Mercurial > hg > Members > Moririn

changeset 431:b3359544adbb

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
Edit cudaExec but not work
author Tatsuki IHA <innparusu@cr.ie.u-ryukyu.ac.jp>
date Tue, 17 Oct 2017 01:50:12 +0900
parents 35b37fe8d3a7
children 6bb391fc9e12
files src/parallel_execution/CMakeLists.txt src/parallel_execution/context.h src/parallel_execution/cuda.c src/parallel_execution/examples/bitonicSort/bitonicSwap.cbc src/parallel_execution/examples/twice/twice.cbc
diffstat 5 files changed, 65 insertions(+), 44 deletions(-) [+]
line wrap: on
line diff
--- a/src/parallel_execution/CMakeLists.txt	Mon Oct 09 17:46:42 2017 +0900
+++ b/src/parallel_execution/CMakeLists.txt	Tue Oct 17 01:50:12 2017 +0900
@@ -13,7 +13,7 @@
 if (${USE_CUDA})
     include_directories("/usr/local/cuda/include")
     set(NVCCFLAG "-std=c++11" "-g" "-O0" )
-    set(CUDA_LINK_FLAGS "-framework CUDA -lc++ -Wl,-search_paths_first -Wl,-headerpad_max_install_names /Developer/NVIDIA/CUDA-8.0/lib/libcudart_static.a -Wl,-rpath,/usr/local/cuda/lib")
+    set(CUDA_LINK_FLAGS "-framework CUDA -lc++ -Wl,-search_paths_first -Wl,-headerpad_max_install_names /usr/local/cuda/lib/libcudart_static.a -Wl,-rpath,/usr/local/cuda/lib")
     find_package(CUDA REQUIRED)
     SET( CMAKE_EXE_LINKER_FLAGS  "${CMAKE_EXE_LINKER_FLAGS} ${CUDA_LINK_FLAGS}" )
 endif()
--- a/src/parallel_execution/context.h	Mon Oct 09 17:46:42 2017 +0900
+++ b/src/parallel_execution/context.h	Tue Oct 17 01:50:12 2017 +0900
@@ -345,6 +345,13 @@
         int y;
         int z;
     } MultiDim;
+    struct CudaBuffer {
+        void** kernelParams;
+        int inputLen;
+        int outputLen;
+        union Data** inputData;
+        union Data** outputData;
+    } CudaBuffer;
 }; // union Data end       this is necessary for context generator
 
 typedef union Data Data;
--- a/src/parallel_execution/cuda.c	Mon Oct 09 17:46:42 2017 +0900
+++ b/src/parallel_execution/cuda.c	Tue Oct 17 01:50:12 2017 +0900
@@ -85,58 +85,66 @@
 }
 
 
-void CUDAExec(struct Context* context, struct SortArray* inputSortArray, struct SortArray* outputSortArray) {
-    //printf("cuda exec start\n");
-    // Worker *worker = context->worker;
-    // CUDAWorker* cudaWorker = (CUDAWorker*)worker->worker;
-    // memory allocate
-    CUdeviceptr devA;
-    CUdeviceptr devB;
-    CUdeviceptr devC;
-    CUdeviceptr devD;
+void cudaExec(struct Context* context, struct CudaBuffer* buffer, char* filename, char* function) {
+    buffer->kernelParams = (void **)calloc(buffer->inputLen + buffer->outputLen, sizeof(void *));
+    int paramCount = 0;
+    for (int i = 0; i < buffer->inputLen; i++) {
+        CUdeviceptr* deviceptr = (CUdeviceptr *)calloc(1, sizeof(CUdeviceptr));
+        // memory allocate
+        checkCudaErrors(cuMemAlloc(deviceptr, GET_SIZE(buffer->inputData[i])));
+        // Synchronous data transfer(host to device)
+        checkCudaErrors(cuMemcpyHtoD(*deviceptr, buffer->inputData[i], GET_SIZE(buffer->inputData[i])));
+        buffer->kernelParams[paramCount++] = deviceptr;
+    }
 
