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authoraamir <[email protected]>2018-09-14 01:42:35 -0700
committeraamir <[email protected]>2018-09-14 01:42:35 -0700
commitcc14e087c164a25cd9e2374777fdc4e57d9cec39 (patch)
tree88861927016e54baa124fb52c7157bcff50a3371
parent7845388e64b9617033a496d110902fa345c0ef8b (diff)
corrected the bug in vpcore functional model
-rw-r--r--cuda-kernels/v16p_genericMatrixMultiply.cu24
-rw-r--r--cuda-kernels/v16p_kernel.cu9
-rw-r--r--cuda-kernels/v4p_genericMatrixMultiply.cu23
-rw-r--r--cuda-kernels/v4p_kernel.cu9
-rw-r--r--cuda-kernels/v8p_genericMatrixMultiply.cu21
-rw-r--r--cuda-kernels/v8p_kernel.cu9
-rw-r--r--src/abstract_hardware_model.cc3
-rw-r--r--src/cuda-sim/instructions.cc10
8 files changed, 63 insertions, 45 deletions
diff --git a/cuda-kernels/v16p_genericMatrixMultiply.cu b/cuda-kernels/v16p_genericMatrixMultiply.cu
index c36d257..284bd7e 100644
--- a/cuda-kernels/v16p_genericMatrixMultiply.cu
+++ b/cuda-kernels/v16p_genericMatrixMultiply.cu
@@ -1,5 +1,6 @@
#include <stdio.h>
#include <curand.h>
+#include <stdlib.h>
// Define some error checking macros.
#define cudaErrCheck(stat) { cudaErrCheck_((stat), __FILE__, __LINE__); }
@@ -20,9 +21,9 @@ void curandErrCheck_(curandStatus_t stat, const char *file, int line) {
using namespace nvcuda;
// Must be multiples of 16 for wmma code to work
-#define MATRIX_M (32)
-#define MATRIX_N (32)
-#define MATRIX_K (32)
+#define MATRIX_M (SIZE)
+#define MATRIX_N (SIZE)
+#define MATRIX_K (SIZE)
// The only dimensions currently supported by WMMA
@@ -83,7 +84,7 @@ __global__ void vp_example(int *a, int *b, int *c, int M, int N, int K ) {
asm("CPTX_BEGIN");
asm("vp.load.b16.sync.row.m16n16k16.s32 {%0,%1,%2,%3},[%4],%5;" :
"=r"(b_frag[0]),"=r"(b_frag[1]),"=r"(b_frag[2]),"=r"(b_frag[3]):
- "l"(b+bRow*ldb/2+bCol),"r"(ldb/2)
+ "l"(b+bRow*ldb/2+bCol/2),"r"(ldb)//NOTE pointer arithematic is happenning over here so be extracareful
);
asm("CPTX_END");
asm("*/");
@@ -118,7 +119,7 @@ __global__ void vp_example(int *a, int *b, int *c, int M, int N, int K ) {
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),"r"(ldc)
+ "l"(c+cRow*ldc+cCol),"r"(ldc)
);
asm("CPTX_END");
asm("*/");
@@ -223,7 +224,7 @@ int main(int argc, char* argv[]) {
cudaEvent_t startWMMA;
cudaEvent_t stopWMMA;
-
+ srand(time(NULL));
cudaErrCheck(cudaEventCreate(&startWMMA));
cudaErrCheck(cudaEventCreate(&stopWMMA));
@@ -249,7 +250,8 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_K+n)%10;
+ a_host_wmma[m*MATRIX_K+n]= random()%2;
+ //a_host_wmma[m*MATRIX_K+n]= m*MATRIX_K+n;
printf("%d ",a_host_wmma[m*MATRIX_K+n]);
}
printf(";\n");
@@ -258,7 +260,8 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%4;
+ b_host_wmma[m*MATRIX_N+n]= random()%4;
+ //b_host_wmma[m*MATRIX_N+n]= m*MATRIX_N+n;
printf("%d ",b_host_wmma[m*MATRIX_N+n]);
}
printf(";\n");
@@ -267,7 +270,8 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%4;
+ c_host_wmma[m*MATRIX_N+n]= random()%32;
+ //c_host_wmma[m*MATRIX_N+n]= m*MATRIX_N+n;
d_cal_host_wmma[m*MATRIX_N+n]=0;
printf("%d ",c_host_wmma[m*MATRIX_N+n]);
}
@@ -335,7 +339,7 @@ int main(int argc, char* argv[]) {
cudaErrCheck(cudaEventDestroy(startWMMA));
cudaErrCheck(cudaEventDestroy(stopWMMA));
- int t=200000;
+ int t=1000000;
while(t-->0);
printf("D_CALCULATED\n");
diff --git a/cuda-kernels/v16p_kernel.cu b/cuda-kernels/v16p_kernel.cu
index 31a1460..864597d 100644
--- a/cuda-kernels/v16p_kernel.cu
+++ b/cuda-kernels/v16p_kernel.cu
@@ -1,5 +1,6 @@
#include <stdio.h>
#include <curand.h>
+#include <stdlib.h>
// Define some error checking macros.
