_LOAD_KB_512(M, N) __m512d Bval##N = _mm512_maskz_loadu_pd(mask, &B[(j + N)*ldb + k])
  56. #define REDUCE_4(rr0, rr1, rr2, rr3) \
  57. __m512d r0, r1, r2, r3, t0, t1, t2, t3;\
  58. r0 = _mm512_unpacklo_pd(rr0, rr1); r1 = _mm512_unpackhi_pd(rr0, rr1); \
  59. r2 = _mm512_unpacklo_pd(rr2, rr3); r3 = _mm512_unpackhi_pd(rr2, rr3); \
  60. t0 = _mm512_permutex2var_pd(r0, idx_lo, r2); t1 = _mm512_permutex2var_pd(r1, idx_lo, r3); \
  61. t2 = _mm512_permutex2var_pd(r0, idx_hi, r2); t3 = _mm512_permutex2var_pd(r1, idx_hi, r3); \
  62. r0 = _mm512_add_pd(t0, t1); r1 = _mm512_add_pd(t2, t3); t0 = _mm512_add_pd(r0, r1); \
  63. __m256d s0, s1; \
  64. s0 = _mm512_extractf64x4_pd(t0, 0); s1 = _mm512_extractf64x4_pd(t0, 1); \
  65. s0 = _mm256_add_pd(s0, s1); s0 = _mm256_mul_pd(alpha_256, s0);
  66. #define REDUCE_M4(N) REDUCE_4(result0##N, result1##N, result2##N, result3##N)
  67. #define REDUCE_N4(M) REDUCE_4(result##M##0, result##M##1, result##M##2, result##M##3)
  68. #if defined(B0)
  69. #define STORE_REDUCE(M, N) C[(j+N)*ldc + i + M] = alpha * _mm512_reduce_add_pd(result##M##N);
  70. #define STORE_REDUCE_M4(N) {\
  71. REDUCE_M4(N) \
  72. _mm256_storeu_pd(&C[(j + N)*ldc + i], s0); \
  73. }
  74. #define STORE_REDUCE_N4(M) {\
  75. REDUCE_N4(M) \
  76. _mm256_i64scatter_pd(&C[j*ldc + i + M], vindex_n, s0, 8); \
  77. }
  78. #else
  79. #define STORE_REDUCE(M, N) C[(j+N)*ldc + i + M] = alpha * _mm512_reduce_add_pd(result##M##N) + beta * C[(j+N)*ldc + i + M];
  80. #define STORE_REDUCE_M4(N) {\
  81. REDUCE_M4(N) \
  82. asm("vfmadd231pd (%1), %2, %0": "+v"(s0):"r"(&C[(j + N)*ldc + i]), "v"(beta_256)); \
  83. _mm256_storeu_pd(&C[(j + N)*ldc + i], s0); \
  84. }
  85. #define STORE_REDUCE_N4(M) {\
  86. REDUCE_N4(M) \
  87. s1 = _mm256_i64gather_pd(&C[j*ldc + i + M], vindex_n, 8); \
  88. s0 = _mm256_fmadd_pd(s1, beta_256, s0); \
  89. _mm256_i64scatter_pd(&C[j*ldc + i + M], vindex_n, s0, 8); \
  90. }
  91. #endif
  92. #if defined(B0)
  93. int CNAME(BLASLONG M, BLASLONG N, BLASLONG K, FLOAT * A, BLASLONG lda, FLOAT alpha, FLOAT * B, BLASLONG ldb, FLOAT * C, BLASLONG ldc)
  94. #else
  95. int CNAME(BLASLONG M, BLASLONG N, BLASLONG K, FLOAT * A, BLASLONG lda, FLOAT alpha, FLOAT * B, BLASLONG ldb, FLOAT beta, FLOAT * C, BLASLONG ldc)
  96. #endif
  97. {
  98. // column major
  99. BLASLONG i, j, k;
  100. BLASLONG m32 = M & ~31;
  101. BLASLONG m16 = M & ~15;
  102. BLASLONG m8 = M & ~7;
  103. BLASLONG m4 = M & ~3;
  104. BLASLONG m2 = M & ~1;
  105. BLASLONG n6 = N - (N % 6);
  106. BLASLONG n4 = N & ~3;
  107. BLASLONG n2 = N & ~1;
  108. __m512d alpha_512 = _mm512_broadcastsd_pd(_mm_load_pd1(&alpha));
  109. #if !defined(B0)