-    checkCudaErrors(cuMemAlloc(&devA, sizeof(struct Integer)*GET_LEN(inputSortArray->array)));
-    checkCudaErrors(cuMemAlloc(&devB, sizeof(int)));
-    checkCudaErrors(cuMemAlloc(&devC, sizeof(int)));
-    checkCudaErrors(cuMemAlloc(&devD, sizeof(int)));
+    for (int i = 0; i < buffer->outputLen; i++) {
+        CUdeviceptr* deviceptr = (CUdeviceptr *)calloc(1, sizeof(CUdeviceptr));
+        // memory allocate
+        checkCudaErrors(cuMemAlloc(deviceptr, GET_SIZE(buffer->outputData[i])));
+        // Synchronous data transfer(host to device)
+        checkCudaErrors(cuMemcpyHtoD(*deviceptr, buffer->outputData[i], GET_SIZE(buffer->outputData[i])));
+        buffer->kernelParams[paramCount++] = deviceptr;
+    }
 
-    //twiceカーネルが定義されてなければそれをロードする
-    checkCudaErrors(cuModuleLoad(&context->module, "c/examples/bitonicSort/CUDAbitonicSwap.ptx"));
-    checkCudaErrors(cuModuleGetFunction(&context->function, context->module, "bitonicSwap"));
-
-    //入力のDataGearをGPUにbuffer経由で送る
-    // Synchronous data transfer(host to device)
-    checkCudaErrors(cuMemcpyHtoD(devA, inputSortArray->array, sizeof(struct Integer)*GET_LEN(inputSortArray->array)));
-    checkCudaErrors(cuMemcpyHtoD(devB, &inputSortArray->block, sizeof(int)));
-    checkCudaErrors(cuMemcpyHtoD(devC, &inputSortArray->first, sizeof(int)));
-    checkCudaErrors(cuMemcpyHtoD(devD, &inputSortArray->prefix, sizeof(int)));
+    // カーネルが定義されてなければそれをロードする
+    checkCudaErrors(cuModuleLoad(&context->module, filename));
+    checkCudaErrors(cuModuleGetFunction(&context->function, context->module, function));
 
     // Asynchronous launch kernel
     context->num_exec = 1;
-    void* args[] = {&devA, &devB, &devC, &devD};
     if (context->iterate) {
         struct MultiDimIterator* iterator = &context->iterator->iterator->MultiDimIterator;
         checkCudaErrors(cuLaunchKernel(context->function,
                     iterator->x, iterator->y, iterator->z,
                     1, 1, 1,
-                    0, NULL, args, NULL));
+                    0, NULL, buffer->kernelParams, NULL));
 
     } else {
         checkCudaErrors(cuLaunchKernel(context->function,
                     1, 1, 1,
                     1, 1, 1,
-                    0, NULL, args, NULL));
+                    0, NULL, buffer->kernelParams, NULL));
     }
+
     //結果を取ってくるコマンドを入力する
     //コマンドの終了待ちを行う   
-    checkCudaErrors(cuMemcpyDtoH(inputSortArray->array, devA, sizeof(struct Integer)*GET_LEN(inputSortArray->array)));
-    outputSortArray->array = inputSortArray->array;
+    paramCount = 0;
+    for (int i = 0; i < buffer->inputLen; i++) {
+        CUdeviceptr* deviceptr =  buffer->kernelParams[paramCount++];
+        checkCudaErrors(cuMemcpyDtoH(buffer->inputData[i], *deviceptr, GET_SIZE(buffer->inputData[i])));
+        cuMemFree(*deviceptr);
+        free(deviceptr);
+    }
+
+    for (int i = 0; i < buffer->outputLen; i++) {
+        CUdeviceptr* deviceptr =  buffer->kernelParams[paramCount++];
+        checkCudaErrors(cuMemcpyDtoH(buffer->outputData[i], *deviceptr, GET_SIZE(buffer->outputData[i])));
+        cuMemFree(*deviceptr);
+        free(deviceptr);
+    }
+    free(buffer->kernelParams);
     // wait for stream
     checkCudaErrors(cuCtxSynchronize());
-    cuMemFree(devA);
-    cuMemFree(devB);
-    cuMemFree(devC);
-    cuMemFree(devD);
 }
 
