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sgemm128x128.cpp
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sgemm128x128.cpp
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#include <assert.h>
#include <stdio.h>
#include <algorithm>
#include <stdlib.h>
#include <unistd.h>
#include<iostream>
#include "hip/hip_runtime.h"
#define HIP_ASSERT(x) (assert((x)==hipSuccess))
#define M 8192
#define N 8192
#define K (8192)
#define NUM (M*K)
#define THREADS_PER_BLOCK_X 16
#define THREADS_PER_BLOCK_Y 16
#define THREADS_PER_BLOCK_Z 1
__global__ void sgemm_nt_128x128(const float* a, const float* b, float* __restrict__ c, const int m, const int n, const int k ){
int wk_tile_m = hipBlockIdx_y * 128 ;
int wk_tile_n = hipBlockIdx_x * 128 ;
int thread_tile_m = wk_tile_m + hipThreadIdx_y * 8;
int thread_tile_n = wk_tile_n + hipThreadIdx_x * 8;
float sum[8][8];
for(int i=0; i < 8; i++){
for(int j=0; j < 8; j++){
sum[i][j] = 0;
}
}
for(int kk=0; kk < k; kk++) {
float adata[8];
float bdata[8];
for(int i=0; i < 8; i++) {
adata[i] = a[( thread_tile_m + i)* k +kk];
}
for(int i=0; i < 8; i++) {
bdata[i] = b[( thread_tile_n + i) *k +kk];
}
for(int i=0; i <8; i++){
for(int j=0; j <8; j++){
sum[i][j] += adata[i] * bdata[j];
}
}
}
//store
for(int i=0; i < 8; i++){
for(int j=0; j < 8; j++){
c[ (thread_tile_m + i) * n + thread_tile_n + j] = sum[i][j];
}
}
}
__global__ void sgemm_nt_128x128_unroll2(const float* a, const float* b, float* __restrict__ c, const int m, const int n, const int k ){
int wk_tile_m = hipBlockIdx_y * 128 ;
int wk_tile_n = hipBlockIdx_x * 128 ;
int thread_tile_m = wk_tile_m + hipThreadIdx_y * 8;
int thread_tile_n = wk_tile_n + hipThreadIdx_x * 8;
float sum[8][8];
for(int i=0; i < 8; i++){
for(int j=0; j < 8; j++){
sum[i][j] = 0;
}
}
for(int kk=0; kk < k; kk+=2) {
float adata[8*2];
float bdata[8*2];
for(int i=0; i < 8; i++) {
adata[i] = a[( thread_tile_m + i)* k +kk];
adata[i+8] = a[( thread_tile_m + i)* k +kk+1];
}
for(int i=0; i < 8; i++) {
bdata[i] = b[( thread_tile_n + i) *k +kk];
bdata[i+8] = b[( thread_tile_n + i) *k +kk+1];
}
for(int i=0; i <8; i++){
for(int j=0; j <8; j++){
sum[i][j] += adata[i] * bdata[j];
sum[i][j] += adata[i+8] * bdata[j+8];
}
}
}
//store
for(int i=0; i < 8; i++){
for(int j=0; j < 8; j++){
c[ (thread_tile_m + i) * n + thread_tile_n + j] = sum[i][j];
}
}
}
__global__ void sgemm_nt_128x128_lds_unroll8(const float* a, const float* b, float* __restrict__ c, const int m, const int n, const int k ){
int wk_tile_m = hipBlockIdx_y * 128 ;
int wk_tile_n = hipBlockIdx_x * 128 ;
int thread_tile_m = wk_tile_m + hipThreadIdx_y * 8;
int thread_tile_n = wk_tile_n + hipThreadIdx_x * 8;
int local_id = hipThreadIdx_y * 16 + hipThreadIdx_x;
int local_tile_m, local_tile_n;
local_tile_m = hipThreadIdx_x * 8;
local_tile_n = hipThreadIdx_y * 8;
float sum[8][8];
__shared__ float a_shared[128*8];
__shared__ float b_shared[128*8];
for(int i=0; i < 8; i++){
for(int j=0; j < 8; j++){
sum[i][j] = 0;
}
}
float* ptr = NULL;
int local_write = 0;
//first 128 threads load A, next 128 thread load B
if(local_id < 128)
{
ptr = (float*)(a + (wk_tile_m + local_id) * k);
local_write = local_id;
}
else
{
ptr = (float*)(b + (wk_tile_n + local_id-128) * k);