#define cudaErrCheck(stat) { cudaErrCheck_((stat), __FILE__, __LINE__); }
@@ -205,7 +206,7 @@ int main(int argc, char* argv[]) {
cudaEvent_t startWMMA;
cudaEvent_t stopWMMA;
-
+ srand(time(NULL));
cudaErrCheck(cudaEventCreate(&startWMMA));
cudaErrCheck(cudaEventCreate(&stopWMMA));
@@ -231,7 +232,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_K+n)%4;
+ a_host_wmma[m*MATRIX_K+n]= random()%5;
printf("%d ",a_host_wmma[m*MATRIX_K+n]);
}
printf(";\n");
@@ -240,7 +241,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%256;
+ b_host_wmma[m*MATRIX_N+n]=random()%32;
printf("%d ",b_host_wmma[m*MATRIX_N+n]);
}
printf(";\n");
@@ -249,7 +250,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%8;
+ c_host_wmma[m*MATRIX_N+n]=random()%32;
d_cal_host_wmma[m*MATRIX_N+n]=0;
printf("%d ",c_host_wmma[m*MATRIX_N+n]);
}
diff --git a/cuda-kernels/v4p_genericMatrixMultiply.cu b/cuda-kernels/v4p_genericMatrixMultiply.cu
index abcab8e..42283c4 100644
--- a/cuda-kernels/v4p_genericMatrixMultiply.cu
+++ b/cuda-kernels/v4p_genericMatrixMultiply.cu
@@ -1,5 +1,6 @@
#include <stdio.h>
#include <curand.h>
+#include<stdlib.h>
// Define some error checking macros.
#define cudaErrCheck(stat) { cudaErrCheck_((stat), __FILE__, __LINE__); }
@@ -20,9 +21,9 @@ void curandErrCheck_(curandStatus_t stat, const char *file, int line) {
using namespace nvcuda;
// Must be multiples of 16 for wmma code to work
-#define MATRIX_M (32)
-#define MATRIX_N (32)
-#define MATRIX_K (32)
+#define MATRIX_M (SIZE)
+#define MATRIX_N (SIZE)
+#define MATRIX_K (SIZE)
// The only dimensions currently supported by WMMA
@@ -83,7 +84,7 @@ __global__ void vp_example(int *a, int *b, int *c, int M, int N, int K ) {
asm("CPTX_BEGIN");
asm("vp.load.b4.sync.row.m16n16k16.s32 {%0},[%1],%2;" :
"=r"(b_frag[0]):
- "l"(b+bRow*ldb/8+bCol),"r"(ldb/8)
+ "l"(b+bRow*ldb/8+bCol/8),"r"(ldb)
);
asm("CPTX_END");
asm("*/");
@@ -118,7 +119,7 @@ __global__ void vp_example(int *a, int *b, int *c, int M, int N, int K ) {
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),"r"(ldc)
+ "l"(c+cRow*ldc+cCol),"r"(ldc)
);
asm("CPTX_END");
asm("*/");
@@ -223,7 +224,8 @@ int main(int argc, char* argv[]) {
cudaEvent_t startWMMA;
cudaEvent_t stopWMMA;
-
+
+ srand (time(NULL));
cudaErrCheck(cudaEventCreate(&startWMMA));
cudaErrCheck(cudaEventCreate(&stopWMMA));
@@ -249,7 +251,8 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_K+n)%1024;
+ 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");
@@ -258,7 +261,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%4;
+ b_host_wmma[m*MATRIX_N+n]=random()%2;
printf("%d ",b_host_wmma[m*MATRIX_N+n]);
}
printf(";\n");
@@ -267,7 +270,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%4;
+ 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]);
}
@@ -335,7 +338,7 @@ int main(int argc, char* argv[]) {
cudaErrCheck(cudaEventDestroy(startWMMA));
cudaErrCheck(cudaEventDestroy(stopWMMA));
- int t=200000;
+ int t=1000000;
while(t-->0);
printf("D_CALCULATED\n");
diff --git a/cuda-kernels/v4p_kernel.cu b/cuda-kernels/v4p_kernel.cu
index f1a9dbe..053c07b 100644
--- a/cuda-kernels/v4p_kernel.cu
+++ b/cuda-kernels/v4p_kernel.cu
@@ -1,4 +1,5 @@
#include <stdio.h>
+#include <stdlib.h>
#include <curand.h>
// Define some error checking macros.
