Small Matrix: skylakex: add sgemm tn kernel
This commit is contained in:
Wangyang Guo
parent
ae3f5c737c
commit
642c393879
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@ -14,6 +14,8 @@ SGEMM_SMALL_K_NN = sgemm_small_kernel_nn_skylakex.c
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SGEMM_SMALL_K_B0_NN = sgemm_small_kernel_b0_nn_skylakex.c
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SGEMM_SMALL_K_NT = sgemm_small_kernel_nt_skylakex.c
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SGEMM_SMALL_K_B0_NT = sgemm_small_kernel_b0_nt_skylakex.c
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SGEMM_SMALL_K_TN = sgemm_small_kernel_tn_skylakex.c
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SGEMM_SMALL_K_B0_TN = sgemm_small_kernel_b0_tn_skylakex.c
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DGEMMKERNEL = dgemm_kernel_16x2_skylakex.c
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DTRMMKERNEL = dgemm_kernel_16x2_skylakex.c
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@ -0,0 +1,2 @@
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#define B0 1
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#include "./sgemm_small_kernel_tn_skylakex.c"
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@ -0,0 +1,316 @@
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/***************************************************************************
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Copyright (c) 2021, The OpenBLAS Project
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are
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met:
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1. Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in
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the documentation and/or other materials provided with the
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distribution.
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3. Neither the name of the OpenBLAS project nor the names of
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its contributors may be used to endorse or promote products
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derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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ARE DISCLAIMED. IN NO EVENT SHALL THE OPENBLAS PROJECT OR CONTRIBUTORS BE
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LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
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USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*****************************************************************************/
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#include <immintrin.h>
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#include "common.h"
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#include <stdio.h>
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#include <memory.h>
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#define DECLARE_RESULT_512(M, N) __m512 result##M##N = _mm512_setzero_ps()
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#define MATMUL_512(M, N) result##M##N = _mm512_fmadd_ps(Aval##M, Bval##N, result##M##N)
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#define LOAD_KA_512(M, N) __m512 Aval##M = _mm512_loadu_ps(&A[(i + M)*lda + k]);
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#define LOAD_KB_512(M, N) __m512 Bval##N = _mm512_loadu_ps(&B[(j + N)*ldb + k])
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#define MASK_LOAD_KA_512(M, N) __m512 Aval##M = _mm512_maskz_loadu_ps(mask, &A[(i + M)*lda + k])
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#define MASK_LOAD_KB_512(M, N) __m512 Bval##N = _mm512_maskz_loadu_ps(mask, &B[(j + N)*ldb + k])
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#define REDUCE_4(rr0, rr1, rr2, rr3) \
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__m512 r0, r1, r2, r3, t0, t1, t2, t3;\
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r0 = _mm512_unpacklo_ps(rr0, rr1); r1 = _mm512_unpackhi_ps(rr0, rr1); \
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r2 = _mm512_unpacklo_ps(rr2, rr3); r3 = _mm512_unpackhi_ps(rr2, rr3); \
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t0 = _mm512_shuffle_ps(r0, r2, _MM_SHUFFLE(1, 0, 1, 0)); t1 = _mm512_shuffle_ps(r0, r2, _MM_SHUFFLE(3, 2, 3, 2)); \
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t2 = _mm512_shuffle_ps(r1, r3, _MM_SHUFFLE(1, 0, 1, 0)); t3 = _mm512_shuffle_ps(r1, r3, _MM_SHUFFLE(3, 2, 3, 2)); \
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r0 = _mm512_add_ps(t0, t1); r1 = _mm512_add_ps(t2, t3); t0 = _mm512_add_ps(r0, r1); \
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__m128 s0, s1, s2, s3; \
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s0 = _mm512_extractf32x4_ps(t0, 0); s1 = _mm512_extractf32x4_ps(t0, 1); s2 = _mm512_extractf32x4_ps(t0, 2); s3 = _mm512_extractf32x4_ps(t0, 3); \
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s0 = _mm_maskz_add_ps(mask8, s0, s1); s2 = _mm_maskz_add_ps(mask8, s2, s3); s0 = _mm_maskz_add_ps(mask8, s0, s2); \
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s0 = _mm_maskz_mul_ps(mask8, alpha_128, s0);
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#define REDUCE_M4(N) REDUCE_4(result0##N, result1##N, result2##N, result3##N)
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#define REDUCE_N4(M) REDUCE_4(result##M##0, result##M##1, result##M##2, result##M##3)
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#if defined(B0)
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#define STORE_REDUCE(M, N) C[(j+N)*ldc + i + M] = alpha * _mm512_reduce_add_ps(result##M##N)
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#define STORE_M4(N, s0) _mm_mask_storeu_ps(&C[(j + N)*ldc + i], mask8, s0);
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#define STORE_N4(M, s0) _mm_i32scatter_ps(&C[j*ldc + i + M], vindex_n, s0, 4);
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#else
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#define STORE_REDUCE(M, N) C[(j+N)*ldc + i + M] = alpha * _mm512_reduce_add_ps(result##M##N) + beta * C[(j+N)*ldc + i + M]
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#define STORE_M4(N, s0) \