local_write = local_id -128;
}
//unroll 8
for(int kk=0; kk < k; kk+=8) {
//stroed into LDS
if(local_id < 128)
{
for(int i=0; i < 8; i++)
{
a_shared[i*128 + local_write] = ptr[i+kk];
}
}
else
{
for(int i=0; i < 8; i++)
{
b_shared[i*128 + local_write] = ptr[i+kk];
}
}
__syncthreads();
//8x8x8 FMAs
for(int s=0; s < 8; s++)
{ float adata[8];
float bdata[8];
for(int t=0; t < 8; t++){
adata[t] = a_shared[local_tile_m + t + s * 128];
bdata[t] = b_shared[local_tile_n + t + s * 128];
}
for(int i=0; i <8; i++){
for(int j=0; j <8; j++){
sum[i][j] += adata[i] * bdata[j];
}
}
}
}
//store
for(int i=0; i < 8; i++){
for(int j=0; j < 8; j++){
c[ (thread_tile_m + i) * n + thread_tile_n + j] = sum[i][j];
}
}
}
#define UNROLL_SIZE 16
__global__ void sgemm_nt_128x128_lds_unroll16(const float* a, const float* b, float* __restrict__ c, const int m, const int n, const int k ){
int wk_tile_m = hipBlockIdx_y * 128 ;
int wk_tile_n = hipBlockIdx_x * 128 ;
int thread_tile_m = wk_tile_m + hipThreadIdx_y * 8;
int thread_tile_n = wk_tile_n + hipThreadIdx_x * 8;
int local_id = hipThreadIdx_y * 16 + hipThreadIdx_x;
int local_tile_m, local_tile_n;
local_tile_m = hipThreadIdx_x * 8;
local_tile_n = hipThreadIdx_y * 8;
float sum[8][8];
__shared__ float a_shared[128*UNROLL_SIZE];
__shared__ float b_shared[128*UNROLL_SIZE];
for(int i=0; i < 8; i++){
for(int j=0; j < 8; j++){
sum[i][j] = 0;
}
}
float* ptr = NULL;
int local_write = 0;
//first 128 threads load A, next 128 thread load B
if(local_id < 128)
{
ptr = (float*)(a + (wk_tile_m + local_id) * k);
local_write = local_id;
}
else
{
ptr = (float*)(b + (wk_tile_n + local_id-128) * k);
local_write = local_id -128;
}
//unroll 8
for(int kk=0; kk < k; kk+=UNROLL_SIZE) {
//stroed into LDS
if(local_id < 128)
{
for(int i=0; i < UNROLL_SIZE; i++)
{
a_shared[i*128 + local_write] = ptr[i+kk];
}
}
else
{
for(int i=0; i < UNROLL_SIZE; i++)
{
b_shared[i*128 + local_write] = ptr[i+kk];
}
}
__syncthreads();
//8x16x8 FMAs
#pragma unroll 2
for(int s=0; s < UNROLL_SIZE; s++)
{ float adata[8];
float bdata[8];
for(int t=0; t < 8; t++){
adata[t] = a_shared[local_tile_m + t + s * 128];
bdata[t] = b_shared[local_tile_n + t + s * 128];
}
for(int i=0; i <8; i++){
for(int j=0; j <8; j++){
sum[i][j] += adata[i] * bdata[j];
}
}
}
}
//store
for(int i=0; i < 8; i++){
for(int j=0; j < 8; j++){
c[ (thread_tile_m + i) * n + thread_tile_n + j] = sum[i][j];
}
}
}
__global__ void sgemm_nt_128x128_lds_unroll8_double_buf(const float* a, const float* b, float* __restrict__ c, const int m, const int n, const int k ){
int wk_tile_m = hipBlockIdx_y * 128 ;
int wk_tile_n = hipBlockIdx_x * 128 ;
int thread_tile_m = wk_tile_m + hipThreadIdx_y * 8;
int thread_tile_n = wk_tile_n + hipThreadIdx_x * 8;
int local_id = hipThreadIdx_y * 16 + hipThreadIdx_x;
int local_tile_m, local_tile_n;
local_tile_m = hipThreadIdx_x * 8;
local_tile_n = hipThreadIdx_y * 8;
float sum[8][8];
__shared__ float a_shared[128*8];
__shared__ float b_shared[128*8];
for(int i=0; i < 8; i++){
for(int j=0; j < 8; j++){
sum[i][j] = 0;
}
}
float* ptr_a = NULL;
float* ptr_b = NULL;
int local_write = 0;
//First Fetch
//128x4 data scattered into 256 threads
//every threads fetch DWORDX2
//local memory store 128 data
if(local_id < 128 )
{
