From 6e1d5b45de988bb795c4c505f22f2170a78b7746 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Tue, 20 Jan 2015 06:06:18 +0000
Subject: [PATCH] fast sort of working
---
src/gemm.c | 206 ++++++++++++++++++++++++++++++++++++++++++--------
1 files changed, 171 insertions(+), 35 deletions(-)
diff --git a/src/gemm.c b/src/gemm.c
index cc882d5..8394991 100644
--- a/src/gemm.c
+++ b/src/gemm.c
@@ -104,7 +104,10 @@
#include "opencl.h"
#include <math.h>
-//#include <clBLAS.h>
+
+#ifdef CLBLAS
+#include <clBLAS.h>
+#endif
#define STR_HELPER(x) #x
#define STR(x) STR_HELPER(x)
@@ -159,30 +162,87 @@
return gemm_kernel;
}
+#define TILE 64
+#define TILE_K 16
+#define WPT 8
+#define THREADS (TILE*TILE)/(WPT*WPT)
+
+cl_kernel get_gemm_nn_fast_kernel()
+{
+ static int init = 0;
+ static cl_kernel gemm_kernel;
+ if(!init){
+ gemm_kernel = get_kernel("src/gemm_fast.cl", "gemm_nn_fast", "-D TILE=" STR(TILE)
+ " -cl-nv-verbose "
+ " -D TILE_K=" STR(TILE_K)
+ " -D WPT=" STR(WPT)
+ " -D THREADS=" STR(THREADS));
+ init = 1;
+ }
+ return gemm_kernel;
+}
+
void gemm_ongpu(int TA, int TB, int M, int N, int K, float ALPHA,
cl_mem A_gpu, int lda,
cl_mem B_gpu, int ldb,
float BETA,
cl_mem C_gpu, int ldc)
{
-/*
- cl_setup();
- cl_command_queue queue = cl.queue;
- cl_event event;
- cl.error = clblasSgemm(clblasRowMajor, TA?clblasTrans:clblasNoTrans, TB?clblasTrans:clblasNoTrans,M, N, K,ALPHA, A_gpu, 0, lda,B_gpu, 0, ldb,BETA, C_gpu, 0, ldc,1, &queue, 0, NULL, &event);
- */
-
gemm_ongpu_offset(TA, TB, M, N, K, ALPHA, A_gpu, 0, lda, B_gpu, 0, ldb, BETA, C_gpu, 0, ldc);
}
+void gemm_ongpu_fast(int TA, int TB, int M, int N, int K, float ALPHA,
+ cl_mem A_gpu, int lda,
+ cl_mem B_gpu, int ldb,
+ float BETA,
+ cl_mem C_gpu, int ldc)
+{
+ int a_off = 0;
+ int b_off = 0;
+ int c_off = 0;
+ //printf("gpu: %d %d %d %d %d\n",TA, TB, M, N, K);
+ cl_kernel gemm_kernel = get_gemm_nn_fast_kernel();
+ cl_command_queue queue = cl.queue;
+
+ cl_uint i = 0;
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(TA), (void*) &TA);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(TB), (void*) &TB);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(M), (void*) &M);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(N), (void*) &N);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(K), (void*) &K);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(ALPHA), (void*) &ALPHA);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(A_gpu), (void*) &A_gpu);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(a_off), (void*) &a_off);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(lda), (void*) &lda);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(B_gpu), (void*) &B_gpu);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(b_off), (void*) &b_off);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(ldb), (void*) &ldb);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(BETA), (void*) &BETA);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(C_gpu), (void*) &C_gpu);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(c_off), (void*) &c_off);
+ cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(ldc), (void*) &ldc);