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asm("vfmadd231ps (%1), %2, %0": "+v"(s0):"r"(&C[(j + N)*ldc + i]), "v"(beta_128)); \
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_mm_mask_storeu_ps(&C[(j + N)*ldc + i], mask8, s0);
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#define STORE_N4(M, s0) \
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s0 = _mm_fmadd_ps(_mm_i32gather_ps(&C[j*ldc + i + M], vindex_n, 4), beta_128, s0); \
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_mm_i32scatter_ps(&C[j*ldc + i + M], vindex_n, s0, 4);
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#endif
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#define STORE_REDUCE_M4(N) {\
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REDUCE_M4(N) \
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STORE_M4(N, s0) \
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}
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#define STORE_REDUCE_N4(M) {\
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REDUCE_N4(M) \
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STORE_N4(M, s0) \
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}
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#if defined(B0)
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int CNAME(BLASLONG M, BLASLONG N, BLASLONG K, FLOAT * A, BLASLONG lda, FLOAT alpha, FLOAT * B, BLASLONG ldb, FLOAT * C, BLASLONG ldc)
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#else
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int CNAME(BLASLONG M, BLASLONG N, BLASLONG K, FLOAT * A, BLASLONG lda, FLOAT alpha, FLOAT * B, BLASLONG ldb, FLOAT beta, FLOAT * C, BLASLONG ldc)
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#endif
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{
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// column major
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BLASLONG i, j, k;
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BLASLONG m4 = M & ~3;
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BLASLONG m2 = M & ~1;
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BLASLONG n4 = N & ~3;
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BLASLONG n2 = N & ~1;
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BLASLONG k16 = K & ~15;
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__mmask16 mask;
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__mmask8 mask8 = 0xff; // just use to avoid SSE instruction
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__m128i vindex_n = _mm_set_epi32(ldc*3, ldc*2, ldc, 0);
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__m128 alpha_128 = _mm_broadcast_ss(&alpha);
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#if !defined(B0)
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__m128 beta_128 = _mm_broadcast_ss(&beta);
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#endif
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for (i = 0; i < m4; i += 4) {
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for (j = 0; j < n4; j += 4) {
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DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0); DECLARE_RESULT_512(2, 0); DECLARE_RESULT_512(3, 0);
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DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1); DECLARE_RESULT_512(2, 1); DECLARE_RESULT_512(3, 1);
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DECLARE_RESULT_512(0, 2); DECLARE_RESULT_512(1, 2); DECLARE_RESULT_512(2, 2); DECLARE_RESULT_512(3, 2);
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DECLARE_RESULT_512(0, 3); DECLARE_RESULT_512(1, 3); DECLARE_RESULT_512(2, 3); DECLARE_RESULT_512(3, 3);
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for (k = 0; k < k16; k += 16) {
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LOAD_KA_512(0, x); LOAD_KA_512(1, x); LOAD_KA_512(2, x); LOAD_KA_512(3, x);
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LOAD_KB_512(x, 0); LOAD_KB_512(x, 1); LOAD_KB_512(x, 2); LOAD_KB_512(x, 3);
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MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
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MATMUL_512(0, 1); MATMUL_512(1, 1); MATMUL_512(2, 1); MATMUL_512(3, 1);
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MATMUL_512(0, 2); MATMUL_512(1, 2); MATMUL_512(2, 2); MATMUL_512(3, 2);
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MATMUL_512(0, 3); MATMUL_512(1, 3); MATMUL_512(2, 3); MATMUL_512(3, 3);
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}
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int remains = K - k;
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if (remains) {
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mask = (1UL << remains) - 1;
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MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x); MASK_LOAD_KA_512(2, x); MASK_LOAD_KA_512(3, x);
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MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1); MASK_LOAD_KB_512(x, 2); MASK_LOAD_KB_512(x, 3);
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MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
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MATMUL_512(0, 1); MATMUL_512(1, 1); MATMUL_512(2, 1); MATMUL_512(3, 1);
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MATMUL_512(0, 2); MATMUL_512(1, 2); MATMUL_512(2, 2); MATMUL_512(3, 2);
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MATMUL_512(0, 3); MATMUL_512(1, 3); MATMUL_512(2, 3); MATMUL_512(3, 3);
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}
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STORE_REDUCE_M4(0); STORE_REDUCE_M4(1); STORE_REDUCE_M4(2); STORE_REDUCE_M4(3);
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}
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for (; j < n2; j += 2) {
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DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0); DECLARE_RESULT_512(2, 0); DECLARE_RESULT_512(3, 0);
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DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1); DECLARE_RESULT_512(2, 1); DECLARE_RESULT_512(3, 1);