@@ -205,7 +206,7 @@ int main(int argc, char* argv[]) {
cudaEvent_t startWMMA;
cudaEvent_t stopWMMA;
-
+ srand (time(NULL));
cudaErrCheck(cudaEventCreate(&startWMMA));
cudaErrCheck(cudaEventCreate(&stopWMMA));
@@ -231,7 +232,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_K+n)%4;
+ a_host_wmma[m*MATRIX_K+n]=random()%64;
printf("%d ",a_host_wmma[m*MATRIX_K+n]);
}
printf(";\n");
@@ -240,7 +241,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%4;
+ b_host_wmma[m*MATRIX_N+n]=random()%16;
printf("%d ",b_host_wmma[m*MATRIX_N+n]);
}
printf(";\n");
@@ -249,7 +250,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%4;
+ 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]);
}
diff --git a/cuda-kernels/v8p_genericMatrixMultiply.cu b/cuda-kernels/v8p_genericMatrixMultiply.cu
index 208c369..d96b07c 100644
--- a/cuda-kernels/v8p_genericMatrixMultiply.cu
+++ b/cuda-kernels/v8p_genericMatrixMultiply.cu
@@ -1,5 +1,6 @@
#include <stdio.h>
#include <curand.h>
+#include <stdlib.h>
// Define some error checking macros.
#define cudaErrCheck(stat) { cudaErrCheck_((stat), __FILE__, __LINE__); }
@@ -20,9 +21,9 @@ void curandErrCheck_(curandStatus_t stat, const char *file, int line) {
using namespace nvcuda;
// Must be multiples of 16 for wmma code to work
-#define MATRIX_M (32)
-#define MATRIX_N (32)
-#define MATRIX_K (32)
+#define MATRIX_M (SIZE)
+#define MATRIX_N (SIZE)
+#define MATRIX_K (SIZE)
// The only dimensions currently supported by WMMA
@@ -83,7 +84,7 @@ __global__ void vp_example(int *a, int *b, int *c, int M, int N, int K ) {
asm("CPTX_BEGIN");
asm("vp.load.b8.sync.row.m16n16k16.s32 {%0,%1},[%2],%3;" :
"=r"(b_frag[0]),"=r"(b_frag[1]):
- "l"(b+bRow*ldb/4+bCol),"r"(ldb/4)
+ "l"(b+bRow*ldb/4+bCol/4),"r"(ldb)
);
asm("CPTX_END");
asm("*/");
@@ -118,7 +119,7 @@ __global__ void vp_example(int *a, int *b, int *c, int M, int N, int K ) {
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),"r"(ldc)
+ "l"(c+cRow*ldc+cCol),"r"(ldc)
);
asm("CPTX_END");
asm("*/");
@@ -223,7 +224,7 @@ int main(int argc, char* argv[]) {
cudaEvent_t startWMMA;
cudaEvent_t stopWMMA;
-
+ srand(time(NULL));
cudaErrCheck(cudaEventCreate(&startWMMA));
cudaErrCheck(cudaEventCreate(&stopWMMA));
@@ -249,7 +250,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_K+n)%1024;
+ a_host_wmma[m*MATRIX_K+n]=random()%5;
printf("%d ",a_host_wmma[m*MATRIX_K+n]);
}
printf(";\n");
@@ -258,7 +259,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%4;
+ b_host_wmma[m*MATRIX_N+n]=random()%32;
printf("%d ",b_host_wmma[m*MATRIX_N+n]);
}
printf(";\n");
@@ -267,7 +268,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%4;
+ c_host_wmma[m*MATRIX_N+n]=random()%32;
d_cal_host_wmma[m*MATRIX_N+n]=0;
printf("%d ",c_host_wmma[m*MATRIX_N+n]);
}
@@ -335,7 +336,7 @@ int main(int argc, char* argv[]) {
cudaErrCheck(cudaEventDestroy(startWMMA));
cudaErrCheck(cudaEventDestroy(stopWMMA));
- int t=200000;
+ int t=1000000;
while(t-->0);
printf("D_CALCULATED\n");
diff --git a/cuda-kernels/v8p_kernel.cu b/cuda-kernels/v8p_kernel.cu
index f824eac..9bfcea7 100644
--- a/cuda-kernels/v8p_kernel.cu
+++ b/cuda-kernels/v8p_kernel.cu
@@ -1,5 +1,6 @@
#include <stdio.h>
#include <curand.h>
+#include<stdlib.h>
// Define some error checking macros.