  110. __m512d beta_512 = _mm512_broadcastsd_pd(_mm_load_pd1(&beta));
  111. #endif
  112. for (i = 0; i < m32; i += 32) {
  113. for (j = 0; j < n4; j += 4) {
  114. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0); DECLARE_RESULT_512(2, 0); DECLARE_RESULT_512(3, 0);
  115. DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1); DECLARE_RESULT_512(2, 1); DECLARE_RESULT_512(3, 1);
  116. DECLARE_RESULT_512(0, 2); DECLARE_RESULT_512(1, 2); DECLARE_RESULT_512(2, 2); DECLARE_RESULT_512(3, 2);
  117. DECLARE_RESULT_512(0, 3); DECLARE_RESULT_512(1, 3); DECLARE_RESULT_512(2, 3); DECLARE_RESULT_512(3, 3);
  118. for (k = 0; k < K; k++) {
  119. LOAD_A_512(0, x); LOAD_A_512(1, x); LOAD_A_512(2, x); LOAD_A_512(3, x);
  120. BROADCAST_LOAD_B_512(x, 0); BROADCAST_LOAD_B_512(x, 1);
  121. BROADCAST_LOAD_B_512(x, 2); BROADCAST_LOAD_B_512(x, 3);
  122. MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
  123. MATMUL_512(0, 1); MATMUL_512(1, 1); MATMUL_512(2, 1); MATMUL_512(3, 1);
  124. MATMUL_512(0, 2); MATMUL_512(1, 2); MATMUL_512(2, 2); MATMUL_512(3, 2);
  125. MATMUL_512(0, 3); MATMUL_512(1, 3); MATMUL_512(2, 3); MATMUL_512(3, 3);
  126. }
  127. STORE_512(0, 0); STORE_512(1, 0); STORE_512(2, 0); STORE_512(3, 0);
  128. STORE_512(0, 1); STORE_512(1, 1); STORE_512(2, 1); STORE_512(3, 1);
  129. STORE_512(0, 2); STORE_512(1, 2); STORE_512(2, 2); STORE_512(3, 2);
  130. STORE_512(0, 3); STORE_512(1, 3); STORE_512(2, 3); STORE_512(3, 3);
  131. }
  132. for (; j < n2; j += 2) {
  133. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0); DECLARE_RESULT_512(2, 0); DECLARE_RESULT_512(3, 0);
  134. DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1); DECLARE_RESULT_512(2, 1); DECLARE_RESULT_512(3, 1);
  135. for (k = 0; k < K; k++) {
  136. LOAD_A_512(0, x); LOAD_A_512(1, x); LOAD_A_512(2, x); LOAD_A_512(3, x);
  137. BROADCAST_LOAD_B_512(x, 0); BROADCAST_LOAD_B_512(x, 1);
  138. MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
  139. MATMUL_512(0, 1); MATMUL_512(1, 1); MATMUL_512(2, 1); MATMUL_512(3, 1);
  140. }
  141. STORE_512(0, 0); STORE_512(1, 0); STORE_512(2, 0); STORE_512(3, 0);
  142. STORE_512(0, 1); STORE_512(1, 1); STORE_512(2, 1); STORE_512(3, 1);
  143. }
  144. for (; j < N; j++) {
  145. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0); DECLARE_RESULT_512(2, 0); DECLARE_RESULT_512(3, 0);
  146. for (k = 0; k < K; k++) {
  147. LOAD_A_512(0, x); LOAD_A_512(1, x); LOAD_A_512(2, x); LOAD_A_512(3, x);
  148. BROADCAST_LOAD_B_512(x, 0);
  149. MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
  150. }
  151. STORE_512(0, 0); STORE_512(1, 0); STORE_512(2, 0); STORE_512(3, 0);
  152. }
  153. }
  154. for (; i < m16; i += 16) {
  155. for (j = 0; j < n6; j += 6) {
