extern "C" void initScan(cl_context cxGPUContext, cl_command_queue cqParamCommandQue, const char **argv) { cl_int ciErrNum; size_t kernelLength; shrLog(" ...loading Scan.cl\n"); char *cScan = oclLoadProgSource(shrFindFilePath("Scan.cl", argv[0]), "// My comment\n", &kernelLength); oclCheckError(cScan != NULL, shrTRUE); shrLog(" ...creating scan program\n"); cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&cScan, &kernelLength, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog(" ...building scan program\n"); ciErrNum = clBuildProgram(cpProgram, 0, NULL, compileOptions, NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and exit shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclScan.ptx"); oclCheckError(ciErrNum, CL_SUCCESS); } shrLog(" ...creating scan kernels\n"); ckScanExclusiveLocal1 = clCreateKernel(cpProgram, "scanExclusiveLocal1", &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); ckScanExclusiveLocal2 = clCreateKernel(cpProgram, "scanExclusiveLocal2", &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); ckUniformUpdate = clCreateKernel(cpProgram, "uniformUpdate", &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog( " ...checking minimum supported workgroup size\n"); //Check for work group size cl_device_id device; size_t szScanExclusiveLocal1, szScanExclusiveLocal2, szUniformUpdate; ciErrNum = clGetCommandQueueInfo(cqParamCommandQue, CL_QUEUE_DEVICE, sizeof(cl_device_id), &device, NULL); ciErrNum |= clGetKernelWorkGroupInfo(ckScanExclusiveLocal1, device, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &szScanExclusiveLocal1, NULL); ciErrNum |= clGetKernelWorkGroupInfo(ckScanExclusiveLocal2, device, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &szScanExclusiveLocal2, NULL); ciErrNum |= clGetKernelWorkGroupInfo(ckUniformUpdate, device, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &szUniformUpdate, NULL); oclCheckError(ciErrNum, CL_SUCCESS); if( (szScanExclusiveLocal1 < WORKGROUP_SIZE) || (szScanExclusiveLocal2 < WORKGROUP_SIZE) || (szUniformUpdate < WORKGROUP_SIZE) ) { shrLog("ERROR: Minimum work-group size %u required by this application is not supported on this device.\n", WORKGROUP_SIZE); exit(0); } shrLog(" ...allocating internal buffers\n"); d_Buffer = clCreateBuffer(cxGPUContext, CL_MEM_READ_WRITE, (MAX_BATCH_ELEMENTS / (4 * WORKGROUP_SIZE)) * sizeof(uint), NULL, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); //Discard temp storage free(cScan); }
extern "C" void initHistogram64(cl_context cxGPUContext, cl_command_queue cqParamCommandQue, const char **argv){ cl_int ciErrNum; size_t kernelLength; shrLog("...loading Histogram64.cl from file\n"); char *cHistogram64 = oclLoadProgSource(shrFindFilePath("Histogram64.cl", argv[0]), "// My comment\n", &kernelLength); shrCheckError(cHistogram64 != NULL, shrTRUE); shrLog("...creating histogram64 program\n"); cpHistogram64 = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&cHistogram64, &kernelLength, &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); shrLog("...building histogram64 program\n"); ciErrNum = clBuildProgram(cpHistogram64, 0, NULL, compileOptions, NULL, NULL); shrCheckError(ciErrNum, CL_SUCCESS); shrLog("...creating histogram64 kernels\n"); ckHistogram64 = clCreateKernel(cpHistogram64, "histogram64", &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); ckMergeHistogram64 = clCreateKernel(cpHistogram64, "mergeHistogram64", &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); shrLog("...allocating internal histogram64 buffer\n"); d_PartialHistograms = clCreateBuffer(cxGPUContext, CL_MEM_READ_WRITE, MAX_PARTIAL_HISTOGRAM64_COUNT * HISTOGRAM64_BIN_COUNT * sizeof(uint), NULL, &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); //Save default command queue cqDefaultCommandQue = cqParamCommandQue; //Discard temp storage free(cHistogram64); //Save ptx code to separate file oclLogPtx(cpHistogram64, oclGetFirstDev(cxGPUContext), "Histogram64.ptx"); }
//----------------------------------------------------------------------------- // Name: CreateKernelProgram() // Desc: Creates OpenCL program and kernel instances //----------------------------------------------------------------------------- HRESULT CreateKernelProgram( const char *exepath, const char *clName, const char *clPtx, const char *kernelEntryPoint, cl_program &cpProgram, cl_kernel &ckKernel ) { // Program Setup size_t program_length; const char* source_path = shrFindFilePath(clName, exepath); char *source = oclLoadProgSource(source_path, "", &program_length); oclCheckErrorEX(source != NULL, shrTRUE, pCleanup); // create the program cpProgram = clCreateProgramWithSource(cxGPUContext, 1,(const char **) &source, &program_length, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); free(source); // build the program #ifdef USE_STAGING_BUFFER static char *opts = "-cl-fast-relaxed-math -DUSE_STAGING_BUFFER"; #else static char *opts = "-cl-fast-relaxed-math"; #endif ciErrNum = clBuildProgram(cpProgram, 0, NULL, opts, NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and exit shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), clPtx); Cleanup(EXIT_FAILURE); } // create the kernel ckKernel = clCreateKernel(cpProgram, kernelEntryPoint, &ciErrNum); if (!ckKernel) { Cleanup(EXIT_FAILURE); } // set the args values return ciErrNum ? E_FAIL : S_OK; }
// **************************************************************************** // Method: dumpPTXCode // // Purpose: // // // Arguments: // ctx context // prg program // name file name prefix to output to // // Programmer: Gabriel Marin // Creation: July 14, 2009 // // **************************************************************************** inline bool dumpPTXCode (cl_context ctx, cl_program prog, const char *name) { std::cout << "Dumping the PTX code" << std::endl; size_t ptx_length; char* ptx_code; char buf[64]; oclGetProgBinary (prog, oclGetFirstDev(ctx), &ptx_code, &ptx_length); FILE* ptxFile = NULL; sprintf (buf, "%.59s.ptx", name); #ifdef WIN32 fopen_s (&ptxFile, buf, "w"); #else ptxFile = fopen (buf,"w"); #endif if (ptxFile) { fwrite (ptx_code, ptx_length, 1, ptxFile); fclose (ptxFile); } free (ptx_code); return (ptx_code!=0); }