 void cudaShutdown( struct CUDAWorker *worker) {
--- a/src/parallel_execution/examples/bitonicSort/bitonicSwap.cbc	Mon Oct 09 17:46:42 2017 +0900
+++ b/src/parallel_execution/examples/bitonicSort/bitonicSwap.cbc	Tue Oct 17 01:50:12 2017 +0900
@@ -2,7 +2,7 @@
 #include <stdio.h>
 
 #ifdef USE_CUDAWorker
-extern void CUDAExec(struct Context* context, struct SortArray* inputSortArray, struct SortArray* outputSortArray);
+extern void cudaExec(struct Context* context, struct CudaBuffer* buffer, char* filename, char* function);
 #endif
 
 __code bitonicSwap(struct SortArray* inputArray, struct MultiDim* multiDim, __code next(struct SortArray* output, ...), struct LoopCounter* loopCounter) {
@@ -31,19 +31,25 @@
 
 __code bitonicSwap_stub(struct Context* context) {
 #ifdef USE_CUDAWorker
-    struct SortArray* inputSortArray  = &context->data[context->idg]->SortArray;
-    struct SortArray* outputSortArray = &context->data[context->odg]->SortArray;
     if (context->gpu) {
-        CUDAExec(context, inputSortArray, outputSortArray);
+        struct SortArray* inputSortArray  = &context->data[context->idg]->SortArray;
+        struct SortArray* outputSortArray = &context->data[context->odg]->SortArray;
+        struct CudaBuffer* buffer = &ALLOCATE(context, CudaBuffer)->CudaBuffer;
+        buffer->inputData = (union Data**){inputSortArray->array, inputSortArray};
+        buffer->outputData = NULL;
+        buffer->inputLen = 2;
+        buffer->outputLen = 0;
+        cudaExec(context, buffer, "c/examples/bitonicSort/CUDAbitonicSwap.ptx", "bitonicSwap");
         //continuationにそってGPUworkerに戻る
+        outputSortArray->array = inputSortArray->array;
         goto meta(context, context->next);
     }
 #endif
     SortArray** O_output = (struct SortArray **)&context->data[context->odg];
     goto bitonicSwap(context,
-                     &context->data[context->idg]->SortArray,
-                     &context->data[context->idg+1]->MultiDim,
-                     context->next,
-                     O_output,
-                     Gearef(context, LoopCounter));
+            &context->data[context->idg]->SortArray,
+            &context->data[context->idg+1]->MultiDim,
+            context->next,
+            O_output,
+            Gearef(context, LoopCounter));
 }
--- a/src/parallel_execution/examples/twice/twice.cbc	Mon Oct 09 17:46:42 2017 +0900
+++ b/src/parallel_execution/examples/twice/twice.cbc	Tue Oct 17 01:50:12 2017 +0900
@@ -3,7 +3,7 @@
 #include "../../../context.h"
 
 #ifdef USE_CUDAWorker
-extern void CUDAExec(struct Context* context, Array* array);
+extern void cudaExec(struct Context* context, Array* array);
 #endif
 
 __code twice(struct Array* array, struct MultiDim* multiDim, __code next(...), struct LoopCounter* loopCounter) {
@@ -24,7 +24,7 @@
 #ifdef USE_CUDAWorker
     struct Array* array = &context->data[context->idg]->Array;
     if (context->gpu) {
-        CUDAExec(context, array);
+        cudaExec(context, array);
         //continuationにそってGPUworkerに戻る
         goto meta(context, context->next);
     }