  156. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0);
  157. DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1);
  158. DECLARE_RESULT_512(0, 2); DECLARE_RESULT_512(1, 2);
  159. DECLARE_RESULT_512(0, 3); DECLARE_RESULT_512(1, 3);
  160. DECLARE_RESULT_512(0, 4); DECLARE_RESULT_512(1, 4);
  161. DECLARE_RESULT_512(0, 5); DECLARE_RESULT_512(1, 5);
  162. for (k = 0; k < K; k++) {
  163. LOAD_A_512(0, x); LOAD_A_512(1, x);
  164. BROADCAST_LOAD_B_512(x, 0); BROADCAST_LOAD_B_512(x, 1);
  165. BROADCAST_LOAD_B_512(x, 2); BROADCAST_LOAD_B_512(x, 3);
  166. BROADCAST_LOAD_B_512(x, 4); BROADCAST_LOAD_B_512(x, 5);
  167. MATMUL_512(0, 0); MATMUL_512(1, 0);
  168. MATMUL_512(0, 1); MATMUL_512(1, 1);
  169. MATMUL_512(0, 2); MATMUL_512(1, 2);
  170. MATMUL_512(0, 3); MATMUL_512(1, 3);
  171. MATMUL_512(0, 4); MATMUL_512(1, 4);
  172. MATMUL_512(0, 5); MATMUL_512(1, 5);
  173. }
  174. STORE_512(0, 0); STORE_512(1, 0);
  175. STORE_512(0, 1); STORE_512(1, 1);
  176. STORE_512(0, 2); STORE_512(1, 2);
  177. STORE_512(0, 3); STORE_512(1, 3);
  178. STORE_512(0, 4); STORE_512(1, 4);
  179. STORE_512(0, 5); STORE_512(1, 5);
  180. }
  181. for (; j < n2; j += 2) {
  182. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0);
  183. DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1);
  184. for (k = 0; k < K; k++) {
  185. LOAD_A_512(0, x); LOAD_A_512(1, x);
  186. BROADCAST_LOAD_B_512(x, 0); BROADCAST_LOAD_B_512(x, 1);
  187. MATMUL_512(0, 0); MATMUL_512(1, 0);
  188. MATMUL_512(0, 1); MATMUL_512(1, 1);
  189. }
  190. STORE_512(0, 0); STORE_512(1, 0);
  191. STORE_512(0, 1); STORE_512(1, 1);
  192. }
  193. for (; j < N; j++) {
  194. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0);
  195. for (k = 0; k < K; k++) {
  196. LOAD_A_512(0, x); LOAD_A_512(1, x);
  197. BROADCAST_LOAD_B_512(x, 0);
  198. MATMUL_512(0, 0); MATMUL_512(1, 0);
  199. }
  200. STORE_512(0, 0); STORE_512(1, 0);
  201. }
  202. }
  203. for (; i < m8; i += 8) {
  204. for (j = 0; j < n6; j += 6) {
  205. DECLARE_RESULT_512(0, 0);
  206. DECLARE_RESULT_512(0, 1);
  207. DECLARE_RESULT_512(0, 2);
  208. DECLARE_RESULT_512(0, 3);
  209. DECLARE_RESULT_512(0, 4);
  210. DECLARE_RESULT_512(0, 5);
  211. for (k = 0; k < K; k++) {
  212. LOAD_A_512(0, x);
  213. BROADCAST_LOAD_B_512(x, 0); BROADCAST_LOAD_B_512(x, 1);
  214. BROADCAST_LOAD_B_512(x, 2); BROADCAST_LOAD_B_512(x, 3);
  215. BROADCAST_LOAD_B_512(x, 4); BROADCAST_LOAD_B_512(x, 5);
  216. MATMUL_512(0, 0);
  217. MATMUL_512(0, 1);
  218. MATMUL_512(0, 2);
  219. MATMUL_512(0, 3);
  220. MATMUL_512(0, 4);
  221. MATMUL_512(0, 5);
  222. }
  223. STORE_512(0, 0);
  224. STORE_512(0, 1);
  225. STORE_512(0, 2);