// Main function // ********************************************************************* int main(int argc, char **argv) { gp_argc = &argc; gp_argv = &argv; shrQAStart(argc, argv); // Get the NVIDIA platform ciErrNum = oclGetPlatformID(&cpPlatform); oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL); shrLog("clGetPlatformID...\n"); // Get the NVIDIA platform ciErrNum = oclGetPlatformID(&cpPlatform); oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL); shrLog("clGetPlatformID...\n"); //Get all the devices cl_uint uiNumDevices = 0; // Number of devices available cl_uint uiTargetDevice = 0; // Default Device to compute on cl_uint uiNumComputeUnits; // Number of compute units (SM's on NV GPU) shrLog("Get the Device info and select Device...\n"); ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 0, NULL, &uiNumDevices); oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL); cdDevices = (cl_device_id *)malloc(uiNumDevices * sizeof(cl_device_id) ); ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, uiNumDevices, cdDevices, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL); // Get command line device options and config accordingly shrLog(" # of Devices Available = %u\n", uiNumDevices); if(shrGetCmdLineArgumentu(argc, (const char**)argv, "device", &uiTargetDevice)== shrTRUE) { uiTargetDevice = CLAMP(uiTargetDevice, 0, (uiNumDevices - 1)); } shrLog(" Using Device %u: ", uiTargetDevice); oclPrintDevName(LOGBOTH, cdDevices[uiTargetDevice]); ciErrNum = clGetDeviceInfo(cdDevices[uiTargetDevice], CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(uiNumComputeUnits), &uiNumComputeUnits, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL); shrLog("\n # of Compute Units = %u\n", uiNumComputeUnits); // get command line arg for quick test, if provided bNoPrompt = shrCheckCmdLineFlag(argc, (const char**)argv, "noprompt"); // start logs cExecutableName = argv[0]; shrSetLogFileName ("oclDotProduct.txt"); shrLog("%s Starting...\n\n# of float elements per Array \t= %u\n", argv[0], iNumElements); // set and log Global and Local work size dimensions szLocalWorkSize = 256; szGlobalWorkSize = shrRoundUp((int)szLocalWorkSize, iNumElements); // rounded up to the nearest multiple of the LocalWorkSize shrLog("Global Work Size \t\t= %u\nLocal Work Size \t\t= %u\n# of Work Groups \t\t= %u\n\n", szGlobalWorkSize, szLocalWorkSize, (szGlobalWorkSize % szLocalWorkSize + szGlobalWorkSize/szLocalWorkSize)); // Allocate and initialize host arrays shrLog( "Allocate and Init Host Mem...\n"); srcA = (void *)malloc(sizeof(cl_float4) * szGlobalWorkSize); srcB = (void *)malloc(sizeof(cl_float4) * szGlobalWorkSize); dst = (void *)malloc(sizeof(cl_float) * szGlobalWorkSize); Golden = (void *)malloc(sizeof(cl_float) * iNumElements); shrFillArray((float*)srcA, 4 * iNumElements); shrFillArray((float*)srcB, 4 * iNumElements); // Get the NVIDIA platform ciErrNum = oclGetPlatformID(&cpPlatform); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Get a GPU device ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 1, &cdDevices[uiTargetDevice], NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Create the context cxGPUContext = clCreateContext(0, 1, &cdDevices[uiTargetDevice], NULL, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Create a command-queue shrLog("clCreateCommandQueue...\n"); cqCommandQueue = clCreateCommandQueue(cxGPUContext, cdDevices[uiTargetDevice], 0, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Allocate the OpenCL buffer memory objects for source and result on the device GMEM shrLog("clCreateBuffer (SrcA, SrcB and Dst in Device GMEM)...\n"); cmDevSrcA = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, sizeof(cl_float) * szGlobalWorkSize * 4, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); cmDevSrcB = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, sizeof(cl_float) * szGlobalWorkSize * 4, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); cmDevDst = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, sizeof(cl_float) * szGlobalWorkSize, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Read the OpenCL kernel in from source file shrLog("oclLoadProgSource (%s)...\n", cSourceFile); cPathAndName = shrFindFilePath(cSourceFile, argv[0]); oclCheckErrorEX(cPathAndName != NULL, shrTRUE, pCleanup); cSourceCL = oclLoadProgSource(cPathAndName, "", &szKernelLength); oclCheckErrorEX(cSourceCL != NULL, shrTRUE, pCleanup); // Create the program shrLog("clCreateProgramWithSource...\n"); cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&cSourceCL, &szKernelLength, &ciErrNum); // Build the program with 'mad' Optimization option #ifdef MAC char* flags = "-cl-fast-relaxed-math -DMAC"; #else char* flags = "-cl-fast-relaxed-math"; #endif shrLog("clBuildProgram...\n"); ciErrNum = clBuildProgram(cpProgram, 0, NULL, NULL, NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and exit shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclDotProduct.ptx"); Cleanup(EXIT_FAILURE); } // Create the kernel shrLog("clCreateKernel (DotProduct)...\n"); ckKernel = clCreateKernel(cpProgram, "DotProduct", &ciErrNum); // Set the Argument values shrLog("clSetKernelArg 0 - 3...\n\n"); ciErrNum = clSetKernelArg(ckKernel, 0, sizeof(cl_mem), (void*)&cmDevSrcA); ciErrNum |= clSetKernelArg(ckKernel, 1, sizeof(cl_mem), (void*)&cmDevSrcB); ciErrNum |= clSetKernelArg(ckKernel, 2, sizeof(cl_mem), (void*)&cmDevDst); ciErrNum |= clSetKernelArg(ckKernel, 3, sizeof(cl_int), (void*)&iNumElements); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // -------------------------------------------------------- // Core sequence... copy input data to GPU, compute, copy results back // Asynchronous write of data to GPU device shrLog("clEnqueueWriteBuffer (SrcA and SrcB)...\n"); ciErrNum = clEnqueueWriteBuffer(cqCommandQueue, cmDevSrcA, CL_FALSE, 0, sizeof(cl_float) * szGlobalWorkSize * 4, srcA, 0, NULL, NULL); ciErrNum |= clEnqueueWriteBuffer(cqCommandQueue, cmDevSrcB, CL_FALSE, 0, sizeof(cl_float) * szGlobalWorkSize * 4, srcB, 0, NULL, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Launch kernel shrLog("clEnqueueNDRangeKernel (DotProduct)...\n"); ciErrNum = clEnqueueNDRangeKernel(cqCommandQueue, ckKernel, 1, NULL, &szGlobalWorkSize, &szLocalWorkSize, 0, NULL, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Read back results and check accumulated errors shrLog("clEnqueueReadBuffer (Dst)...\n\n"); ciErrNum = clEnqueueReadBuffer(cqCommandQueue, cmDevDst, CL_TRUE, 0, sizeof(cl_float) * szGlobalWorkSize, dst, 0, NULL, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Compute and compare results for golden-host and report errors and pass/fail shrLog("Comparing against Host/C++ computation...\n\n"); DotProductHost ((const float*)srcA, (const float*)srcB, (float*)Golden, iNumElements); shrBOOL bMatch = shrComparefet((const float*)Golden, (const float*)dst, (unsigned int)iNumElements, 0.0f, 0); // Cleanup and leave Cleanup (EXIT_SUCCESS); }
