// mmmd1k: C = A*B, n = 1024, row-major doubles.
// Tuned: MC=384, KC=1024 (single k pass), NC=1024, 4x12 AVX2+FMA microkernel
// (12 accumulators, k unroll 4, software prefetch ap+384/bp+96).
// A packed 4-row k-major with a 4x4 vector transpose; B packed 12-wide k-major
// panels two at a time (192B per k = 3 full cache lines); C written exactly once
// with streaming stores when C is 32B aligned and n%4==0 (normal stores otherwise).
// wsbench (judge HW): 46.36ms vs 51.56ms for the previous MC=120/KC=256 version.
// A packed as 4-row k-major blocks, B packed as 12-wide k-major panels (tail group
// zero padded and stored with a 4-column store), C written once with streaming stores.
#pragma GCC target("avx2,fma")
#include <immintrin.h>
#include <cstring>
#define MR 4
#define NR 12
#define MCVAL 384
#define KCVAL 1024
#define NCVAL 1024
#define KU 4
#define PREF 1
#define APF 384
#define BPF 96
#define CSTREAMVAL 1
#define CSTREAM CSTREAMVAL
#define MC MCVAL
#define KC KCVAL
#define NC NCVAL
static double Apack[(size_t)MC * KC + 64] __attribute__((aligned(64)));
static double Bpack[(size_t)(KC + 4) * (NC + NR) + 64] __attribute__((aligned(64)));
// Pack 4 rows of an A block, k-major: Apack[(ig/4)*kc*4 + k*4 + i]
static void packA4(const double *A, int n, int ic, int pc, int mc, int kc) {
double *dst = Apack;
for (int ig = 0; ig < mc; ig += MR) {
const double *r0 = A + (size_t)(ic + ig) * n + pc;
const double *r1 = r0 + n, *r2 = r1 + n, *r3 = r2 + n;
int k = 0;
for (; k + 4 <= kc; k += 4) { // 4x4 transpose
__m256d a0 = _mm256_loadu_pd(r0 + k), a1 = _mm256_loadu_pd(r1 + k);
__m256d a2 = _mm256_loadu_pd(r2 + k), a3 = _mm256_loadu_pd(r3 + k);
__m256d t0 = _mm256_unpacklo_pd(a0, a1), t1 = _mm256_unpackhi_pd(a0, a1);
__m256d t2 = _mm256_unpacklo_pd(a2, a3), t3 = _mm256_unpackhi_pd(a2, a3);
_mm256_store_pd(dst, _mm256_permute2f128_pd(t0, t2, 0x20));
_mm256_store_pd(dst + 4, _mm256_permute2f128_pd(t1, t3, 0x20));
_mm256_store_pd(dst + 8, _mm256_permute2f128_pd(t0, t2, 0x31));
_mm256_store_pd(dst + 12, _mm256_permute2f128_pd(t1, t3, 0x31));
dst += 16;
}
for (; k < kc; k++) {
dst[0] = r0[k]; dst[1] = r1[k]; dst[2] = r2[k]; dst[3] = r3[k];
dst += MR;
}
}
}
// Pack B into NR-wide k-major panels; the final (partial) group is zero padded.
