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-rw-r--r--cuda-kernels/v4p_genericMatrixMultiply.cu387
1 files changed, 0 insertions, 387 deletions
diff --git a/cuda-kernels/v4p_genericMatrixMultiply.cu b/cuda-kernels/v4p_genericMatrixMultiply.cu
deleted file mode 100644
index 42283c4..0000000
--- a/cuda-kernels/v4p_genericMatrixMultiply.cu
+++ /dev/null
@@ -1,387 +0,0 @@
-#include <stdio.h>
-#include <curand.h>
-#include<stdlib.h>
-
-// Define some error checking macros.
-#define cudaErrCheck(stat) { cudaErrCheck_((stat), __FILE__, __LINE__); }
-void cudaErrCheck_(cudaError_t stat, const char *file, int line) {
- if (stat != cudaSuccess) {
- fprintf(stderr, "CUDA Error: %s %s %d\n", cudaGetErrorString(stat), file, line);
- }
-}
-
-#define curandErrCheck(stat) { curandErrCheck_((stat), __FILE__, __LINE__); }
-void curandErrCheck_(curandStatus_t stat, const char *file, int line) {
- if (stat != CURAND_STATUS_SUCCESS) {
- fprintf(stderr, "cuRand Error: %d %s %d\n", stat, file, line);
- }
-}
-
-#include <mma.h>
-using namespace nvcuda;
-
-// Must be multiples of 16 for wmma code to work
-#define MATRIX_M (SIZE)
-#define MATRIX_N (SIZE)
-#define MATRIX_K (SIZE)
-
-
-// The only dimensions currently supported by WMMA
-const int WMMA_M = 16;
-const int WMMA_N = 16;
-const int WMMA_K = 16;
-
-
-
-__global__ void vp_example(int *a, int *b, int *c, int M, int N, int K ) {
- // Leading dimensions. Packed with no transpositions.
- int lda = M;
- int ldb = K;
- int ldc = M;
-
- // Tile using a 2D grid
- int warpM = (blockIdx.x * blockDim.x + threadIdx.x) / warpSize;
- int warpN = (blockIdx.y * blockDim.y + threadIdx.y);
-
- // Declare the fragments
- int a_frag[8];
- int b_frag[8];
- int c_frag[8];
- int acc_frag[8];
-
- acc_frag[0]=0;
- acc_frag[1]=0;
- acc_frag[2]=0;
- acc_frag[3]=0;
- acc_frag[4]=0;
- acc_frag[5]=0;
- acc_frag[6]=0;
- acc_frag[7]=0;
-
- // Loop over k
- for (int i = 0; i < K; i += WMMA_K) {
- int aRow = warpM * WMMA_M;
- int aCol = i;
-
- int bRow = i;
- int bCol = warpN * WMMA_N;
-
- // Bounds checking
- if (aRow < M && aCol < K && bRow < K && bCol < N) {
- // Load the inputs
- // vp::load_matrix_sync(a_frag, a + aRow * lda+ aCol , lda);
- asm("/*");
- asm("CPTX_BEGIN");
- asm("vp.load.a.sync.row.m16n16k16.s32 {%0,%1,%2,%3,%4,%5,%6,%7},[%8],%9;" :
- "=r"(a_frag[0]), "=r"(a_frag[1]),"=r"(a_frag[2]),"=r"(a_frag[3]),
- "=r"(a_frag[4]),"=r"(a_frag[5]),"=r"(a_frag[6]),"=r"(a_frag[7]):
- "l"(a+aRow*lda+aCol),"r"(lda)
- );
- asm("CPTX_END");
- asm("*/");