  226. STORE_512(0, 3);
  227. STORE_512(0, 4);
  228. STORE_512(0, 5);
  229. }
  230. for (; j < n2; j += 2) {
  231. DECLARE_RESULT_512(0, 0);
  232. DECLARE_RESULT_512(0, 1);
  233. for (k = 0; k < K; k++) {
  234. LOAD_A_512(0, x);
  235. BROADCAST_LOAD_B_512(x, 0); BROADCAST_LOAD_B_512(x, 1);
  236. MATMUL_512(0, 0);
  237. MATMUL_512(0, 1);
  238. }
  239. STORE_512(0, 0);
  240. STORE_512(0, 1);
  241. }
  242. for (; j < N; j++) {
  243. DECLARE_RESULT_512(0, 0);
  244. for (k = 0; k < K; k++) {
  245. LOAD_A_512(0, x);
  246. BROADCAST_LOAD_B_512(x, 0);
  247. MATMUL_512(0, 0);
  248. }
  249. STORE_512(0, 0);
  250. }
  251. }
  252. int mm = M - i;
  253. if (!mm) return 0;
  254. if (mm > 4 || K < 16) {
  255. register __mmask8 mask = (1UL << mm) - 1;
  256. for (j = 0; j < n6; j += 6) {
  257. DECLARE_RESULT_512(0, 0);
  258. DECLARE_RESULT_512(0, 1);
  259. DECLARE_RESULT_512(0, 2);
  260. DECLARE_RESULT_512(0, 3);
  261. DECLARE_RESULT_512(0, 4);
  262. DECLARE_RESULT_512(0, 5);
  263. for (k = 0; k < K; k++) {
  264. MASK_LOAD_A_512(0, x);
  265. BROADCAST_LOAD_B_512(x, 0); BROADCAST_LOAD_B_512(x, 1);
  266. BROADCAST_LOAD_B_512(x, 2); BROADCAST_LOAD_B_512(x, 3);
  267. BROADCAST_LOAD_B_512(x, 4); BROADCAST_LOAD_B_512(x, 5);
  268. MATMUL_512(0, 0);
  269. MATMUL_512(0, 1);
  270. MATMUL_512(0, 2);
  271. MATMUL_512(0, 3);
  272. MATMUL_512(0, 4);
  273. MATMUL_512(0, 5);
  274. }
  275. MASK_STORE_512(0, 0);
  276. MASK_STORE_512(0, 1);
  277. MASK_STORE_512(0, 2);
  278. MASK_STORE_512(0, 3);
  279. MASK_STORE_512(0, 4);
  280. MASK_STORE_512(0, 5);
  281. }
  282. for (; j < n2; j += 2) {
  283. DECLARE_RESULT_512(0, 0);
  284. DECLARE_RESULT_512(0, 1);
  285. for (k = 0; k < K; k++) {
  286. MASK_LOAD_A_512(0, x);
  287. BROADCAST_LOAD_B_512(x, 0); BROADCAST_LOAD_B_512(x, 1);
  288. MATMUL_512(0, 0);
  289. MATMUL_512(0, 1);
  290. }
  291. MASK_STORE_512(0, 0);
  292. MASK_STORE_512(0, 1);
  293. }
  294. for (; j < N; j++) {
  295. DECLARE_RESULT_512(0, 0);
  296. for (k = 0; k < K; k++) {
  297. MASK_LOAD_A_512(0, x);
  298. BROADCAST_LOAD_B_512(x, 0);
  299. MATMUL_512(0, 0);
  300. }
  301. MASK_STORE_512(0, 0);
  302. }
  303. } else {
  304. /* M => [1, 4]
  305. *
  306. * This kernel use dot-like style to calc a value - C(x, y):
  307. * C(x, y) = A(x, 0)*B(0, y) + A(x, 1)*B(1, y) +....+ A(x, K)*B(K, y)
  308. *
  309. * Alloc a buf to copy rest of A as row major,
  310. * so memory access from 0 to K is continuous for both A & B.
  311. *
  312. * Loading to zmm and FMA 8 of k at one loop,
  313. * finally reduce_add zmm to a single float result in C(x, y).
  314. *
  315. * Note: performance is bad when K is small.