//////////////////////////////////////////////////////////////////////////////// // Program main //////////////////////////////////////////////////////////////////////////////// int main(int argc, char **argv) { shrQAStart(argc, argv); // start logs shrSetLogFileName ("oclSimpleMultiGPU.txt"); shrLog("%s Starting, Array = %u float values...\n\n", argv[0], DATA_N); // OpenCL cl_platform_id cpPlatform; cl_uint ciDeviceCount; cl_device_id* cdDevices; cl_context cxGPUContext; cl_device_id cdDevice; // GPU device int deviceNr[MAX_GPU_COUNT]; cl_command_queue commandQueue[MAX_GPU_COUNT]; cl_mem d_Data[MAX_GPU_COUNT]; cl_mem d_Result[MAX_GPU_COUNT]; cl_program cpProgram; cl_kernel reduceKernel[MAX_GPU_COUNT]; cl_event GPUDone[MAX_GPU_COUNT]; cl_event GPUExecution[MAX_GPU_COUNT]; size_t programLength; cl_int ciErrNum; char cDeviceName [256]; cl_mem h_DataBuffer; // Vars for reduction results float h_SumGPU[MAX_GPU_COUNT * ACCUM_N]; float *h_Data; double sumGPU; double sumCPU, dRelError; // allocate and init host buffer with with some random generated input data h_Data = (float *)malloc(DATA_N * sizeof(float)); shrFillArray(h_Data, DATA_N); // start timer & logs shrLog("Setting up OpenCL on the Host...\n\n"); shrDeltaT(1); // Annotate profiling state #ifdef GPU_PROFILING shrLog("OpenCL Profiling is enabled...\n\n"); #endif //Get the NVIDIA platform ciErrNum = oclGetPlatformID(&cpPlatform); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clGetPlatformID...\n"); //Get the devices ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 0, NULL, &ciDeviceCount); oclCheckError(ciErrNum, CL_SUCCESS); cdDevices = (cl_device_id *)malloc(ciDeviceCount * sizeof(cl_device_id) ); ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, ciDeviceCount, cdDevices, NULL); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clGetDeviceIDs...\n"); //Create the context cxGPUContext = clCreateContext(0, ciDeviceCount, cdDevices, NULL, NULL, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clCreateContext...\n"); // Set up command queue(s) for GPU's specified on the command line or all GPU's if(shrCheckCmdLineFlag(argc, (const char **)argv, "device")) { // User specified GPUs int ciMaxDeviceID = ciDeviceCount-1; ciDeviceCount = 0; char* deviceList; char* deviceStr; char* next_token; shrGetCmdLineArgumentstr(argc, (const char **)argv, "device", &deviceList); #ifdef WIN32 deviceStr = strtok_s (deviceList," ,.-", &next_token); #else deviceStr = strtok (deviceList," ,.-"); #endif // Create command queues for all Requested GPU's while(deviceStr != NULL) { // get & log device index # and name deviceNr[ciDeviceCount] = atoi(deviceStr); if( deviceNr[ciDeviceCount] > ciMaxDeviceID ) { shrLog(" Invalid user specified device ID: %d\n", deviceNr[ciDeviceCount]); return 1; } cdDevice = oclGetDev(cxGPUContext, deviceNr[ciDeviceCount]); ciErrNum = clGetDeviceInfo(cdDevice, CL_DEVICE_NAME, sizeof(cDeviceName), cDeviceName, NULL); oclCheckError(ciErrNum, CL_SUCCESS); shrLog(" Device %i: %s\n\n", deviceNr[ciDeviceCount], cDeviceName); // create a command que commandQueue[ciDeviceCount] = clCreateCommandQueue(cxGPUContext, cdDevice, CL_QUEUE_PROFILING_ENABLE, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clCreateCommandQueue\n"); ++ciDeviceCount; #ifdef WIN32 deviceStr = strtok_s (NULL," ,.-", &next_token); #else deviceStr = strtok (NULL," ,.-"); #endif } free(deviceList); } else { // Find out how many GPU's to compute on all available GPUs size_t nDeviceBytes; ciErrNum = clGetContextInfo(cxGPUContext, CL_CONTEXT_DEVICES, 0, NULL, &nDeviceBytes); oclCheckError(ciErrNum, CL_SUCCESS); ciDeviceCount = (cl_uint)nDeviceBytes/sizeof(cl_device_id); for(unsigned int i = 0; i < ciDeviceCount; ++i ) { // get & log device index # and name deviceNr[i] = i; cdDevice = oclGetDev(cxGPUContext, i); ciErrNum = clGetDeviceInfo(cdDevice, CL_DEVICE_NAME, sizeof(cDeviceName), cDeviceName, NULL); oclCheckError(ciErrNum, CL_SUCCESS); shrLog(" Device %i: %s\n", i, cDeviceName); // create a command que commandQueue[i] = clCreateCommandQueue(cxGPUContext, cdDevice, CL_QUEUE_PROFILING_ENABLE, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clCreateCommandQueue\n\n"); } } // Load the OpenCL source code from the .cl file const char* source_path = shrFindFilePath("simpleMultiGPU.cl", argv[0]); char *source = oclLoadProgSource(source_path, "", &programLength); oclCheckError(source != NULL, shrTRUE); shrLog("oclLoadProgSource\n"); // Create the program for all GPUs in the context cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&source, &programLength, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clCreateProgramWithSource\n"); // build the program ciErrNum = clBuildProgram(cpProgram, 0, NULL, "-cl-fast-relaxed-math", NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and exit shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclSimpleMultiGPU.ptx"); oclCheckError(ciErrNum, CL_SUCCESS); } shrLog("clBuildProgram\n"); // Create host buffer with page-locked memory h_DataBuffer = clCreateBuffer(cxGPUContext, CL_MEM_COPY_HOST_PTR | CL_MEM_ALLOC_HOST_PTR, DATA_N * sizeof(float), h_Data, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clCreateBuffer (Page-locked Host)\n\n"); // Create buffers for each GPU, with data divided evenly among GPU's int sizePerGPU = DATA_N / ciDeviceCount; int workOffset[MAX_GPU_COUNT]; int workSize[MAX_GPU_COUNT]; workOffset[0] = 0; for(unsigned int i = 0; i < ciDeviceCount; ++i ) { workSize[i] = (i != (ciDeviceCount - 1)) ? sizePerGPU : (DATA_N - workOffset[i]); // Input buffer d_Data[i] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, workSize[i] * sizeof(float), NULL, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clCreateBuffer (Input)\t\tDev %i\n", i); // Copy data from host to device ciErrNum = clEnqueueCopyBuffer(commandQueue[i], h_DataBuffer, d_Data[i], workOffset[i] * sizeof(float), 0, workSize[i] * sizeof(float), 