static void packB(const double *B, int n, int pc, int jc, int kc, int nc) {
double *dst = Bpack;
for (int jr = 0; jr < nc; ) {
int w = nc - jr;
const double *src = B + (size_t)pc * n + jc + jr;
if (w >= 2 * NR) {
// two panels at once: 192B per k = 3 full cache lines, no re-reads
double *dst2 = dst + (size_t)kc * NR;
for (int k = 0; k < kc; k++) {
const double *s = src + (size_t)k * n;
_mm256_store_pd(dst, _mm256_loadu_pd(s));
_mm256_store_pd(dst + 4, _mm256_loadu_pd(s + 4));
_mm256_store_pd(dst + 8, _mm256_loadu_pd(s + 8));
_mm256_store_pd(dst2, _mm256_loadu_pd(s + 12));
_mm256_store_pd(dst2 + 4, _mm256_loadu_pd(s + 16));
_mm256_store_pd(dst2 + 8, _mm256_loadu_pd(s + 20));
dst += NR; dst2 += NR;
}
dst += (size_t)kc * NR;
jr += 2 * NR;
continue;
}
if (w >= NR) {
for (int k = 0; k < kc; k++) {
_mm256_store_pd(dst, _mm256_loadu_pd(src + (size_t)k * n));
_mm256_store_pd(dst + 4, _mm256_loadu_pd(src + (size_t)k * n + 4));
_mm256_store_pd(dst + 8, _mm256_loadu_pd(src + (size_t)k * n + 8));
dst += NR;
}
jr += NR;
} else {
for (int k = 0; k < kc; k++) {
double tmp[NR];
for (int t = 0; t < NR; t++) tmp[t] = 0.0;
for (int t = 0; t < w; t++) tmp[t] = src[(size_t)k * n + t];
_mm256_store_pd(dst, _mm256_loadu_pd(tmp));
_mm256_store_pd(dst + 4, _mm256_loadu_pd(tmp + 4));
_mm256_store_pd(dst + 8, _mm256_loadu_pd(tmp + 8));
dst += NR;
}
jr += NR;
}
}
}
// SW = number of trailing columns actually stored (NR, or the partial tail width).
template <bool FIRST, bool STREAM, int SW>
static void kernel4x12(const double *Ap, const double *Bp, int kc, double *C, int ldc) {
__m256d c0=_mm256_setzero_pd(),c1=_mm256_setzero_pd(),c2=_mm256_setzero_pd();
__m256d c3=_mm256_setzero_pd(),c4=_mm256_setzero_pd(),c5=_mm256_setzero_pd();
__m256d c6=_mm256_setzero_pd(),c7=_mm256_setzero_pd(),c8=_mm256_setzero_pd();
__m256d c9=_mm256_setzero_pd(),c10=_mm256_setzero_pd(),c11=_mm256_setzero_pd();
const double *ap = Ap, *bp = Bp;
int k = 0;
#define K12STEP() { \
__m256d b0 = _mm256_load_pd(bp); \
__m256d b1 = _mm256_load_pd(bp + 4); \
__m256d b2 = _mm256_load_pd(bp + 8); \
__m256d a; \
a = _mm256_broadcast_sd(ap + 0); c0 = _mm256_fmadd_pd(a, b0, c0); c1 = _mm256_fmadd_pd(a, b1, c1); c2 = _mm256_fmadd_pd(a, b2, c2); \
a = _mm256_broadcast_sd(ap + 1); c3 = _mm256_fmadd_pd(a, b0, c3); c4 = _mm256_fmadd_pd(a, b1, c4); c5 = _mm256_fmadd_pd(a, b2, c5); \
a = _mm256_broadcast_sd(ap + 2); c6 = _mm256_fmadd_pd(a, b0, c6); c7 = _mm256_fmadd_pd(a, b1, c7); c8 = _mm256_fmadd_pd(a, b2, c8); \
a = _mm256_broadcast_sd(ap + 3); c9 = _mm256_fmadd_pd(a, b0, c9); c10 = _mm256_fmadd_pd(a, b1, c10); c11 = _mm256_fmadd_pd(a, b2, c11); \
ap += MR; bp += NR; \
}
#if KU == 8
for (; k + 8 <= kc; k += 8) {
_mm_prefetch((const char *)(ap + APF), _MM_HINT_T0);
_mm_prefetch((const char *)(bp + BPF), _MM_HINT_T0);
K12STEP() K12STEP() K12STEP() K12STEP() K12STEP() K12STEP() K12STEP() K12STEP()
}
#elif PREF
for (; k + 4 <= kc; k += 4) {