  316. */
  317. FLOAT *mbuf = (FLOAT *) malloc(sizeof(FLOAT)*mm*K);
  318. __mmask8 mask = (1UL << mm) - 1;
  319. BLASLONG k8 = K & ~7;
  320. BLASLONG k4 = K & ~3;
  321. for (k = 0; k < k4; k += 4) {
  322. __m256d r0, r1, r2, r3;
  323. __m256d t0, t1, t2, t3;
  324. r0 = _mm256_maskz_loadu_pd(mask, &A[i + lda*(0 + k)]);
  325. r1 = _mm256_maskz_loadu_pd(mask, &A[i + lda*(1 + k)]);
  326. r2 = _mm256_maskz_loadu_pd(mask, &A[i + lda*(2 + k)]);
  327. r3 = _mm256_maskz_loadu_pd(mask, &A[i + lda*(3 + k)]);
  328. t0 = _mm256_unpacklo_pd(r0, r1);
  329. t1 = _mm256_unpackhi_pd(r0, r1);
  330. t2 = _mm256_unpacklo_pd(r2, r3);
  331. t3 = _mm256_unpackhi_pd(r2, r3);
  332. r0 = _mm256_permute2f128_pd(t0, t2, 0x20);
  333. r1 = _mm256_permute2f128_pd(t1, t3, 0x20);
  334. r2 = _mm256_permute2f128_pd(t0, t2, 0x31);
  335. r3 = _mm256_permute2f128_pd(t1, t3, 0x31);
  336. switch (mm) {
  337. case 4: _mm256_storeu_pd(&mbuf[k + 3*K], r3);
  338. case 3: _mm256_storeu_pd(&mbuf[k + 2*K], r2);
  339. case 2: _mm256_storeu_pd(&mbuf[k + 1*K], r1);
  340. case 1: _mm256_storeu_pd(&mbuf[k + 0*K], r0);
  341. }
  342. }
  343. for (; k < K; k++) {
  344. for (int ii = 0; ii < mm; ii++) {
  345. mbuf[k + ii*K] = A[i + lda*k + ii];
  346. }
  347. }
  348. int mi = 0;
  349. __m256d alpha_256 = _mm256_broadcast_sd(&alpha);
  350. #if !defined(B0)
  351. __m256d beta_256 = _mm256_broadcast_sd(&beta);
  352. #endif
  353. __m256i vindex_n = _mm256_set_epi64x(ldc*3, ldc*2, ldc*1, 0);
  354. long long permute_table[] = {
  355. 0, 1, 0|8, 1|8, 4, 5, 4|8, 5|8,
  356. 2, 3, 2|8, 3|8, 6, 7, 6|8, 7|8,
  357. };
  358. __m512i idx_lo = _mm512_loadu_si512(permute_table);
  359. __m512i idx_hi = _mm512_loadu_si512(permute_table + 8);
  360. for (; i < m4; i += 4, mi += 4) {
  361. for (j = 0; j < n4; j += 4) {
  362. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0); DECLARE_RESULT_512(2, 0); DECLARE_RESULT_512(3, 0);
  363. DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1); DECLARE_RESULT_512(2, 1); DECLARE_RESULT_512(3, 1);
  364. DECLARE_RESULT_512(0, 2); DECLARE_RESULT_512(1, 2); DECLARE_RESULT_512(2, 2); DECLARE_RESULT_512(3, 2);
  365. DECLARE_RESULT_512(0, 3); DECLARE_RESULT_512(1, 3); DECLARE_RESULT_512(2, 3); DECLARE_RESULT_512(3, 3);
  366. for (k = 0; k < k8; k += 8) {
  367. LOAD_KA_512(0, x); LOAD_KA_512(1, x); LOAD_KA_512(2, x); LOAD_KA_512(3, x);
  368. LOAD_KB_512(x, 0); LOAD_KB_512(x, 1); LOAD_KB_512(x, 2); LOAD_KB_512(x, 3);
  369. MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
  370. MATMUL_512(0, 1); MATMUL_512(1, 1); MATMUL_512(2, 1); MATMUL_512(3, 1);
  371. MATMUL_512(0, 2); MATMUL_512(1, 2); MATMUL_512(2, 2); MATMUL_512(3, 2);
  372. MATMUL_512(0, 3); MATMUL_512(1, 3); MATMUL_512(2, 3); MATMUL_512(3, 3);
  373. }
  374. int remains = K - k;
  375. if (remains) {
  376. mask = (1UL << remains) - 1;
  377. MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x); MASK_LOAD_KA_512(2, x); MASK_LOAD_KA_512(3, x);
  378. MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1); MASK_LOAD_KB_512(x, 2); MASK_LOAD_KB_512(x, 3);
  379. MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
  380. MATMUL_512(0, 1); MATMUL_512(1, 1); MATMUL_512(2, 1); MATMUL_512(3, 1);