0, NULL, NULL); shrLog("clEnqueueCopyBuffer (Input)\tDev %i\n", i); // Output buffer d_Result[i] = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, ACCUM_N * sizeof(float), NULL, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clCreateBuffer (Output)\t\tDev %i\n", i); // Create kernel reduceKernel[i] = clCreateKernel(cpProgram, "reduce", &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clCreateKernel\t\t\tDev %i\n", i); // Set the args values and check for errors ciErrNum |= clSetKernelArg(reduceKernel[i], 0, sizeof(cl_mem), &d_Result[i]); ciErrNum |= clSetKernelArg(reduceKernel[i], 1, sizeof(cl_mem), &d_Data[i]); ciErrNum |= clSetKernelArg(reduceKernel[i], 2, sizeof(int), &workSize[i]); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clSetKernelArg\t\t\tDev %i\n\n", i); workOffset[i + 1] = workOffset[i] + workSize[i]; } // Set # of work items in work group and total in 1 dimensional range size_t localWorkSize[] = {THREAD_N}; size_t globalWorkSize[] = {ACCUM_N}; // Start timer and launch reduction kernel on each GPU, with data split between them shrLog("Launching Kernels on GPU(s)...\n\n"); for(unsigned int i = 0; i < ciDeviceCount; i++) { ciErrNum = clEnqueueNDRangeKernel(commandQueue[i], reduceKernel[i], 1, 0, globalWorkSize, localWorkSize, 0, NULL, &GPUExecution[i]); oclCheckError(ciErrNum, CL_SUCCESS); } // Copy result from device to host for each device for(unsigned int i = 0; i < ciDeviceCount; i++) { ciErrNum = clEnqueueReadBuffer(commandQueue[i], d_Result[i], CL_FALSE, 0, ACCUM_N * sizeof(float), h_SumGPU + i * ACCUM_N, 0, NULL, &GPUDone[i]); oclCheckError(ciErrNum, CL_SUCCESS); } // Synchronize with the GPUs and do accumulated error check clWaitForEvents(ciDeviceCount, GPUDone); shrLog("clWaitForEvents complete...\n\n"); // Aggregate results for multiple GPU's and stop/log processing time sumGPU = 0; for(unsigned int i = 0; i < ciDeviceCount * ACCUM_N; i++) { sumGPU += h_SumGPU[i]; } // Print Execution Times for each GPU #ifdef GPU_PROFILING shrLog("Profiling Information for GPU Processing:\n\n"); for(unsigned int i = 0; i < ciDeviceCount; i++) { cdDevice = oclGetDev(cxGPUContext, deviceNr[i]); clGetDeviceInfo(cdDevice, CL_DEVICE_NAME, sizeof(cDeviceName), cDeviceName, NULL); shrLog("Device %i : %s\n", deviceNr[i], cDeviceName); shrLog(" Reduce Kernel : %.5f s\n", executionTime(GPUExecution[i])); shrLog(" Copy Device->Host : %.5f s\n\n\n", executionTime(GPUDone[i])); } #endif // Run the computation on the Host CPU and log processing time shrLog("Launching Host/CPU C++ Computation...\n\n"); sumCPU = 0; for(unsigned int i = 0; i < DATA_N; i++) { sumCPU += h_Data[i]; } // Check GPU result against CPU result dRelError = 100.0 * fabs(sumCPU - sumGPU) / fabs(sumCPU); shrLog("Comparing against Host/C++ computation...\n"); shrLog(" GPU sum: %f\n CPU sum: %f\n", sumGPU, sumCPU); shrLog(" Relative Error (100.0 * Error / Golden) = %f \n\n", dRelError); // cleanup free(source); free(h_Data); for(unsigned int i = 0; i < ciDeviceCount; ++i ) { clReleaseKernel(reduceKernel[i]); clReleaseCommandQueue(commandQueue[i]); } clReleaseProgram(cpProgram); clReleaseContext(cxGPUContext); // finish shrQAFinishExit(argc, (const char **)argv, (dRelError < 1e-4) ? QA_PASSED : QA_FAILED); }
extern "C" void initBlackScholes(cl_context cxGPUContext, cl_command_queue cqParamCommandQueue, const char **argv){ cl_int ciErrNum; size_t kernelLength; shrLog("...loading BlackScholes.cl\n"); char *cPathAndName = shrFindFilePath("BlackScholes.cl", argv[0]); shrCheckError(cPathAndName != NULL, shrTRUE); char *cBlackScholes = oclLoadProgSource(cPathAndName, "// My comment\n", &kernelLength); shrCheckError(cBlackScholes != NULL, shrTRUE); shrLog("...creating BlackScholes program\n"); cpBlackScholes = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&cBlackScholes, &kernelLength, &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); shrLog("...building BlackScholes program\n"); ciErrNum = clBuildProgram(cpBlackScholes, 0, NULL, "-cl-fast-relaxed-math -Werror", NULL, NULL); if(ciErrNum != CL_BUILD_SUCCESS){ shrLog("*** Compilation failure ***\n"); size_t deviceNum; cl_device_id *cdDevices; ciErrNum = clGetContextInfo(cxGPUContext, CL_CONTEXT_DEVICES, 0, NULL, &deviceNum); shrCheckError(ciErrNum, CL_SUCCESS); cdDevices = (cl_device_id *)malloc(deviceNum * sizeof(cl_device_id)); shrCheckError(cdDevices != NULL, shrTRUE); ciErrNum = clGetContextInfo(cxGPUContext, CL_CONTEXT_DEVICES, deviceNum * sizeof(cl_device_id), cdDevices, NULL); shrCheckError(ciErrNum, CL_SUCCESS); size_t logSize; char *logTxt; ciErrNum = clGetProgramBuildInfo(cpBlackScholes, cdDevices[0], CL_PROGRAM_BUILD_LOG, 0, NULL, &logSize); shrCheckError(ciErrNum, CL_SUCCESS); logTxt = (char *)malloc(logSize); shrCheckError(logTxt != NULL, shrTRUE); ciErrNum = clGetProgramBuildInfo(cpBlackScholes, cdDevices[0], CL_PROGRAM_BUILD_LOG, logSize, logTxt, NULL); shrCheckError(ciErrNum, CL_SUCCESS); shrLog("%s\n", logTxt); shrLog("*** Exiting ***\n"); free(logTxt); free(cdDevices); exit(666); } //Save ptx code to separate file oclLogPtx(cpBlackScholes, oclGetFirstDev(cxGPUContext), "BlackScholes.ptx"); shrLog("...creating BlackScholes kernels\n"); ckBlackScholes = clCreateKernel(cpBlackScholes, "BlackScholes", &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); cqDefaultCommandQueue = cqParamCommandQueue; free(cBlackScholes); free(cPathAndName); }