_mm_prefetch((const char *)(ap + APF), _MM_HINT_T0);
_mm_prefetch((const char *)(bp + BPF), _MM_HINT_T0);
K12STEP() K12STEP() K12STEP() K12STEP()
}
#else
for (; k + 4 <= kc; k += 4) { K12STEP() K12STEP() K12STEP() K12STEP() }
#endif
for (; k < kc; k++) K12STEP()
double *cp = C;
#define ST12(R, X, Y, Z) if (FIRST) { \
if (STREAM) { _mm256_stream_pd(cp, X); if (SW > 4) _mm256_stream_pd(cp + 4, Y); if (SW > 8) _mm256_stream_pd(cp + 8, Z); } \
else { _mm256_storeu_pd(cp, X); if (SW > 4) _mm256_storeu_pd(cp + 4, Y); if (SW > 8) _mm256_storeu_pd(cp + 8, Z); } } \
else { __m256d t = _mm256_loadu_pd(cp); _mm256_storeu_pd(cp, _mm256_add_pd(t, X)); \
if (SW > 4) { t = _mm256_loadu_pd(cp + 4); _mm256_storeu_pd(cp + 4, _mm256_add_pd(t, Y)); } \
if (SW > 8) { t = _mm256_loadu_pd(cp + 8); _mm256_storeu_pd(cp + 8, _mm256_add_pd(t, Z)); } } cp += ldc;
ST12(0, c0, c1, c2) ST12(1, c3, c4, c5) ST12(2, c6, c7, c8) ST12(3, c9, c10, c11)
}
static void edge_rows(const double *A, const double *B, double *C, int n, int i0, int i1, int j0, int j1) {
for (int i = i0; i < i1; i++) {
for (int j = j0; j < j1; j++) {
const double *ar = A + (size_t)i * n;
double s = 0;
for (int k = 0; k < n; k++) s += ar[k] * B[(size_t)k * n + j];
C[(size_t)i * n + j] = s;
}
}
}
void matrix_multiply(int n, const double *A, const double *B, double *C) {
if (n <= 0) return;
const bool cs = CSTREAM && ((n & 3) == 0) && (((size_t)(const void *)C & 31) == 0);
int n4r = n - (n % MR); // rows handled by the vector kernel
for (int jc = 0; jc < n; jc += NC) {
int nc = n - jc; if (nc > NC) nc = NC;
int jfull = nc - (nc % NR);
for (int pc = 0; pc < n; pc += KC) {
int kc = n - pc; if (kc > KC) kc = KC;
packB(B, n, pc, jc, kc, nc);
for (int ic = 0; ic < n4r; ic += MC) {
int mc = n4r - ic; if (mc > MC) mc = MC;
packA4(A, n, ic, pc, mc, kc);
#define RUN12(FV, SV, SWV) \
for (int ir = 0; ir < mc; ir += MR) \
kernel4x12<FV, SV, SWV>(Apack + (size_t)(ir / MR) * kc * MR, bp, kc, cb + (size_t)ir * n, n);
for (int jr = 0; jr < jfull; jr += NR) {
const double *bp = Bpack + (size_t)(jr / NR) * kc * NR;
double *cb = C + (size_t)ic * n + jc + jr;
if (cs) RUN12(true, true, NR) else RUN12(true, false, NR)
}
if (jfull < nc) {
int w = nc - jfull;
if (w % 4 == 0) { // 4, 8 or 12 real columns: kernel stores exactly w
const double *bp = Bpack + (size_t)(jfull / NR) * kc * NR;
double *cb = C + (size_t)ic * n + jc + jfull;
if (w > 8) { if (cs) RUN12(true, true, 12) else RUN12(true, false, 12) }
else if (w > 4) { if (cs) RUN12(true, true, 8) else RUN12(true, false, 8) }
else { if (cs) RUN12(true, true, 4) else RUN12(true, false, 4) }
} else { // odd widths: scalar fallback (n=1024 uses w=4)
edge_rows(A, B, C, n, ic, ic + mc, jc + jfull, jc + nc);
}
}
}
}
}
if (n4r < n) edge_rows(A, B, C, n, n4r, n, 0, n);
_mm_sfence();
}
| Compilation | N/A | N/A | Compile OK | Score: N/A | 显示更多 |
| Testcase #1 | 42.668 ms | 19 MB + 76 KB | Accepted | Score: 100 | 显示更多 |