  381. MATMUL_512(0, 2); MATMUL_512(1, 2); MATMUL_512(2, 2); MATMUL_512(3, 2);
  382. MATMUL_512(0, 3); MATMUL_512(1, 3); MATMUL_512(2, 3); MATMUL_512(3, 3);
  383. }
  384. STORE_REDUCE_M4(0); STORE_REDUCE_M4(1); STORE_REDUCE_M4(2); STORE_REDUCE_M4(3);
  385. }
  386. for (; j < n2; j += 2) {
  387. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0); DECLARE_RESULT_512(2, 0); DECLARE_RESULT_512(3, 0);
  388. DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1); DECLARE_RESULT_512(2, 1); DECLARE_RESULT_512(3, 1);
  389. for (k = 0; k < k8; k += 8) {
  390. LOAD_KA_512(0, x); LOAD_KA_512(1, x); LOAD_KA_512(2, x); LOAD_KA_512(3, x);
  391. LOAD_KB_512(x, 0); LOAD_KB_512(x, 1);
  392. MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
  393. MATMUL_512(0, 1); MATMUL_512(1, 1); MATMUL_512(2, 1); MATMUL_512(3, 1);
  394. }
  395. int remains = K - k;
  396. if (remains) {
  397. mask = (1UL << remains) - 1;
  398. MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x); MASK_LOAD_KA_512(2, x); MASK_LOAD_KA_512(3, x);
  399. MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1);
  400. MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
  401. MATMUL_512(0, 1); MATMUL_512(1, 1); MATMUL_512(2, 1); MATMUL_512(3, 1);
  402. }
  403. STORE_REDUCE_M4(0); STORE_REDUCE_M4(1);
  404. }
  405. for (; j < N; j += 1) {
  406. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0); DECLARE_RESULT_512(2, 0); DECLARE_RESULT_512(3, 0);
  407. for (k = 0; k < k8; k += 8) {
  408. LOAD_KA_512(0, x); LOAD_KA_512(1, x); LOAD_KA_512(2, x); LOAD_KA_512(3, x);
  409. LOAD_KB_512(x, 0);
  410. MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
  411. }
  412. int remains = K - k;
  413. if (remains) {
  414. mask = (1UL << remains) - 1;
  415. MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x); MASK_LOAD_KA_512(2, x); MASK_LOAD_KA_512(3, x);
  416. MASK_LOAD_KB_512(x, 0);
  417. MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
  418. }
  419. STORE_REDUCE_M4(0);
  420. }
  421. }
  422. for (; i < m2; i += 2, mi += 2) {
  423. for (j = 0; j < n4; j += 4) {
  424. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0);
  425. DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1);
  426. DECLARE_RESULT_512(0, 2); DECLARE_RESULT_512(1, 2);
  427. DECLARE_RESULT_512(0, 3); DECLARE_RESULT_512(1, 3);
  428. for (k = 0; k < k8; k += 8) {
  429. LOAD_KA_512(0, x); LOAD_KA_512(1, x);
  430. LOAD_KB_512(x, 0); LOAD_KB_512(x, 1); LOAD_KB_512(x, 2); LOAD_KB_512(x, 3);
  431. MATMUL_512(0, 0); MATMUL_512(1, 0);
  432. MATMUL_512(0, 1); MATMUL_512(1, 1);
  433. MATMUL_512(0, 2); MATMUL_512(1, 2);
  434. MATMUL_512(0, 3); MATMUL_512(1, 3);
  435. }
  436. int remains = K - k;
  437. if (remains) {
  438. mask = (1UL << remains) - 1;
  439. MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x);
  440. MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1); MASK_LOAD_KB_512(x, 2); MASK_LOAD_KB_512(x, 3);
  441. MATMUL_512(0, 0); MATMUL_512(1, 0);
  442. MATMUL_512(0, 1); MATMUL_512(1, 1);
  443. MATMUL_512(0, 2); MATMUL_512(1, 2);
  444. MATMUL_512(0, 3); MATMUL_512(1, 3);
  445. }
  446. STORE_REDUCE_N4(0); STORE_REDUCE_N4(1);
  447. }
  448. for (; j < n2; j += 2) {
  449. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0);