// Main function // ********************************************************************* int main(int argc, char** argv) { shrQAStart(argc, argv); // get command line arg for quick test, if provided bNoPrompt = shrCheckCmdLineFlag(argc, (const char **)argv, "noprompt"); // start logs cExecutableName = argv[0]; shrSetLogFileName ("oclMatVecMul.txt"); shrLog("%s Starting...\n\n", argv[0]); // calculate matrix height given GPU memory shrLog("Determining Matrix height from available GPU mem...\n"); memsize_t memsize; getTargetDeviceGlobalMemSize(&memsize, argc, (const char **)argv); height = memsize/width/16; if (height > MAX_HEIGHT) height = MAX_HEIGHT; shrLog(" Matrix width\t= %u\n Matrix height\t= %u\n\n", width, height); // Allocate and initialize host arrays shrLog("Allocate and Init Host Mem...\n\n"); unsigned int size = width * height; unsigned int mem_size_M = size * sizeof(float); M = (float*)malloc(mem_size_M); unsigned int mem_size_V = width * sizeof(float); V = (float*)malloc(mem_size_V); unsigned int mem_size_W = height * sizeof(float); W = (float*)malloc(mem_size_W); shrFillArray(M, size); shrFillArray(V, width); Golden = (float*)malloc(mem_size_W); MatVecMulHost(M, V, width, height, Golden); //Get the NVIDIA platform shrLog("Get the Platform ID...\n\n"); ciErrNum = oclGetPlatformID(&cpPlatform); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); //Get all the devices shrLog("Get the Device info and select Device...\n"); ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 0, NULL, &uiNumDevices); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); cdDevices = (cl_device_id *)malloc(uiNumDevices * sizeof(cl_device_id) ); ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, uiNumDevices, cdDevices, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Set target device and Query number of compute units on targetDevice shrLog(" # of Devices Available = %u\n", uiNumDevices); if(shrGetCmdLineArgumentu(argc, (const char **)argv, "device", &targetDevice)== shrTRUE) { targetDevice = CLAMP(targetDevice, 0, (uiNumDevices - 1)); } shrLog(" Using Device %u: ", targetDevice); oclPrintDevName(LOGBOTH, cdDevices[targetDevice]); cl_uint num_compute_units; clGetDeviceInfo(cdDevices[targetDevice], CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(num_compute_units), &num_compute_units, NULL); shrLog("\n # of Compute Units = %u\n\n", num_compute_units); //Create the context shrLog("clCreateContext...\n"); cxGPUContext = clCreateContext(0, uiNumDevsUsed, &cdDevices[targetDevice], NULL, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Create a command-queue shrLog("clCreateCommandQueue...\n"); cqCommandQueue = clCreateCommandQueue(cxGPUContext, cdDevices[targetDevice], CL_QUEUE_PROFILING_ENABLE, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Allocate the OpenCL buffer memory objects for source and result on the device GMEM shrLog("clCreateBuffer (M, V and W in device global memory, mem_size_m = %u)...\n", mem_size_M); cmM = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, mem_size_M, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); cmV = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, mem_size_V, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); cmW = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, mem_size_W, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Read the OpenCL kernel in from source file shrLog("oclLoadProgSource (%s)...\n", cSourceFile); cPathAndName = shrFindFilePath(cSourceFile, argv[0]); oclCheckErrorEX(cPathAndName != NULL, shrTRUE, pCleanup); cSourceCL = oclLoadProgSource(cPathAndName, "", &szKernelLength); oclCheckErrorEX(cSourceCL != NULL, shrTRUE, pCleanup); // Create the program shrLog("clCreateProgramWithSource...\n"); cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&cSourceCL, &szKernelLength, &ciErrNum); // Build the program shrLog("clBuildProgram...\n"); ciErrNum = clBuildProgram(cpProgram, uiNumDevsUsed, &cdDevices[targetDevice], "-cl-fast-relaxed-math", NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and exit shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclMatVecMul.ptx"); shrQAFinish(argc, (const char **)argv, QA_FAILED); Cleanup(EXIT_FAILURE); } // -------------------------------------------------------- // Core sequence... copy input data to GPU, compute, copy results back // Asynchronous write of data to GPU device shrLog("clEnqueueWriteBuffer (M and V)...\n\n"); ciErrNum = clEnqueueWriteBuffer(cqCommandQueue, cmM, CL_FALSE, 0, mem_size_M, M, 0, NULL, NULL); ciErrNum |= clEnqueueWriteBuffer(cqCommandQueue, cmV, CL_FALSE, 0, mem_size_V, V, 0, NULL, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Kernels const char* kernels[] = { "MatVecMulUncoalesced0", "MatVecMulUncoalesced1", "MatVecMulCoalesced0", "MatVecMulCoalesced1", "MatVecMulCoalesced2", "MatVecMulCoalesced3" }; for (int k = 0; k < (int)(sizeof(kernels)/sizeof(char*)); ++k) { shrLog("Running with Kernel %s...\n\n", kernels[k]); // Clear result shrLog(" Clear result with clEnqueueWriteBuffer (W)...\n"); memset(W, 0, mem_size_W); ciErrNum = clEnqueueWriteBuffer(cqCommandQueue, cmW, CL_FALSE, 0, mem_size_W, W, 0, NULL, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Create the kernel shrLog(" clCreateKernel...\n"); if (ckKernel) { clReleaseKernel(ckKernel); ckKernel = 0; } ckKernel = clCreateKernel(cpProgram, kernels[k], &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Set and log Global and Local work size dimensions szLocalWorkSize = 256; if (k == 0) szGlobalWorkSize = shrRoundUp((int)szLocalWorkSize, height); // rounded up to the nearest multiple of the LocalWorkSize else // Some experiments should be done here for determining the best global work size for a given device // We will assume here that we can run 2 work-groups per compute unit szGlobalWorkSize = 2 * num_compute_units * szLocalWorkSize; shrLog(" Global Work Size \t\t= %u\n Local Work Size \t\t= %u\n # of Work Groups \t\t= %u\n", szGlobalWorkSize, szLocalWorkSize, (szGlobalWorkSize % szLocalWorkSize + szGlobalWorkSize/szLocalWorkSize)); // Set the Argument values shrLog(" clSetKernelArg...\n\n"); int n = 0; ciErrNum = clSetKernelArg(ckKernel, n++, sizeof(cl_mem), (void*)&cmM); ciErrNum |= clSetKernelArg(ckKernel, n++, sizeof(cl_mem), (void*)&cmV); ciErrNum |= clSetKernelArg(ckKernel, n++, sizeof(cl_int), (void*)&width); ciErrNum |= clSetKernelArg(ckKernel, n++, sizeof(cl_int), (void*)&height); ciErrNum |= clSetKernelArg(ckKernel, n++, sizeof(cl_mem), (void*)&cmW); if (k > 1) ciErrNum |= clSetKernelArg(ckKernel, n++, szLocalWorkSize * sizeof(float), 0); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Launch kernel shrLog(" clEnqueueNDRangeKernel (%s)...\n", kernels[k]); ciErrNum = clEnqueueNDRangeKernel(cqCommandQueue, ckKernel, 1, NULL, &szGlobalWorkSize, &szLocalWorkSize, 0, NULL, &ceEvent); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Read back results and check accumulated errors shrLog(" clEnqueueReadBuffer (W)...