ptr_a = (float*)(a + (wk_tile_m + local_id ) * k);
ptr_b = (float*)(b + (wk_tile_n + local_id ) * k);
local_write = local_id;
}
else
{
//offset K + 2 == 2,3
ptr_a = (float*)(a + (wk_tile_m + (local_id &0x7f) ) * k + 2 );
ptr_b = (float*)(b + (wk_tile_n + (local_id &0x7f) ) * k + 2 );
local_write = local_id + 128*2;
}
//fetch offset 0,1,2,3
a_shared[local_write ] = *(ptr_a + 0);
a_shared[local_write +128 ] = *(ptr_a + 1);
b_shared[local_write ] = *(ptr_b + 0);
b_shared[local_write +128 ] = *(ptr_b + 1);
//unroll 8
for(int kk=0; kk < k-8; kk+=8) {
__syncthreads();
//fetch offset: kk+ 4,5,6,7
a_shared[local_write + 128 *4 ] = *(ptr_a + kk + 4);
a_shared[local_write + 128 *4 + 128 ] = *(ptr_a + kk + 5);
b_shared[local_write + 128 *4] = *(ptr_b + kk + 4);
b_shared[local_write + 128 *4 + 128 ] = *(ptr_b + kk + 5);
//8x8x4 FMAs
for(int s=0; s < 4; s++)
{ float adata[8];
float bdata[8];
for(int t=0; t < 8; t++){
adata[t] = a_shared[local_tile_m + t + s * 128];
bdata[t] = b_shared[local_tile_n + t + s * 128];
}
for(int i=0; i <8; i++){
for(int j=0; j <8; j++){
sum[i][j] += adata[i] * bdata[j];
}
}
}
__syncthreads();
//fetch offset kk+ 8,9,10,11
a_shared[local_write + 128 *4 ] = *(ptr_a + kk + 8);
a_shared[local_write + 128 *4 + 128 ] = *(ptr_a + kk + 9);
b_shared[local_write + 128 *4] = *(ptr_b + kk + 8);
b_shared[local_write + 128 *4 + 128 ] = *(ptr_b + kk + 9);
for(int s=4; s < 8; s++)
{ float adata[8];
float bdata[8];
for(int t=0; t < 8; t++){
adata[t] = a_shared[local_tile_m + t + s * 128];
bdata[t] = b_shared[local_tile_n + t + s * 128];
}
for(int i=0; i <8; i++){
for(int j=0; j <8; j++){
sum[i][j] += adata[i] * bdata[j];
}
}
}
}
//last 8X
{
int kk= k - 8;
__syncthreads();
//fetch kk offset+ 4,5,6,7
a_shared[local_write + 128 *4 ] = *(ptr_a + kk + 4);
a_shared[local_write + 128 *4 + 128 ] = *(ptr_a + kk + 5);
b_shared[local_write + 128 *4] = *(ptr_b + kk + 4);
b_shared[local_write + 128 *4 + 128 ] = *(ptr_b + kk + 5);
//8x8x4 FMAs
for(int s=0; s < 4; s++)
{ float adata[8];
float bdata[8];
for(int t=0; t < 8; t++){
adata[t] = a_shared[local_tile_m + t + s * 128];
bdata[t] = b_shared[local_tile_n + t + s * 128];
}
for(int i=0; i <8; i++){
for(int j=0; j <8; j++){
sum[i][j] += adata[i] * bdata[j];
}
}
}
__syncthreads();
for(int s=4; s < 8; s++)
{ float adata[8];
float bdata[8];
for(int t=0; t < 8; t++){
adata[t] = a_shared[local_tile_m + t + s * 128];
bdata[t] = b_shared[local_tile_n + t + s * 128];
}
for(int i=0; i <8; i++){
for(int j=0; j <8; j++){
sum[i][j] += adata[i] * bdata[j];
}
}
}
}
//store
for(int i=0; i < 8; i++){
for(int j=0; j < 8; j++){
c[ (thread_tile_m + i) * n + thread_tile_n + j] = sum[i][j];
}
}
}
/*
Matrix A: M * K
Matrix B: Transposed N * K
Matrix C: M * N
Workgroup TILE SIZE: 96 * 128
Thread TILE SIZE: 6 * 8
Deal with Right , bottom
*/
__global__ void sgemm_nt_96x128(const float* a, const float* b, float* __restrict__ c, const int m, const int n, const int k ){
int wk_tile_m = hipBlockIdx_y * 96 ;
int wk_tile_n = hipBlockIdx_x * 128 ;
int thread_tile_m = wk_tile_m + hipThreadIdx_y * 6;
int thread_tile_n = wk_tile_n + hipThreadIdx_x * 8;
float sum[6][8];
#if 1
for(int i=0; i < 6; i++){
for(int j=0; j < 8; j++){
sum[i][j] = 0;
}
}
#else
for(int i=0; i < 6; i++){