+ check_error(cl);
+
+ const size_t global_size[] = {THREADS*((N-1)/TILE + 1), (M-1)/TILE + 1};
+ const size_t local_size[] = {THREADS, 1};
+
+ cl.error = clEnqueueNDRangeKernel(queue, gemm_kernel, 2, 0, global_size, local_size, 0, 0, 0);
+ check_error(cl);
+}
+
void gemm_ongpu_offset(int TA, int TB, int M, int N, int K, float ALPHA,
cl_mem A_gpu, int a_off, int lda,
cl_mem B_gpu, int b_off, int ldb,
float BETA,
cl_mem C_gpu, int c_off, int ldc)
{
+#ifdef CLBLAS
+ cl_command_queue queue = cl.queue;
+ cl_event event;
+ cl.error = clblasSgemm(clblasRowMajor, TA?clblasTrans:clblasNoTrans, TB?clblasTrans:clblasNoTrans,M, N, K,ALPHA, A_gpu, a_off, lda,B_gpu, b_off, ldb,BETA, C_gpu, c_off, ldc,1, &queue, 0, NULL, &event);
+ check_error(cl);
+#else
//printf("gpu: %d %d %d %d %d\n",TA, TB, M, N, K);
- cl_setup();
cl_kernel gemm_kernel = get_gemm_kernel();
if(!TA && !TB) gemm_kernel = get_gemm_nn_kernel();
if(!TA && TB) gemm_kernel = get_gemm_nt_kernel();
@@ -211,8 +271,9 @@
const size_t global_size[] = {ceil((float)N/BLOCK)*BLOCK, ceil((float)M/BLOCK)*BLOCK};
const size_t local_size[] = {BLOCK, BLOCK};
- clEnqueueNDRangeKernel(queue, gemm_kernel, 2, 0, global_size, local_size, 0, 0, 0);
+ cl.error = clEnqueueNDRangeKernel(queue, gemm_kernel, 2, 0, global_size, local_size, 0, 0, 0);
check_error(cl);
+#endif
}
void gemm_gpu(int TA, int TB, int M, int N, int K, float ALPHA,
@@ -221,7 +282,6 @@
float BETA,
float *C, int ldc)
{
- cl_setup();
cl_context context = cl.context;
cl_command_queue queue = cl.queue;
@@ -243,7 +303,9 @@
size, C, &cl.error);
check_error(cl);
- gemm_ongpu(TA, TB, M, N, K, ALPHA, A_gpu, lda, B_gpu, ldb, BETA, C_gpu, ldc);
+ // TODO
+ //gemm_ongpu(TA, TB, M, N, K, ALPHA, A_gpu, lda, B_gpu, ldb, BETA, C_gpu, ldc);
+ gemm_ongpu_fast(TA, TB, M, N, K, ALPHA, A_gpu, lda, B_gpu, ldb, BETA, C_gpu, ldc);
clEnqueueReadBuffer(queue, C_gpu, CL_TRUE, 0, size, C, 0, 0, 0);
check_error(cl);
@@ -284,7 +346,7 @@
void time_ongpu(int TA, int TB, int m, int k, int n)
{
- int iter = 128;
+ int iter = 10;
float *a = random_matrix(m,k);
float *b = random_matrix(k,n);
@@ -302,7 +364,7 @@
for(i = 0; i<iter; ++i){
gemm_ongpu(TA,TB,m,n,k,1,a_cl,lda,b_cl,ldb,1,c_cl,n);
}
- double flop = m*n*(2.*k+3.)*iter;
+ double flop = ((double)m)*n*(2.*k + 2.)*iter;
double gflop = flop/pow(10., 9);
end = clock();
double seconds = sec(end-start);
@@ -315,6 +377,39 @@
free(c);
}
+void time_ongpu_fast(int TA, int TB, int m, int k, int n)
+{
+ int iter = 10;
+ float *a = random_matrix(m,k);
+ float *b = random_matrix(k,n);
+
+ int lda = (!TA)?k:m;
+ int ldb = (!TB)?n:k;
+
+ float *c = random_matrix(m,n);
+
+ cl_mem a_cl = cl_make_array(a, m*k);
+ cl_mem b_cl = cl_make_array(b, k*n);
+ cl_mem c_cl = cl_make_array(c, m*n);
+
+ int i;
+ clock_t start = clock(), end;
+ for(i = 0; i<iter; ++i){
+ gemm_ongpu_fast(TA,TB,m,n,k,1,a_cl,lda,b_cl,ldb,1,c_cl,n);
+ }
+ double flop = ((double)m)*n*(2.*k + 2.)*iter;
+ double gflop = flop/pow(10., 9);
+ end = clock();
+ double seconds = sec(end-start);
+ printf("Fast Multiplication %dx%d * %dx%d, TA=%d, TB=%d: %lf s, %lf GFLOPS\n",m,k,k,n, TA, TB, seconds, gflop/seconds);
+ clReleaseMemObject(a_cl);