- //vp::load_matrix_sync(b_frag, b + bRow * ldb+ bCol , ldb);
- asm("/*");
- asm("CPTX_BEGIN");
- asm("vp.load.b4.sync.row.m16n16k16.s32 {%0},[%1],%2;" :
- "=r"(b_frag[0]):
- "l"(b+bRow*ldb/8+bCol/8),"r"(ldb)
- );
- asm("CPTX_END");
- asm("*/");
-
- // Perform the matrix multiplication
- //vp::mma_sync(acc_frag, a_frag, b_frag, acc_frag);
- asm("/*");
- asm("CPTX_BEGIN");
- asm("vp.mma4.sync.row.row.m16n16k16.s32 {%0, %1, %2, %3, %4, %5, %6, %7}, {%8, %9, %10, %11, %12, %13, %14, %15}, {%16}, {%17, %18, %19, %20, %21, %22, %23, %24};" :
- "=r"(acc_frag[0]), "=r"(acc_frag[1]),"=r"(acc_frag[2]),"=r"(acc_frag[3]),
- "=r"(acc_frag[4]),"=r"(acc_frag[5]),"=r"(acc_frag[6]),"=r"(acc_frag[7]):
- "r"(a_frag[0]),"r"(a_frag[1]),"r"(a_frag[2]),"r"(a_frag[3]),
- "r"(a_frag[4]),"r"(a_frag[5]),"r"(a_frag[6]),"r"(a_frag[7]),
- "r"(b_frag[0]),
- "r"(acc_frag[0]),"r"(acc_frag[1]),"r"(acc_frag[2]),"r"(acc_frag[3]),
- "r"(acc_frag[4]),"r"(acc_frag[5]),"r"(acc_frag[6]),"r"(acc_frag[7])
- );
- asm("CPTX_END");
- asm("*/");
-
- }
- }
-
- // Load in the current value of c, scale it by beta, and add this our result scaled by alpha
- int cRow = warpM * WMMA_M;
- int cCol = warpN * WMMA_N;
-
- if (cRow < M && cCol < N) {
- //vp::load_matrix_sync(c_frag, c + cRow*ldc + cCol , ldc, wmma::mem_row_major);
- asm("/*");
- asm("CPTX_BEGIN");
- asm("vp.load.c.sync.row.m16n16k16.s32 {%0,%1,%2,%3,%4,%5,%6,%7},[%8],%9;" :
- "=r"(c_frag[0]), "=r"(c_frag[1]),"=r"(c_frag[2]),"=r"(c_frag[3]),
- "=r"(c_frag[4]),"=r"(c_frag[5]),"=r"(c_frag[6]),"=r"(c_frag[7]):
- "l"(c+cRow*ldc+cCol),"r"(ldc)
- );
- asm("CPTX_END");
- asm("*/");
-
-
- for(int i=0; i < 8; i++) {
- c_frag[i] = acc_frag[i] + c_frag[i];
- }
-
- // Store the output
- //vp::store_matrix_sync(c + cRow *ldc + cCol , c_frag, ldc, wmma::mem_row_major);
- asm("/*");
- asm("CPTX_BEGIN");
- asm("vp.store.d.sync.row.m16n16k16.s32 [%0], {%1,%2,%3,%4,%5,%6,%7,%8},%9;" :
- :"l"(c+cRow*ldc+cCol),
- "r"(c_frag[0]), "r"(c_frag[1]),"r"(c_frag[2]),"r"(c_frag[3]),
- "r"(c_frag[4]),"r"(c_frag[5]),"r"(c_frag[6]),"r"(c_frag[7]),
- "r"(ldc)
- );
- asm("CPTX_END");
- asm("*/");
- }
-}
-
-__global__ void convertFp32ToFp16 (half *out, float *in, int n) {
- int idx = blockDim.x * blockIdx.x + threadIdx.x;
- if (idx < n) {
- out[idx] = in[idx];
- }
-}
-__global__ void convertFp16ToFp32 (float *out, half *in, int n) {
- int idx = blockDim.x * blockIdx.x + threadIdx.x;
- if (idx < n) {
- out[idx] = in[idx];
- }
-}
-
-__global__ void convertInt32ToInt4 (int *out, int *in, int n) {
- int idx = blockDim.x * blockIdx.x + threadIdx.x;