  450. DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1);
  451. for (k = 0; k < k8; k += 8) {
  452. LOAD_KA_512(0, x); LOAD_KA_512(1, x);
  453. LOAD_KB_512(x, 0); LOAD_KB_512(x, 1);
  454. MATMUL_512(0, 0); MATMUL_512(1, 0);
  455. MATMUL_512(0, 1); MATMUL_512(1, 1);
  456. }
  457. int remains = K - k;
  458. if (remains) {
  459. mask = (1UL << remains) - 1;
  460. MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x);
  461. MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1);
  462. MATMUL_512(0, 0); MATMUL_512(1, 0);
  463. MATMUL_512(0, 1); MATMUL_512(1, 1);
  464. }
  465. STORE_REDUCE(0, 0); STORE_REDUCE(1, 0);
  466. STORE_REDUCE(0, 1); STORE_REDUCE(1, 1);
  467. }
  468. for (; j < N; j += 1) {
  469. DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0);
  470. for (k = 0; k < k8; k += 8) {
  471. LOAD_KA_512(0, x); LOAD_KA_512(1, x);
  472. LOAD_KB_512(x, 0);
  473. MATMUL_512(0, 0); MATMUL_512(1, 0);
  474. }
  475. int remains = K - k;
  476. if (remains) {
  477. mask = (1UL << remains) - 1;
  478. MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x);
  479. MASK_LOAD_KB_512(x, 0);
  480. MATMUL_512(0, 0); MATMUL_512(1, 0);
  481. }
  482. STORE_REDUCE(0, 0); STORE_REDUCE(1, 0);
  483. }
  484. }
  485. for (; i < M; i += 1, mi += 1) {
  486. for (j = 0; j < n4; j += 4) {
  487. DECLARE_RESULT_512(0, 0);
  488. DECLARE_RESULT_512(0, 1);
  489. DECLARE_RESULT_512(0, 2);
  490. DECLARE_RESULT_512(0, 3);
  491. for (k = 0; k < k8; k += 8) {
  492. LOAD_KA_512(0, x);
  493. LOAD_KB_512(x, 0); LOAD_KB_512(x, 1); LOAD_KB_512(x, 2); LOAD_KB_512(x, 3);
  494. MATMUL_512(0, 0);
  495. MATMUL_512(0, 1);
  496. MATMUL_512(0, 2);
  497. MATMUL_512(0, 3);
  498. }
  499. int remains = K - k;
  500. if (remains) {
  501. mask = (1UL << remains) - 1;
  502. MASK_LOAD_KA_512(0, x);
  503. MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1); MASK_LOAD_KB_512(x, 2); MASK_LOAD_KB_512(x, 3);
  504. MATMUL_512(0, 0);
  505. MATMUL_512(0, 1);
  506. MATMUL_512(0, 2);
  507. MATMUL_512(0, 3);
  508. }
  509. STORE_REDUCE_N4(0);
  510. }
  511. for (; j < n2; j += 2) {
  512. DECLARE_RESULT_512(0, 0);
  513. DECLARE_RESULT_512(0, 1);
  514. for (k = 0; k < k8; k += 8) {
  515. LOAD_KA_512(0, x);
  516. LOAD_KB_512(x, 0); LOAD_KB_512(x, 1);
  517. MATMUL_512(0, 0);
  518. MATMUL_512(0, 1);
  519. }
  520. int remains = K - k;
  521. if (remains) {
  522. mask = (1UL << remains) - 1;
  523. MASK_LOAD_KA_512(0, x);
  524. MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1);
  525. MATMUL_512(0, 0);
  526. MATMUL_512(0, 1);
  527. }
  528. STORE_REDUCE(0, 0);
  529. STORE_REDUCE(0, 1);
  530. }
  531. for (; j < N; j += 1) {
  532. DECLARE_RESULT_512(0, 0);
  533. for (k = 0; k < k8; k += 8) {
  534. LOAD_KA_512(0, x);
  535. LOAD_KB_512(x, 0);
  536. MATMUL_512(0, 0);
  537. }
  538. int remains = K - k;
  539. if (remains) {
  540. mask = (1UL << remains) - 1;
  541. MASK_LOAD_KA_512(0, x);
  542. MASK_LOAD_KB_512(x, 0);
  543. MATMUL_512(0, 0);
  544. }
  545. STORE_REDUCE(0, 0);
  546. }
  547. }
  548. free(mbuf);
  549. }
  550. return 0;
  551. }
  552. #else
  553. #include "../generic/gemm_small_matrix_kernel_nn.c"
  554. #endif