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for (k = 0; k < k16; k += 16) {
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LOAD_KA_512(0, x); LOAD_KA_512(1, x); LOAD_KA_512(2, x); LOAD_KA_512(3, x);
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LOAD_KB_512(x, 0); LOAD_KB_512(x, 1);
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MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
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MATMUL_512(0, 1); MATMUL_512(1, 1); MATMUL_512(2, 1); MATMUL_512(3, 1);
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}
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int remains = K - k;
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if (remains) {
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mask = (1UL << remains) - 1;
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MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x); MASK_LOAD_KA_512(2, x); MASK_LOAD_KA_512(3, x);
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MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1);
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MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
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MATMUL_512(0, 1); MATMUL_512(1, 1); MATMUL_512(2, 1); MATMUL_512(3, 1);
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}
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STORE_REDUCE_M4(0); STORE_REDUCE_M4(1);
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}
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for (; j < N; j += 1) {
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DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0); DECLARE_RESULT_512(2, 0); DECLARE_RESULT_512(3, 0);
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for (k = 0; k < k16; k += 16) {
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LOAD_KA_512(0, x); LOAD_KA_512(1, x); LOAD_KA_512(2, x); LOAD_KA_512(3, x);
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LOAD_KB_512(x, 0);
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MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
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}
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int remains = K - k;
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if (remains) {
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mask = (1UL << remains) - 1;
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MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x); MASK_LOAD_KA_512(2, x); MASK_LOAD_KA_512(3, x);
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MASK_LOAD_KB_512(x, 0);
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MATMUL_512(0, 0); MATMUL_512(1, 0); MATMUL_512(2, 0); MATMUL_512(3, 0);
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}
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STORE_REDUCE_M4(0);
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}
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}
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for (; i < m2; i += 2) {
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for (j = 0; j < n4; j += 4) {
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DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0);
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DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1);
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DECLARE_RESULT_512(0, 2); DECLARE_RESULT_512(1, 2);
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DECLARE_RESULT_512(0, 3); DECLARE_RESULT_512(1, 3);
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for (k = 0; k < k16; k += 16) {
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LOAD_KA_512(0, x); LOAD_KA_512(1, x);
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LOAD_KB_512(x, 0); LOAD_KB_512(x, 1); LOAD_KB_512(x, 2); LOAD_KB_512(x, 3);
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MATMUL_512(0, 0); MATMUL_512(1, 0);
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MATMUL_512(0, 1); MATMUL_512(1, 1);
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MATMUL_512(0, 2); MATMUL_512(1, 2);
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MATMUL_512(0, 3); MATMUL_512(1, 3);
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}
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int remains = K - k;
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if (remains) {
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mask = (1UL << remains) - 1;
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MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x);
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MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1); MASK_LOAD_KB_512(x, 2); MASK_LOAD_KB_512(x, 3);
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MATMUL_512(0, 0); MATMUL_512(1, 0);
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MATMUL_512(0, 1); MATMUL_512(1, 1);
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MATMUL_512(0, 2); MATMUL_512(1, 2);
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MATMUL_512(0, 3); MATMUL_512(1, 3);
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}
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STORE_REDUCE_N4(0); STORE_REDUCE_N4(1);
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}
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for (; j < n2; j += 2) {
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DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0);
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DECLARE_RESULT_512(0, 1); DECLARE_RESULT_512(1, 1);
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for (k = 0; k < k16; k += 16) {
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LOAD_KA_512(0, x); LOAD_KA_512(1, x);
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LOAD_KB_512(x, 0); LOAD_KB_512(x, 1);
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MATMUL_512(0, 0); MATMUL_512(1, 0);
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MATMUL_512(0, 1); MATMUL_512(1, 1);
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}
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int remains = K - k;