- if (idx < n/8) {
- out[idx] =(in[8*idx]&0xf)|(in[8*idx+1]&0xf)<<4|(in[8*idx+2]&0xf)<<8|(in[8*idx+3]&0xf)<<12|
- (in[8*idx+4]&0xf)<<16|(in[8*idx+5]&0xf)<<20|(in[8*idx+6]&0xf)<<24|(in[8*idx+7]&0xf)<<28;
- }
-}
-__global__ void convertInt32ToInt8 (int *out, int *in, int n) {
- int idx = blockDim.x * blockIdx.x + threadIdx.x;
- if (idx < n/4) {
- out[idx] =(in[4*idx]&0xff)|(in[4*idx+1]&0xff)<<8|(in[4*idx+2]&0xff)<<16|(in[4*idx+3]&0xff)<<24;
- }
-}
-__global__ void convertInt32ToInt16 (int *out, int *in, int n) {
- int idx = blockDim.x * blockIdx.x + threadIdx.x;
- if (idx < n/2) {
- out[idx] =(in[2*idx]&0xffff)|(in[2*idx+1]&0xffff)<<16;
- }
-}
-
-__global__ void convertInt4ToInt32 (int *out, int *in, int n) {
- int idx = blockDim.x * blockIdx.x + threadIdx.x;
- int shft_amt=4*(idx%8);
- int shft_mask=0xf<<shft_amt;
- if (idx < n) {
- out[idx]= (in[idx/8]&shft_mask)>>shft_amt;
- }
-}
-__global__ void convertInt8ToInt32 (int *out, int *in, int n) {
- int idx = blockDim.x * blockIdx.x + threadIdx.x;
- int shft_amt=8*(idx%4);
- int shft_mask=0xff<<shft_amt;
- if (idx < n) {
- out[idx]= (in[idx/4]&shft_mask)>>shft_amt;
- }
-}
-__global__ void convertInt16ToInt32 (int *out, int *in, int n) {
- int idx = blockDim.x * blockIdx.x + threadIdx.x;
- int shft_amt=16*(idx%2);
- int shft_mask=0xffff<<shft_amt;
- if (idx < n) {
- out[idx]= (in[idx/2]&shft_mask)>>shft_amt;
- }
-}
-
-int main(int argc, char* argv[]) {
- int *a_int32;
- int *b_int32;
- int *c_int32;
- int *d_int32;
-
- int *a_int4;
- int *b_int4;
- int *a_int8;
- int *b_int8;
- int *a_int16;
- int *b_int16;
-
- int *a_host_wmma;
- int *b_host_wmma;
- int *c_host_wmma;
- int *d_host_wmma;
- int *d_cal_host_wmma;
-
- cudaEvent_t startWMMA;
- cudaEvent_t stopWMMA;
-
-
- srand (time(NULL));
- cudaErrCheck(cudaEventCreate(&startWMMA));
- cudaErrCheck(cudaEventCreate(&stopWMMA));
-
- // Use tensor cores
- cudaErrCheck(cudaMalloc((void**)&a_int32, MATRIX_M * MATRIX_K * sizeof(int)));
- cudaErrCheck(cudaMalloc((void**)&b_int32, MATRIX_K * MATRIX_N * sizeof(int)));
- cudaErrCheck(cudaMalloc((void**)&c_int32, MATRIX_K * MATRIX_N * sizeof(int)));
- cudaErrCheck(cudaMalloc((void**)&d_int32, MATRIX_K * MATRIX_N * sizeof(int)));
- cudaErrCheck(cudaMalloc((void**)&a_int4, MATRIX_M * MATRIX_K * sizeof(int)/8));
- cudaErrCheck(cudaMalloc((void**)&b_int4, MATRIX_K * MATRIX_N * sizeof(int)/8));
- cudaErrCheck(cudaMalloc((void**)&a_int8, MATRIX_M * MATRIX_K * sizeof(int)/4));
- cudaErrCheck(cudaMalloc((void**)&b_int8, MATRIX_K * MATRIX_N * sizeof(int)/4));