\n"); ciErrNum = clEnqueueReadBuffer(cqCommandQueue, cmW, CL_TRUE, 0, mem_size_W, W, 0, NULL, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); #ifdef GPU_PROFILING // Execution time ciErrNum = clWaitForEvents(1, &ceEvent); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); cl_ulong start, end; ciErrNum = clGetEventProfilingInfo(ceEvent, CL_PROFILING_COMMAND_END, sizeof(cl_ulong), &end, NULL); ciErrNum |= clGetEventProfilingInfo(ceEvent, CL_PROFILING_COMMAND_START, sizeof(cl_ulong), &start, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); double dSeconds = 1.0e-9 * (double)(end - start); shrLog(" Kernel execution time: %.5f s\n\n", dSeconds); #endif // Compare results for golden-host and report errors and pass/fail shrLog(" Comparing against Host/C++ computation...\n\n"); shrBOOL res = shrCompareL2fe(Golden, W, height, 1e-6f); shrLog(" GPU Result %s CPU Result within allowable tolerance\n\n", (res == shrTRUE) ? "MATCHES" : "DOESN'T MATCH"); bPassFlag &= (res == shrTRUE); // Release event ciErrNum = clReleaseEvent(ceEvent); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); ceEvent = 0; } // Master status Pass/Fail (all tests) shrQAFinish(argc, (const char **)argv, (bPassFlag ? QA_PASSED : QA_FAILED) ); // Cleanup and leave Cleanup (EXIT_SUCCESS); }
// Main function // ********************************************************************* int main(int argc, char** argv) { shrQAStart(argc, argv); int use_gpu = 0; for(int i = 0; i < argc && argv; i++) { if(!argv[i]) continue; if(strstr(argv[i], "cpu")) use_gpu = 0; else if(strstr(argv[i], "gpu")) use_gpu = 1; } // start logs shrSetLogFileName ("oclDXTCompression.txt"); shrLog("%s Starting...\n\n", argv[0]); cl_platform_id cpPlatform = NULL; cl_uint uiNumDevices = 0; cl_device_id *cdDevices = NULL; cl_context cxGPUContext; cl_command_queue cqCommandQueue; cl_program cpProgram; cl_kernel ckKernel; cl_mem cmMemObjs[3]; cl_mem cmAlphaTable4, cmProds4; cl_mem cmAlphaTable3, cmProds3; size_t szGlobalWorkSize[1]; size_t szLocalWorkSize[1]; cl_int ciErrNum; // Get the path of the filename char *filename; if (shrGetCmdLineArgumentstr(argc, (const char **)argv, "image", &filename)) { image_filename = filename; } // load image const char* image_path = shrFindFilePath(image_filename, argv[0]); oclCheckError(image_path != NULL, shrTRUE); shrLoadPPM4ub(image_path, (unsigned char **)&h_img, &width, &height); oclCheckError(h_img != NULL, shrTRUE); shrLog("Loaded '%s', %d x %d pixels\n\n", image_path, width, height); // Convert linear image to block linear. const uint memSize = width * height * sizeof(cl_uint); uint* block_image = (uint*)malloc(memSize); // Convert linear image to block linear. for(uint by = 0; by < height/4; by++) { for(uint bx = 0; bx < width/4; bx++) { for (int i = 0; i < 16; i++) { const int x = i & 3; const int y = i / 4; block_image[(by * width/4 + bx) * 16 + i] = ((uint *)h_img)[(by * 4 + y) * 4 * (width/4) + bx * 4 + x]; } } } // Get the NVIDIA platform ciErrNum = oclGetPlatformID(&cpPlatform); oclCheckError(ciErrNum, CL_SUCCESS); // Get the platform's GPU devices ciErrNum = clGetDeviceIDs(cpPlatform, use_gpu?CL_DEVICE_TYPE_GPU:CL_DEVICE_TYPE_CPU, 0, NULL, &uiNumDevices); oclCheckError(ciErrNum, CL_SUCCESS); cdDevices = (cl_device_id *)malloc(uiNumDevices * sizeof(cl_device_id) ); ciErrNum = clGetDeviceIDs(cpPlatform, use_gpu?CL_DEVICE_TYPE_GPU:CL_DEVICE_TYPE_CPU, uiNumDevices, cdDevices, NULL); oclCheckError(ciErrNum, CL_SUCCESS); // Create the context cxGPUContext = clCreateContext(0, uiNumDevices, cdDevices, NULL, NULL, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); // get and log device cl_device_id device; if( shrCheckCmdLineFlag(argc, (const char **)argv, "device") ) { int device_nr = 0; shrGetCmdLineArgumenti(argc, (const char **)argv, "device", &device_nr); device = oclGetDev(cxGPUContext, device_nr); if( device == (cl_device_id)-1 ) { shrLog(" Invalid GPU Device: devID=%d. %d valid GPU devices detected\n\n", device_nr, uiNumDevices); shrLog(" exiting...\n"); return -1; } } else { device = oclGetMaxFlopsDev(cxGPUContext); } oclPrintDevName(LOGBOTH, device); shrLog("\n"); // create a command-queue cqCommandQueue = clCreateCommandQueue(cxGPUContext, device, 0, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); // Memory Setup // Constants cmAlphaTable4 = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, 4 * sizeof(cl_float), (void*)&alphaTable4[0], &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); cmProds4 = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, 4 * sizeof(cl_int), (void*)&prods4[0], &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); cmAlphaTable3 = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, 4 * sizeof(cl_float), (void*)&alphaTable3[0], &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); cmProds3 = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, 4 * sizeof(cl_int), (void*)&prods3[0], &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); // Compute permutations. cl_uint permutations[1024]; computePermutations(permutations); // Upload permutations. cmMemObjs[0] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, sizeof(cl_uint) * 1024, permutations, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); // Image cmMemObjs[1] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, memSize, NULL, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); // Result const uint compressedSize = (width / 4) * (height / 4) * 8; cmMemObjs[2] = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, compressedSize, NULL , &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); unsigned int * h_result = (uint*)malloc(compressedSize); // Program Setup size_t program_length; const char* source_path = shrFindFilePath("DXTCompression.cl", argv[0]); oclCheckError(source_path != NULL, shrTRUE); char *source = oclLoadProgSource(source_path, "", &program_length); oclCheckError(source != NULL, shrTRUE); // create the program cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **) &source, &program_length, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); // build the program ciErrNum = clBuildProgram(cpProgram, 0, NULL, "-cl-fast-relaxed-math", NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and exit shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclDXTCompression.ptx"); oclCheckError(ciErrNum, CL_SUCCESS); } // create the kernel ckKernel = clCreateKernel(cpProgram, "compress", &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); // set the args values ciErrNum = clSetKernelArg(ckKernel, 0, sizeof(cl_mem), (void *) &cmMemObjs[0]); ciErrNum |= clSetKernelArg(ckKernel, 1, sizeof(cl_mem), (void *) &cmMemObjs[1]); ciErrNum |= clSetKernelArg(ckKernel, 2, sizeof(cl_mem), (void *) &cmMemObjs[2]); ciErrNum |= clSetKernelArg(ckKernel, 3, sizeof(cl_mem), (void*)&cmAlphaTable4); ciErrNum |= clSetKernelArg(ckKernel, 4, sizeof(cl_mem), (void*)&cmProds4); ciErrNum |= clSetKernelArg(ckKernel, 5, sizeof(cl_mem), (void*)&cmAlphaTable3); ciErrNum |= clSetKernelArg(ckKernel, 6, sizeof(cl_mem), (void*)&cmProds3); oclCheckError(ciErrNum, CL_SUCCESS); // Copy input data host to device clEnqueueWriteBuffer(cqCommandQueue, cmMemObjs[1], CL_FALSE, 0, sizeof(cl_uint) * width * height, block_image, 0,0,0); // Determine launch configuration and run timed computation numIterations times int blocks = ((width + 3) / 4) * ((height + 3) / 4); // rounds up by 1 block in each dim if %4 != 0 // Restrict the numbers of blocks to launch on low end GPUs to avoid kernel timeout cl_uint compute_units; clGetDeviceInfo(device, CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(compute_units), &compute_units, NULL); int blocksPerLaunch = MIN(blocks, 768 * (int)compute_units); // set work-item dimensions szGlobalWorkSize[0] = blocksPerLaunch * NUM_THREADS; szLocalWorkSize[0]= NUM_THREADS; #ifdef GPU_PROFILING shrLog("\nRunning DXT Compression on %u x %u image...\n", width, height); shrLog("\n%u Workgroups, %u Work Items per Workgroup, %u Work Items in NDRange...\n\n", blocks, NUM_THREADS, blocks * NUM_THREADS); int numIterations = 50; for (int i = -1; i < numIterations; ++i) { if (i == 0) { // start timing only after the first warmup iteration clFinish(cqCommandQueue); // flush command queue shrDeltaT(0); // start timer } #endif // execute kernel for( int j=0; j<blocks; j+= blocksPerLaunch ) { clSetKernelArg(ckKernel, 7, sizeof(int), &j); szGlobalWorkSize[0] = MIN( blocksPerLaunch, blocks-j ) * NUM_THREADS; ciErrNum = clEnqueueNDRangeKernel(cqCommandQueue, ckKernel, 1, NULL, szGlobalWorkSize, szLocalWorkSize, 0, NULL, NULL); oclCheckError(ciErrNum, CL_SUCCESS); } #ifdef GPU_PROFILING } clFinish(cqCommandQueue); double dAvgTime = shrDeltaT(0) / (double)numIterations; shrLogEx(LOGBOTH | MASTER, 0, "oclDXTCompression, Throughput = %.4f MPixels/s, Time = %.5f s, Size = %u Pixels, NumDevsUsed = %i, Workgroup = %d\n", (1.0e-6 * (double)(width * height)/ dAvgTime), dAvgTime, (width * height), 1, szLocalWorkSize[0]); #endif // blocking read output ciErrNum = clEnqueueReadBuffer(cqCommandQueue, cmMemObjs[2], CL_TRUE, 0, compressedSize, h_result, 0, NULL, NULL); oclCheckError(ciErrNum, CL_SUCCESS); // Write DDS file. FILE* fp = NULL; char output_filename[1024]; #ifdef WIN32 strcpy_s(output_filename, 1024, image_path); strcpy_s(output_filename + strlen(image_path) - 3, 1024 - strlen(image_path) + 3, "dds"); fopen_s(&fp, output_filename, "wb"); #else strcpy(output_filename, image_path); strcpy(output_filename + strlen(image_path) - 3, "dds"); fp = fopen(output_filename, "wb"); #endif oclCheckError(fp != NULL, shrTRUE); DDSHeader header; header.fourcc = FOURCC_DDS; header.size = 124; header.flags = (DDSD_WIDTH|DDSD_HEIGHT|DDSD_CAPS|DDSD_PIXELFORMAT|DDSD_LINEARSIZE); header.height = height; header.width = width; header.pitch = compressedSize; header.depth = 0; header.mipmapcount = 0; memset(header.reserved, 0, sizeof(header.reserved)); header.pf.size = 32; header.pf.flags = DDPF_FOURCC; header.pf.fourcc = FOURCC_DXT1; header.pf.bitcount = 0; header.pf.rmask = 0; header.pf.gmask = 0; header.pf.bmask = 0; header.pf.amask = 0; header.caps.caps1 = DDSCAPS_TEXTURE; header.caps.caps2 = 0; header.caps.caps3 = 0; header.caps.caps4 = 0; header.notused = 0; fwrite(&header, sizeof(DDSHeader), 1, fp); fwrite(h_result, compressedSize, 1, fp); fclose(fp); // Make sure the generated image matches the reference image (regression check) shrLog("\nComparing against Host/C++ computation...\n"); const char* reference_image_path = shrFindFilePath(refimage_filename, argv[0]); oclCheckError(reference_image_path != NULL, shrTRUE); // read in the reference image from file #ifdef WIN32 fopen_s(&fp, reference_image_path, "rb"); #else fp = fopen(reference_image_path, "rb"); #endif oclCheckError(fp != NULL, shrTRUE); fseek(fp, sizeof(DDSHeader), SEEK_SET); uint referenceSize = (width / 4) * (height / 4) * 8; uint * reference = (uint *)malloc(referenceSize); fread(reference, referenceSize, 1, fp); fclose(fp); // compare the reference image data to the sample/generated image float rms = 0; for (uint y = 0; y < height; y += 4) { for (uint x = 0; x < width; x += 4) { // binary comparison of data uint referenceBlockIdx = ((y/4) * (width/4) + (x/4)); uint resultBlockIdx = ((y/4) * (width/4) + (x/4)); int cmp = compareBlock(((BlockDXT1 *)h_result) + resultBlockIdx, ((BlockDXT1 *)reference) + referenceBlockIdx); // log deviations, if any if (cmp != 0.0f) { compareBlock(((BlockDXT1 *)h_result) + resultBlockIdx, ((BlockDXT1 *)reference) + referenceBlockIdx); shrLog("Deviation at (%d, %d):\t%f rms\n", x/4, y/4, float(cmp)/16/3); } rms += cmp; } } rms /= width * height * 3; shrLog("RMS(reference, result) = %f\n\n", rms); // Free OpenCL resources oclDeleteMemObjs(cmMemObjs, 3); clReleaseMemObject(cmAlphaTable4); clReleaseMemObject(cmProds4); clReleaseMemObject(cmAlphaTable3); clReleaseMemObject(cmProds3); clReleaseKernel(ckKernel); clReleaseProgram(cpProgram); clReleaseCommandQueue(cqCommandQueue); clReleaseContext(cxGPUContext); // Free host memory free(source); free(h_img); // finish shrQAFinishExit(argc, (const char **)argv, (rms <= ERROR_THRESHOLD) ? QA_PASSED : QA_FAILED); }
