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| #include <stdio.h>
#include <stdlib.h>
#include <float.h>
#include <cuda_runtime.h>
#define OFFSET(row, col, ld) ((row) * (ld) + (col))
void cpuSgemm(float *a, float *b, float *c, const int M, const int N, const int K);
__global__ void naiveSgemm(
float * __restrict__ a, float * __restrict__ b, float * __restrict__ c,
const int M, const int N, const int K);
float testError(void);
float testPerformance(
void (*gpuSgemm) (float *, float *, float *, const int, const int, const int),
dim3 gridDim, dim3 blockDim, const int M, const int N, const int K, const int repeat);
int main(void)
{
float max_error = testError();
printf("Max Error = %f\n", max_error);
printf("\nKernal = naiveSgemm\n");
const int TESTNUM = 15;
const int M_list[TESTNUM] = {128, 192, 256, 384, 512, 768, 1024, 1536, 2048, 3072, 4096, 6144, 8192, 12288, 16384};
const int N_list[TESTNUM] = {128, 192, 256, 384, 512, 768, 1024, 1536, 2048, 3072, 4096, 6144, 8192, 12288, 16384};
const int K_list[TESTNUM] = {1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024};
const int outer_repeat = 10, inner_repeat = 1;
const int BM = 32, BN = 32;
void (*gpuSgemm) (float *, float *, float *, const int, const int, const int) = naiveSgemm;
for(int i = 0; i < TESTNUM; ++i)
{
const int M = M_list[i], N = N_list[i], K = K_list[i];
dim3 blockDim(BN, BM);
dim3 gridDim((N + BN - 1) / BN, (M + BM - 1) / BM);
double max_sec = 0.0;
double min_sec = DBL_MAX;
double total_sec = 0.0;
for(int j = 0; j < outer_repeat; ++j)
{
double this_sec = testPerformance(gpuSgemm, gridDim, blockDim, M, N, K, inner_repeat);
max_sec = max(max_sec, this_sec);
min_sec = min(min_sec, this_sec);
total_sec += this_sec;
}
double avg_sec = total_sec / outer_repeat / inner_repeat;
double avg_Gflops = ((double)M) * N * K * 2.0 / 1024.0 / 1024.0 / 1024.0 / avg_sec;
printf("M N K = %6d %6d %6d, Time = %12.8lf %12.8lf %12.8lf s, AVG Performance = %10.4lf Glops\n", M, N, K, min_sec, avg_sec, max_sec, avg_Gflops);
}
return 0;
}
void cpuSgemm(float *a, float *b, float *c, const int M, const int N, const int K)
{
for(int i = 0; i < M; ++i)
{
for(int j = 0; j < N; ++j)
{
float psum = 0.0;
for(int k = 0; k < K; ++k) psum += a[OFFSET(i, k, K)] * b[OFFSET(k, j, N)];
c[OFFSET(i, j, N)] = psum;
}
}
}
__global__ void naiveSgemm(
float * __restrict__ a, float * __restrict__ b, float * __restrict__ c,
const int M, const int N, const int K){
int i = blockIdx.y * blockDim.y + threadIdx.y;
int j = blockIdx.x * blockDim.x + threadIdx.x;
if(i < M && j < N)
{
float psum = 0.0;
#pragma unroll
for(int k = 0; k < K; ++k) psum += a[OFFSET(i, k, K)] * b[OFFSET(k, j, N)];
c[OFFSET(i, j, N)] = psum;
}
}
float testError(void)
{
const int BM = 32, BN = 32;
const int M = 512, N = 512, K = 512;
dim3 blockDim(BN, BM);
dim3 gridDim((N + BN - 1) / BN, (M + BM - 1) / BM);
size_t size_a = M * K * sizeof(float);
size_t size_b = K * N * sizeof(float);
size_t size_c = M * N * sizeof(float);
float *h_a, *h_b, *h_c, *d_a, *d_b, *d_c, *h_d_c;
h_a = (float *)malloc(size_a);
h_b = (float *)malloc(size_b);
h_c = (float *)malloc(size_c);
cudaMalloc(&d_a, size_a);
cudaMalloc(&d_b, size_b);
cudaMalloc(&d_c, size_c);
h_d_c = (float *)malloc(size_c);
srand(time(0));
for(int i = 0; i < M * K; ++i) h_a[i] = rand() / float(RAND_MAX);
for(int i = 0; i < K * N; ++i) h_b[i] = rand() / float(RAND_MAX);
cpuSgemm(h_a, h_b, h_c, M, N, K);
cudaMemcpy(d_a, h_a, size_a, cudaMemcpyHostToDevice);
cudaMemcpy(d_b, h_b, size_b, cudaMemcpyHostToDevice);
naiveSgemm<<<gridDim, blockDim>>>(d_a, d_b, d_c, M, N, K);
cudaMemcpy(h_d_c, d_c, size_c, cudaMemcpyDeviceToHost);
float max_error = 0.0;
for(int i = 0; i < M * N; ++i)
{
float this_error = fabs(h_d_c[i] - h_c[i]);
if(max_error != max_error || this_error != this_error) max_error = -NAN;
else max_error = max(max_error, this_error);
}
free(h_a);
free(h_b);
free(h_c);
cudaFree(d_a);
cudaFree(d_b);
cudaFree(d_c);
free(h_d_c);
return max_error;
}
float testPerformance(
void (*gpuSgemm) (float *, float *, float *, const int, const int, const int),
dim3 gridDim, dim3 blockDim, const int M, const int N, const int K, const int repeat){
size_t size_a = M * K * sizeof(float);
size_t size_b = K * N * sizeof(float);
size_t size_c = M * N * sizeof(float);
float *d_a, *d_b, *d_c;
cudaMalloc(&d_a, size_a);
cudaMalloc(&d_b, size_b);
cudaMalloc(&d_c, size_c);
cudaEvent_t start, end;
cudaEventCreate(&start);
cudaEventCreate(&end);
cudaEventRecord(start);
for(int i = 0; i < repeat; ++i) gpuSgemm<<<gridDim, blockDim>>>(d_a, d_b, d_c, M, N, K);
cudaEventRecord(end);
cudaEventSynchronize(end);
float msec, sec;
cudaEventElapsedTime(&msec, start, end);
sec = msec / 1000.0 / repeat;
cudaFree(d_a);
cudaFree(d_b);
cudaFree(d_c);
return sec;
}
|