- cudaErrCheck(cudaMalloc((void**)&a_int16, MATRIX_M * MATRIX_K * sizeof(int)/2));
- cudaErrCheck(cudaMalloc((void**)&b_int16, MATRIX_K * MATRIX_N * sizeof(int)/2));
-
-
- a_host_wmma = (int *)malloc(MATRIX_M * MATRIX_K * sizeof(int));
- b_host_wmma = (int *)malloc(MATRIX_K * MATRIX_N * sizeof(int));
- c_host_wmma = (int *)malloc(MATRIX_M * MATRIX_N * sizeof(int));
- d_host_wmma = (int *)malloc(MATRIX_M * MATRIX_N * sizeof(int));
- d_cal_host_wmma = (int *)malloc(MATRIX_M * MATRIX_N * sizeof(int));
-
- printf("a_int32\n");
- for(int m=0;m<MATRIX_M;m++){
- for(int n=0;n<MATRIX_K;n++){
- a_host_wmma[m*MATRIX_K+n]= random()%4;
- //a_host_wmma[m*MATRIX_K+n]=m*MATRIX_K+n;
- printf("%d ",a_host_wmma[m*MATRIX_K+n]);
- }
- printf(";\n");
- }
-
- printf("b_int32\n");
- for(int m=0;m<MATRIX_K;m++){
- for(int n=0;n<MATRIX_N;n++){
- b_host_wmma[m*MATRIX_N+n]=random()%2;
- printf("%d ",b_host_wmma[m*MATRIX_N+n]);
- }
- printf(";\n");
- }
-
- printf("c_int32\n");
- for(int m=0;m<MATRIX_M;m++){
- for(int n=0;n<MATRIX_N;n++){
- c_host_wmma[m*MATRIX_N+n]= random()%64;
- d_cal_host_wmma[m*MATRIX_N+n]=0;
- printf("%d ",c_host_wmma[m*MATRIX_N+n]);
- }
- printf(";\n");
- }
- for(int m=0;m<MATRIX_M;m++){
- for(int n=0;n<MATRIX_N;n++){
- for(int k=0;k<MATRIX_K;k++){
- d_cal_host_wmma[m*MATRIX_N+n]+= a_host_wmma[m*MATRIX_K+k]*b_host_wmma[k*MATRIX_K+n];
- }
- d_cal_host_wmma[m*MATRIX_N+n]+=c_host_wmma[m*MATRIX_N+n];
- }
- }
-
-
- cudaErrCheck(cudaMemcpy(a_int32,a_host_wmma, MATRIX_M * MATRIX_K * sizeof(int), cudaMemcpyHostToDevice));
- cudaErrCheck(cudaMemcpy(b_int32,b_host_wmma, MATRIX_K * MATRIX_N * sizeof(int), cudaMemcpyHostToDevice));
- cudaErrCheck(cudaMemcpy(c_int32,c_host_wmma, MATRIX_M * MATRIX_N * sizeof(int), cudaMemcpyHostToDevice));
-
- #ifdef TEST16
- convertInt32ToInt16 <<< (MATRIX_M * MATRIX_K + 255) / 256, 256 >>> (a_int16, a_int32, MATRIX_M * MATRIX_K);
- convertInt16ToInt32 <<< (MATRIX_M * MATRIX_K + 255) / 256, 256 >>> (d_int32, a_int16, MATRIX_M * MATRIX_K);
- cudaErrCheck(cudaMemcpy(d_host_wmma, d_int32, MATRIX_M * MATRIX_N * sizeof(int), cudaMemcpyDeviceToHost));
- #endif
- #ifdef TEST8
- convertInt32ToInt8 <<< (MATRIX_M * MATRIX_K + 255) / 256, 256 >>> (a_int8, a_int32, MATRIX_M * MATRIX_K);
- convertInt8ToInt32 <<< (MATRIX_M * MATRIX_K + 255) / 256, 256 >>> (d_int32, a_int8, MATRIX_M * MATRIX_K);
- cudaErrCheck(cudaMemcpy(d_host_wmma, d_int32, MATRIX_M * MATRIX_N * sizeof(int), cudaMemcpyDeviceToHost));
- #endif
- #ifdef TEST4