for(int j=0; j < 8; j++){
sum[i][j] = 0;
}
}
#endif
for(int kk=0; kk < k; kk++) {
float adata[6];
float bdata[8];
for(int i=0; i < 6; i++) {
if( (thread_tile_m + i) < m){
adata[i] = a[( thread_tile_m + i)* k +kk];
}
else
{
adata[i] = 0;
}
}
for(int i=0; i < 8; i++) {
if(( thread_tile_n + i) < n){
bdata[i] = b[( thread_tile_n + i) *k +kk];
}
else{
bdata[i] = 0;
}
}
for(int i=0; i <6; i++){
for(int j=0; j <8; j++){
sum[i][j] += adata[i] * bdata[j];
}
}
}
//store
for(int i=0; i < 6; i++){
for(int j=0; j < 8; j++){
if((thread_tile_m + i) < m && (thread_tile_n+ j) < n){
c[ (thread_tile_m + i) * n + thread_tile_n + j] = sum[i][j];
}
}
}
}
using namespace std;
int main() {
float* hostA;
float* hostB;
float* hostC;
float* deviceA;
float* deviceB;
float* deviceC;
hipDeviceProp_t devProp;
hipGetDeviceProperties(&devProp, 0);
cout << " System minor " << devProp.minor << endl;
cout << " System major " << devProp.major << endl;
cout << " agent prop name " << devProp.name << endl;
cout << "hip Device prop succeeded " << endl ;
int i;
int errors;
hostA = (float*)malloc(NUM * sizeof(float));
hostB = (float*)malloc(NUM * sizeof(float));
hostC = (float*)malloc(NUM * sizeof(float));
// initialize the input data
for (i = 0; i < NUM; i++) {
hostA[i] = (float)sin(i);
hostB[i] = (float)cos(i);
}
HIP_ASSERT(hipMalloc((void**)&deviceA, NUM * sizeof(float)));
HIP_ASSERT(hipMalloc((void**)&deviceB, NUM * sizeof(float)));
HIP_ASSERT(hipMalloc((void**)&deviceC, NUM * sizeof(float)));
HIP_ASSERT(hipMemcpy(deviceA, hostA, NUM*sizeof(float), hipMemcpyHostToDevice));
HIP_ASSERT(hipMemcpy(deviceB, hostB, NUM*sizeof(float), hipMemcpyHostToDevice));
hipEvent_t start, stop;
hipEventCreate(&start);
hipEventCreate(&stop);
float eventMs = 1.0f;
#if 1
for(int mnk=128;mnk<M+1; mnk+=128)
{
hipLaunchKernelGGL(sgemm_nt_128x128,
dim3(mnk/128, mnk/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, mnk, mnk, mnk);
hipEventRecord(start, NULL);
for (int i = 0; i < 1; i++)
{
hipLaunchKernelGGL(sgemm_nt_128x128,
dim3(mnk/128, mnk/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, mnk, mnk, mnk);
}
hipEventRecord(stop, NULL);
hipEventSynchronize(stop);
hipEventElapsedTime(&eventMs, start, stop);
//printf("elapsed time:%f\n", eventMs);
double ips = ( double)(mnk)*( double)mnk*( double)mnk /1024/1024/1024 * 1;
ips = ips / ( double)eventMs * 1000 ;
printf("sgemm_nt_128x128 plain [mnk=%d]==> %lf G FMAs/s, ms: %f\n", mnk, ips, eventMs);
usleep (100 *1000);
}
for(int mnk=128;mnk<M+1; mnk+=128)
{
hipLaunchKernelGGL(sgemm_nt_128x128_unroll2,
dim3(mnk/128, mnk/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, mnk, mnk, mnk);
hipEventRecord(start, NULL);
for (int i = 0; i < 1; i++)
{
hipLaunchKernelGGL(sgemm_nt_128x128_unroll2,
dim3(mnk/128, mnk/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, mnk, mnk, mnk);
}
hipEventRecord(stop, NULL);
hipEventSynchronize(stop);
hipEventElapsedTime(&eventMs, start, stop);
//printf("elapsed time:%f\n", eventMs);
double ips = ( double)(mnk)*( double)mnk*( double)mnk /1024/1024/1024 * 1;
ips = ips / ( double)eventMs * 1000 ;
printf("sgemm_nt_128x128 unroll2 [mnk=%d] ==> %lf G FMAs/s, ms: %f\n",mnk, ips, eventMs);
usleep (100 *1000);
}
for(int mnk=128;mnk<M+1; mnk+=128)