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if (remains) {
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mask = (1UL << remains) - 1;
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MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x);
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MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1);
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MATMUL_512(0, 0); MATMUL_512(1, 0);
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MATMUL_512(0, 1); MATMUL_512(1, 1);
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}
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STORE_REDUCE(0, 0); STORE_REDUCE(1, 0);
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STORE_REDUCE(0, 1); STORE_REDUCE(1, 1);
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}
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for (; j < N; j += 1) {
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DECLARE_RESULT_512(0, 0); DECLARE_RESULT_512(1, 0);
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for (k = 0; k < k16; k += 16) {
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LOAD_KA_512(0, x); LOAD_KA_512(1, x);
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LOAD_KB_512(x, 0);
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MATMUL_512(0, 0); MATMUL_512(1, 0);
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}
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int remains = K - k;
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if (remains) {
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mask = (1UL << remains) - 1;
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MASK_LOAD_KA_512(0, x); MASK_LOAD_KA_512(1, x);
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MASK_LOAD_KB_512(x, 0);
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MATMUL_512(0, 0); MATMUL_512(1, 0);
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}
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STORE_REDUCE(0, 0); STORE_REDUCE(1, 0);
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}
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}
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for (; i < M; i += 1) {
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for (j = 0; j < n4; j += 4) {
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DECLARE_RESULT_512(0, 0);
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DECLARE_RESULT_512(0, 1);
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DECLARE_RESULT_512(0, 2);
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DECLARE_RESULT_512(0, 3);
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for (k = 0; k < k16; k += 16) {
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LOAD_KA_512(0, x);
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LOAD_KB_512(x, 0); LOAD_KB_512(x, 1); LOAD_KB_512(x, 2); LOAD_KB_512(x, 3);
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MATMUL_512(0, 0);
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MATMUL_512(0, 1);
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MATMUL_512(0, 2);
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MATMUL_512(0, 3);
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}
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int remains = K - k;
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if (remains) {
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mask = (1UL << remains) - 1;
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MASK_LOAD_KA_512(0, x);
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MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1); MASK_LOAD_KB_512(x, 2); MASK_LOAD_KB_512(x, 3);
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MATMUL_512(0, 0);
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MATMUL_512(0, 1);
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MATMUL_512(0, 2);
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MATMUL_512(0, 3);
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}
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STORE_REDUCE_N4(0);
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}
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for (; j < n2; j += 2) {
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DECLARE_RESULT_512(0, 0);
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DECLARE_RESULT_512(0, 1);
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for (k = 0; k < k16; k += 16) {
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LOAD_KA_512(0, x);
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LOAD_KB_512(x, 0); LOAD_KB_512(x, 1);
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MATMUL_512(0, 0);
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MATMUL_512(0, 1);
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}
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int remains = K - k;
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if (remains) {
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mask = (1UL << remains) - 1;
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MASK_LOAD_KA_512(0, x);
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MASK_LOAD_KB_512(x, 0); MASK_LOAD_KB_512(x, 1);
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MATMUL_512(0, 0);
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MATMUL_512(0, 1);
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}
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STORE_REDUCE(0, 0);
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STORE_REDUCE(0, 1);
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}
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for (; j < N; j += 1) {
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DECLARE_RESULT_512(0, 0);
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for (k = 0; k < k16; k += 16) {
|
||||
LOAD_KA_512(0, x);
|
||||
LOAD_KB_512(x, 0);
|
||||
|
||||
MATMUL_512(0, 0);
|
||||
}
|
||||
int remains = K - k;
|
||||
if (remains) {
|
||||
mask = (1UL << remains) - 1;
|
||||
MASK_LOAD_KA_512(0, x);
|
||||
MASK_LOAD_KB_512(x, 0);
|
||||
|
||||
MATMUL_512(0, 0);
|
||||
}
|
||||
STORE_REDUCE(0, 0);
|
||||
}
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
Loading…
Reference in New Issue