#define cudaErrCheck(stat) { cudaErrCheck_((stat), __FILE__, __LINE__); }
@@ -204,7 +205,7 @@ int main(int argc, char* argv[]) {
cudaEvent_t startWMMA;
cudaEvent_t stopWMMA;
-
+ srand(time(NULL));
cudaErrCheck(cudaEventCreate(&startWMMA));
cudaErrCheck(cudaEventCreate(&stopWMMA));
@@ -231,7 +232,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_K+n)%8;
+ a_host_wmma[m*MATRIX_K+n]=random()%10;
printf("%d ",a_host_wmma[m*MATRIX_K+n]);
}
printf(";\n");
@@ -240,7 +241,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%4;
+ b_host_wmma[m*MATRIX_N+n]=random()%5;
printf("%d ",b_host_wmma[m*MATRIX_N+n]);
}
printf(";\n");
@@ -249,7 +250,7 @@ int main(int argc, char* argv[]) {
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]=(m*MATRIX_N+n)%8;
+ 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]);
}
diff --git a/src/abstract_hardware_model.cc b/src/abstract_hardware_model.cc
index b24a77e..83e76fe 100644
--- a/src/abstract_hardware_model.cc
+++ b/src/abstract_hardware_model.cc
@@ -389,7 +389,8 @@ void warp_inst_t::memory_coalescing_arch_13( bool is_write, mem_access_type acce
assert(num_accesses <= MAX_ACCESSES_PER_INSN_PER_THREAD);
- for(unsigned access=0; access<num_accesses; access++) {
+// for(unsigned access=0; access<num_accesses; access++) {
+ for(unsigned access=0; (access<MAX_ACCESSES_PER_INSN_PER_THREAD)&&(m_per_scalar_thread[thread].memreqaddr[access]!=0); access++) {
new_addr_type addr = m_per_scalar_thread[thread].memreqaddr[access];
unsigned block_address = line_size_based_tag_func(addr,segment_size);
unsigned chunk = (addr&127)/32; // which 32-byte chunk within in a 128-byte chunk does this thread access?
diff --git a/src/cuda-sim/instructions.cc b/src/cuda-sim/instructions.cc
index 6f1b5d3..42c63ca 100644
--- a/src/cuda-sim/instructions.cc
+++ b/src/cuda-sim/instructions.cc
@@ -3363,7 +3363,7 @@ void vp_ld_impl(const ptx_instruction *pI, core_t *core, warp_inst_t &inst)
else if(wmma_layout==COL){
//mem->read(new_addr+4*stride*i,size/8,&data[i].s64);
mem->read(new_addr+4*stride*i,size/8,&data[i].s64);
- mem_txn_addr[num_mem_txn++]=new_addr+4*i;
+ mem_txn_addr[num_mem_txn++]=new_addr+4*stride*i;
}
}
}
@@ -3410,7 +3410,13 @@ void vp_ld_impl(const ptx_instruction *pI, core_t *core, warp_inst_t &inst)
inst.set_addr(thrd, (new_addr_type *)mem_txn_addr , num_mem_txn);
inst.data_size = 4; // 4 byte transaction
assert( inst.memory_op == insn_memory_op );
-
+ printf("\nVPLOAD_THREAD%d:",thrd);
+ for(int lll=0;lll<num_mem_txn;lll++)
+ {
+ printf("%x ",mem_txn_addr[lll]);
+ }
+ printf("\n");
+
int num_reg;
if(g_debug_instruction){
printf("\nvp_ld:thread%d= ",thrd);