+ clReleaseMemObject(b_cl);
+ clReleaseMemObject(c_cl);
+ free(a);
+ free(b);
+ free(c);
+}
+
void test_gpu_accuracy(int TA, int TB, int m, int k, int n)
{
srand(0);
@@ -334,8 +429,10 @@
int i;
//pm(m,k,b);
gemm_gpu(TA,TB,m,n,k,1,a,lda,b,ldb,1,c_gpu,n);
+ //printf("GPU\n");
//pm(m, n, c_gpu);
gemm_cpu(TA,TB,m,n,k,1,a,lda,b,ldb,1,c,n);
+ //printf("\n\nCPU\n");
//pm(m, n, c);
double sse = 0;
for(i = 0; i < m*n; ++i) {
@@ -352,32 +449,71 @@
void test_gpu_blas()
{
/*
- test_gpu_accuracy(0,0,10,576,75);
+ test_gpu_accuracy(0,0,10,576,75);
- test_gpu_accuracy(0,0,17,10,10);
- test_gpu_accuracy(1,0,17,10,10);
- test_gpu_accuracy(0,1,17,10,10);
- test_gpu_accuracy(1,1,17,10,10);
+ test_gpu_accuracy(0,0,17,10,10);
+ test_gpu_accuracy(1,0,17,10,10);
+ test_gpu_accuracy(0,1,17,10,10);
+ test_gpu_accuracy(1,1,17,10,10);
- test_gpu_accuracy(0,0,1000,10,100);
- test_gpu_accuracy(1,0,1000,10,100);
- test_gpu_accuracy(0,1,1000,10,100);
- test_gpu_accuracy(1,1,1000,10,100);
+ test_gpu_accuracy(0,0,1000,10,100);
+ test_gpu_accuracy(1,0,1000,10,100);
+ test_gpu_accuracy(0,1,1000,10,100);
+ test_gpu_accuracy(1,1,1000,10,100);
+ */
+
+ test_gpu_accuracy(0,0,128,128,128);
+
+/*
+ time_ongpu(0,0,64,2916,363);
+ time_ongpu_fast(0,0,64,2916,363);
+ time_ongpu(0,0,64,2916,363);
+ time_ongpu_fast(0,0,64,2916,363);
+ time_ongpu(0,0,64,2916,363);
+ time_ongpu_fast(0,0,64,2916,363);
+ time_ongpu(0,0,192,729,1600);
+ time_ongpu_fast(0,0,192,729,1600);
+ time_ongpu(0,0,384,196,1728);
+ time_ongpu_fast(0,0,384,196,1728);
+ time_ongpu(0,0,256,196,3456);
+ time_ongpu_fast(0,0,256,196,3456);
+ time_ongpu(0,0,256,196,2304);
+ time_ongpu_fast(0,0,256,196,2304);
+ time_ongpu(0,0,128,4096,12544);
+ time_ongpu_fast(0,0,128,4096,12544);
+ time_ongpu(0,0,128,4096,4096);
+ time_ongpu_fast(0,0,128,4096,4096);
*/
- test_gpu_accuracy(0,0,131,4093,1199);
- test_gpu_accuracy(0,1,131,4093,1199);
- test_gpu_accuracy(1,0,131,4093,1199);
- test_gpu_accuracy(1,1,131,4093,1199);
+// time_ongpu(1,0,2304,196,256);
+// time_ongpu_fast(1,0,2304,196,256);
+// time_ongpu(0,1,256,2304,196);
+// time_ongpu_fast(0,1,256,2304,196);
- time_ongpu(0,0,1024,1024,1024);
- time_ongpu(0,1,1024,1024,1024);
- time_ongpu(1,0,1024,1024,1024);
- time_ongpu(1,1,1024,1024,1024);
+ time_ongpu(0,0,2048,2048,2048);
+ time_ongpu_fast(0,0,2048,2048,2048);
+ time_ongpu(0,0,2048,2048,2048);
+ time_ongpu_fast(0,0,2048,2048,2048);
+ time_ongpu(0,0,2048,2048,2048);
+ time_ongpu_fast(0,0,2048,2048,2048);
- time_ongpu(0,0,128,4096,1200);
- time_ongpu(0,1,128,4096,1200);
- time_ongpu(1,0,128,4096,1200);
- time_ongpu(1,1,128,4096,1200);
+ /*
+ test_gpu_accuracy(0,0,131,4093,1199);
+ test_gpu_accuracy(0,1,131,4093,1199);
+ test_gpu_accuracy(1,0,131,4093,1199);
+ test_gpu_accuracy(1,1,131,4093,1199);
+ */
+ /*
+
+ time_ongpu(0,0,1024,1024,1024);
+ time_ongpu(0,1,1024,1024,1024);
+ time_ongpu(1,0,1024,1024,1024);
+ time_ongpu(1,1,1024,1024,1024);
+
+ time_ongpu(0,0,128,4096,1200);
+ time_ongpu(0,1,128,4096,1200);
+ time_ongpu(1,0,128,4096,1200);
+ time_ongpu(1,1,128,4096,1200);
+ */
/*
time_gpu_random_matrix(0,0,1000,1000,100);
--
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