- convertInt32ToInt4 <<< (MATRIX_M * MATRIX_K + 255) / 256, 256 >>> (b_int4, b_int32, MATRIX_M * MATRIX_K);
- convertInt4ToInt32 <<< (MATRIX_M * MATRIX_K + 255) / 256, 256 >>> (d_int32, b_int4, MATRIX_M * MATRIX_K);
- cudaErrCheck(cudaMemcpy(d_host_wmma, d_int32, MATRIX_M * MATRIX_N * sizeof(int), cudaMemcpyDeviceToHost));
- #endif
- convertInt32ToInt4 <<< (MATRIX_M * MATRIX_K + 255) / 256, 256 >>> (b_int4, b_int32, MATRIX_M * MATRIX_K);
-
- dim3 gridDim;
- dim3 blockDim;
-
- // blockDim.x must be a multple of warpSize
- // 128x4 means we have 16 warps and a block computes a 64x64 output tile
- blockDim.x = 64;
- blockDim.y = 2;
-
- gridDim.x = (MATRIX_M + (WMMA_M * blockDim.x / 32 - 1)) / (WMMA_M * blockDim.x / 32);
- gridDim.y = (MATRIX_N + WMMA_N * blockDim.y - 1) / (WMMA_N * blockDim.y);
- printf("GRID:X=%d,Y=%d\n",gridDim.x,gridDim.y);
- printf("BLOCK:X=%d,Y=%d\n",blockDim.x,blockDim.y);
-
-
- printf("Running with wmma...\n");
- cudaErrCheck(cudaEventRecord(startWMMA));
- vp_example <<< gridDim, blockDim >>> (a_int32, b_int4, c_int32, MATRIX_M, MATRIX_N, MATRIX_K);
- cudaErrCheck(cudaEventRecord(stopWMMA));
- cudaErrCheck(cudaEventSynchronize(stopWMMA));
-
- // Error checking
- printf("\nChecking results...\n");
- cudaErrCheck(cudaMemcpy(d_host_wmma, c_int32, MATRIX_M * MATRIX_N * sizeof(float), cudaMemcpyDeviceToHost));
-
- float wmmaTime;
- cudaErrCheck(cudaEventElapsedTime(&wmmaTime, startWMMA, stopWMMA));
- printf("wmma took %fms\n", wmmaTime);
-
- cudaErrCheck(cudaEventDestroy(startWMMA));
- cudaErrCheck(cudaEventDestroy(stopWMMA));
-
- int t=1000000;
- while(t-->0);
- printf("D_CALCULATED\n");
-
- for(int m=0;m<MATRIX_M;m++){
- for(int n=0;n<MATRIX_N;n++){
- printf("%d,",d_cal_host_wmma[m*MATRIX_N+n]);
- }
- printf("\n");
- }
- printf("D_WMMA\n");
- for(int m=0;m<MATRIX_M;m++){
- for(int n=0;n<MATRIX_N;n++){
- printf("%d,",d_host_wmma[m*MATRIX_N+n]);
- }
- printf("\n");
- }
- int suc=1;
- for(int m=0;m<MATRIX_M;m++){
- for(int n=0;n<MATRIX_N;n++){
- if(abs(d_cal_host_wmma[m*MATRIX_N+n]-d_host_wmma[m*MATRIX_N+n]))
- {
- printf("ERROR:\n");
- suc=0;
- }
- }
- }
- if(suc==1)
- printf("COMPLETED_SUCCESSFULLY\n");
-
-
- cudaErrCheck(cudaFree(a_int32));
- cudaErrCheck(cudaFree(b_int32));
- cudaErrCheck(cudaFree(c_int32));
- cudaErrCheck(cudaFree(d_int32));
- cudaErrCheck(cudaFree(a_int8));
- cudaErrCheck(cudaFree(b_int8));
-
- free(a_host_wmma);
- free(b_host_wmma);
- free(c_host_wmma);
- free(d_host_wmma);
- cudaErrCheck(cudaDeviceReset());
- return 0;
-}
-
-
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