| | |
| | | |
| | | #include "opencl.h" |
| | | #include <math.h> |
| | | |
| | | #ifdef CLBLAS |
| | | #include <clBLAS.h> |
| | | #endif |
| | | |
| | | #define STR_HELPER(x) #x |
| | | #define STR(x) STR_HELPER(x) |
| | |
| | | static int init = 0; |
| | | static cl_kernel gemm_kernel; |
| | | if(!init){ |
| | | gemm_kernel = get_kernel("src/gemm_new.cl", "gemm_nt", "-D BLOCK=" STR(BLOCK) ); |
| | | gemm_kernel = get_kernel("src/gemm.cl", "gemm_nt", "-D BLOCK=" STR(BLOCK) ); |
| | | init = 1; |
| | | } |
| | | return gemm_kernel; |
| | |
| | | static int init = 0; |
| | | static cl_kernel gemm_kernel; |
| | | if(!init){ |
| | | gemm_kernel = get_kernel("src/gemm_new.cl", "gemm_tn", "-D BLOCK=" STR(BLOCK) ); |
| | | gemm_kernel = get_kernel("src/gemm.cl", "gemm_tn", "-D BLOCK=" STR(BLOCK) ); |
| | | init = 1; |
| | | } |
| | | return gemm_kernel; |
| | |
| | | static int init = 0; |
| | | static cl_kernel gemm_kernel; |
| | | if(!init){ |
| | | gemm_kernel = get_kernel("src/gemm_new.cl", "gemm_nn", "-D BLOCK=" STR(BLOCK) ); |
| | | gemm_kernel = get_kernel("src/gemm.cl", "gemm_nn", "-D BLOCK=" STR(BLOCK) ); |
| | | init = 1; |
| | | } |
| | | return gemm_kernel; |
| | | } |
| | | |
| | | void gemm_ongpu_new(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); |
| | | void gemm_ongpu_old(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); |
| | | |
| | | 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_new(TA, TB, M, N, K, ALPHA, A_gpu, lda, B_gpu, ldb, BETA, C_gpu, ldc); |
| | | 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_new(int TA, int TB, int M, int N, int K, float ALPHA, |
| | | cl_mem A_gpu, int lda, |
| | | cl_mem B_gpu, int ldb, |
| | | 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 ldc) |
| | | 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(); |
| | |
| | | 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[] = {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_ongpu_old(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) |
| | | { |
| | | //printf("gpu: %d %d %d %d %d\n",TA, TB, M, N, K); |
| | | cl_setup(); |
| | | cl_kernel gemm_kernel = get_gemm_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(lda), (void*) &lda); |
| | | cl.error = clSetKernelArg(gemm_kernel, i++, sizeof(B_gpu), (void*) &B_gpu); |
| | | 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(ldc), (void*) &ldc); |
| | | check_error(cl); |
| | | |
| | | 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); |
| | | check_error(cl); |
| | | } |
| | | |
| | | |
| | | void gemm_gpu(int TA, int TB, int M, int N, int K, float ALPHA, |
| | | float *A, int lda, |
| | | float *B, int ldb, |
| | | float BETA, |
| | | float *C, int ldc) |
| | | { |
| | | cl_setup(); |
| | | cl_context context = cl.context; |
| | | cl_command_queue queue = cl.queue; |
| | | |
| | |
| | | |
| | | 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); |
| | | |
| | |
| | | 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 = m*n*k*iter; |
| | | double gflop = flop/pow(10., 9); |
| | | end = clock(); |
| | | double seconds = sec(end-start); |
| | |
| | | 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); |
| | | */ |
| | | time_ongpu(0,0,512,256,1152); |
| | | time_ongpu(0,0,128,1200,4096); |
| | | time_ongpu(0,0,128,1200,4096); |
| | | time_ongpu(0,0,128,1200,4096); |
| | | |
| | | time_ongpu(0,1,128,1200,4096); |
| | | time_ongpu(1,0,1200,4096,128); |
| | | time_ongpu(1,0,4096,1200,128); |
| | | time_ongpu(1,0,1200,128,4096); |
| | | |
| | | test_gpu_accuracy(0,0,512,256,1152); |
| | | 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(0,0,1024,1024,1024); |
| | | 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_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); |