{
hipLaunchKernelGGL(sgemm_nt_128x128_lds_unroll8,
dim3(mnk/128, mnk/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, mnk, mnk, mnk);
hipEventRecord(start, NULL);
for (int i = 0; i < 1; i++)
{
hipLaunchKernelGGL(sgemm_nt_128x128_lds_unroll8,
dim3(mnk/128, mnk/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, mnk, mnk, mnk);
}
hipEventRecord(stop, NULL);
hipEventSynchronize(stop);
hipEventElapsedTime(&eventMs, start, stop);
//printf("elapsed time:%f\n", eventMs);
double ips = ( double)(mnk)*( double)mnk*( double)mnk /1024/1024/1024*1;
ips = ips / ( double)eventMs * 1000 ;
printf("sgemm_nt_128x128_lds_unroll8:[%d x %d % d ] ==> %lf G FMAs/s, ms: %f\n", mnk,mnk,mnk, ips, eventMs);
usleep (100 *1000);
}
#endif
for(int mnk=128;mnk<M+1; mnk+=128)
{
hipLaunchKernelGGL(sgemm_nt_128x128_lds_unroll16,
dim3(mnk/128, mnk/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, mnk, mnk, mnk);
hipEventRecord(start, NULL);
for (int i = 0; i < 1; i++)
{
hipLaunchKernelGGL(sgemm_nt_128x128_lds_unroll16,
dim3(mnk/128, mnk/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, mnk, mnk, mnk);
}
hipEventRecord(stop, NULL);
hipEventSynchronize(stop);
hipEventElapsedTime(&eventMs, start, stop);
//printf("elapsed time:%f\n", eventMs);
double ips = ( double)(mnk)*( double)mnk*( double)mnk /1024/1024/1024*1;
ips = ips / ( double)eventMs * 1000 ;
printf("sgemm_nt_128x128_lds_unroll16:[%d x %d % d ] ==> %lf G FMAs/s, ms: %f\n", mnk,mnk,mnk, ips, eventMs);
usleep (100 *1000);
}
for(int mnk=128;mnk<M+1; mnk+=128)
{
hipLaunchKernelGGL(sgemm_nt_128x128_lds_unroll8_double_buf,
dim3(mnk/128, mnk/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, mnk, mnk, mnk);
hipEventRecord(start, NULL);
for (int i = 0; i < 1; i++)
{
hipLaunchKernelGGL(sgemm_nt_128x128_lds_unroll8_double_buf,
dim3(mnk/128, mnk/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, mnk, mnk, mnk);
}
hipEventRecord(stop, NULL);
hipEventSynchronize(stop);
hipEventElapsedTime(&eventMs, start, stop);
//printf("elapsed time:%f\n", eventMs);
double ips = ( double)(mnk)*( double)mnk*( double)mnk /1024/1024/1024;
ips = ips / ( double)eventMs * 1000 ;
printf("sgemm_nt_128x128_lds_unroll8_double_buf:[%d x %d % d ] ==> %lf G FMAs/s, ms: %f\n", mnk,mnk,mnk, ips, eventMs);
}
if(1)
{
hipLaunchKernelGGL(sgemm_nt_96x128,
dim3((M+96-1)/96, (N+128-1)/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, M, N, K);
hipEventRecord(start, NULL);
for (int i = 0; i < 1; i++)
{
hipLaunchKernelGGL(sgemm_nt_96x128,
dim3((M+96-1)/96, (N+128-1)/128 ),
dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
0, 0,
deviceA ,deviceB ,deviceC, M, N, K);
}
hipEventRecord(stop, NULL);
hipEventSynchronize(stop);
hipEventElapsedTime(&eventMs, start, stop);
//printf("elapsed time:%f\n", eventMs);
double ips = ( double)(M)*( double)N*( double)K /1024/1024/1024;
ips = ips / ( double)eventMs * 1000 ;
printf("sgemm_nt_96x128 ==> %lf G FMAs/s, ms: %f\n", ips, eventMs);
}
HIP_ASSERT(hipMemcpy(hostC, deviceC, NUM*sizeof(float), hipMemcpyDeviceToHost));
// verify the results
HIP_ASSERT(hipFree(deviceA));
HIP_ASSERT(hipFree(deviceB));
HIP_ASSERT(hipFree(deviceC));
free(hostA);
free(hostB);
free(hostC);
//hipResetDefaultAccelerator();
return errors;
}