// Main program //***************************************************************************** int main(int argc, char** argv) { pArgc = &argc; pArgv = argv; shrQAStart(argc, argv); // Start logs cExecutableName = argv[0]; shrSetLogFileName ("oclSobelFilter.txt"); shrLog("%s Starting (Using %s)...\n\n", argv[0], clSourcefile); // Get command line args for quick test or QA test, if provided bNoPrompt = (bool)shrCheckCmdLineFlag(argc, (const char**)argv, "noprompt"); bQATest = (bool)shrCheckCmdLineFlag(argc, (const char**)argv, "qatest"); // Menu items if (!(bQATest)) { ShowMenuItems(); } // Find the path from the exe to the image file cPathAndName = shrFindFilePath(cImageFile, argv[0]); oclCheckErrorEX(cPathAndName != NULL, shrTRUE, pCleanup); shrLog("Image File\t = %s\nImage Dimensions = %u w x %u h x %u bpp\n\n", cPathAndName, uiImageWidth, uiImageHeight, sizeof(unsigned int)<<3); // Initialize OpenGL items (if not No-GL QA test) shrLog("%sInitGL...\n\n", bQATest ? "Skipping " : "Calling "); if (!(bQATest)) { InitGL(&argc, argv); } //Get the NVIDIA platform if available, otherwise use default char cBuffer[1024]; bool bNV = false; shrLog("Get Platform ID... "); ciErrNum = oclGetPlatformID(&cpPlatform); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); ciErrNum = clGetPlatformInfo (cpPlatform, CL_PLATFORM_NAME, sizeof(cBuffer), cBuffer, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); shrLog("%s\n\n", cBuffer); bNV = (strstr(cBuffer, "NVIDIA") != NULL); //Get the devices shrLog("Get Device Info...\n"); cl_uint uiNumAllDevs = 0; GpuDevMngr = new DeviceManager(cpPlatform, &uiNumAllDevs, pCleanup); // Get selected device if specified, otherwise examine avaiable ones and choose by perf cl_int iSelectedDevice = 0; if((shrGetCmdLineArgumenti(argc, (const char**)argv, "device", &iSelectedDevice)) || (uiNumAllDevs == 1)) { // Use 1 selected device GpuDevMngr->uiUsefulDevCt = 1; iSelectedDevice = CLAMP((cl_uint)iSelectedDevice, 0, (uiNumAllDevs - 1)); GpuDevMngr->uiUsefulDevs[0] = iSelectedDevice; GpuDevMngr->fLoadProportions[0] = 1.0f; shrLog(" Using 1 Selected Device for Sobel Filter Computation...\n"); } else { // Use available useful devices and Compute the device load proportions ciErrNum = GpuDevMngr->GetDevLoadProportions(bNV); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); if (GpuDevMngr->uiUsefulDevCt == 1) { iSelectedDevice = GpuDevMngr->uiUsefulDevs[0]; } shrLog(" Using %u Device(s) for Sobel Filter Computation\n", GpuDevMngr->uiUsefulDevCt); } //Create the context shrLog("\nclCreateContext...\n\n"); cxGPUContext = clCreateContext(0, uiNumAllDevs, GpuDevMngr->cdDevices, NULL, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Allocate per-device OpenCL objects for useful devices cqCommandQueue = new cl_command_queue[GpuDevMngr->uiUsefulDevCt]; ckSobel = new cl_kernel[GpuDevMngr->uiUsefulDevCt]; cmDevBufIn = new cl_mem[GpuDevMngr->uiUsefulDevCt]; cmDevBufOut = new cl_mem[GpuDevMngr->uiUsefulDevCt]; szAllocDevBytes = new size_t[GpuDevMngr->uiUsefulDevCt]; uiInHostPixOffsets = new cl_uint[GpuDevMngr->uiUsefulDevCt]; uiOutHostPixOffsets = new cl_uint[GpuDevMngr->uiUsefulDevCt]; uiDevImageHeight = new cl_uint[GpuDevMngr->uiUsefulDevCt]; // Create command queue(s) for device(s) shrLog("clCreateCommandQueue...\n"); for (cl_uint i = 0; i < GpuDevMngr->uiUsefulDevCt; i++) { cqCommandQueue[i] = clCreateCommandQueue(cxGPUContext, GpuDevMngr->cdDevices[GpuDevMngr->uiUsefulDevs[i]], 0, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); shrLog(" CommandQueue %u, Device %u, Device Load Proportion = %.2f, ", i, GpuDevMngr->uiUsefulDevs[i], GpuDevMngr->fLoadProportions[i]); oclPrintDevName(LOGBOTH, GpuDevMngr->cdDevices[GpuDevMngr->uiUsefulDevs[i]]); shrLog("\n"); } // Allocate pinned input and output host image buffers: mem copy operations to/from pinned memory is much faster than paged memory szBuffBytes = uiImageWidth * uiImageHeight * sizeof (unsigned int); cmPinnedBufIn = clCreateBuffer(cxGPUContext, CL_MEM_READ_WRITE | CL_MEM_ALLOC_HOST_PTR, szBuffBytes, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); cmPinnedBufOut = clCreateBuffer(cxGPUContext, CL_MEM_READ_WRITE | CL_MEM_ALLOC_HOST_PTR, szBuffBytes, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); shrLog("\nclCreateBuffer (Input and Output Pinned Host buffers)...\n"); // Get mapped pointers for writing to pinned input and output host image pointers uiInput = (cl_uint*)clEnqueueMapBuffer(cqCommandQueue[0], cmPinnedBufIn, CL_TRUE, CL_MAP_WRITE, 0, szBuffBytes, 0, NULL, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); uiOutput = (cl_uint*)clEnqueueMapBuffer(cqCommandQueue[0], cmPinnedBufOut, CL_TRUE, CL_MAP_READ, 0, szBuffBytes, 0, NULL, NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); shrLog("clEnqueueMapBuffer (Pointer to Input and Output pinned host buffers)...\n"); // Load image data from file to pinned input host buffer ciErrNum = shrLoadPPM4ub(cPathAndName, (unsigned char **)&uiInput, &uiImageWidth, &uiImageHeight); oclCheckErrorEX(ciErrNum, shrTRUE, pCleanup); shrLog("Load Input Image to Input pinned host buffer...\n"); // Read the kernel in from file free(cPathAndName); cPathAndName = shrFindFilePath(clSourcefile, argv[0]); oclCheckErrorEX(cPathAndName != NULL, shrTRUE, pCleanup); cSourceCL = oclLoadProgSource(cPathAndName, "// My comment\n", &szKernelLength); oclCheckErrorEX(cSourceCL != NULL, shrTRUE, pCleanup); shrLog("Load OpenCL Prog Source from File...\n"); // Create the program object cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&cSourceCL, &szKernelLength, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); shrLog("clCreateProgramWithSource...\n"); // Build the program with 'mad' Optimization option #ifdef MAC char *flags = "-cl-fast-relaxed-math -DMAC"; #else char *flags = "-cl-fast-relaxed-math"; #endif ciErrNum = clBuildProgram(cpProgram, 0, NULL, flags, NULL, NULL); if (ciErrNum != CL_SUCCESS) { // On error: write out standard error, Build Log and PTX, then cleanup and exit shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclSobelFilter.ptx"); Cleanup(EXIT_FAILURE); } shrLog("clBuildProgram...\n\n"); // Determine, the size/shape of the image portions for each dev and create the device buffers unsigned uiSumHeight = 0; for (cl_uint i = 0; i < GpuDevMngr->uiUsefulDevCt; i++) { // Create kernel instance ckSobel[i] = clCreateKernel(cpProgram, "ckSobel", &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); shrLog("clCreateKernel (ckSobel), Device %u...\n", i); // Allocations and offsets for the portion of the image worked on by each device if (GpuDevMngr->uiUsefulDevCt == 1) { // One device processes the whole image with no offset uiDevImageHeight[i] = uiImageHeight; uiInHostPixOffsets[i] = 0; uiOutHostPixOffsets[i] = 0; szAllocDevBytes[i] = uiDevImageHeight[i] * uiImageWidth * sizeof(cl_uint); } else if (i == 0) { // Multiple devices, top stripe zone including topmost row of image: // Over-allocate on device by 1 row // Set offset and size to copy extra 1 padding row H2D (below bottom of stripe) // Won't return the last row (dark/garbage row) D2H uiInHostPixOffsets[i] = 0; uiOutHostPixOffsets[i] = 0; uiDevImageHeight[i] = (cl_uint)(GpuDevMngr->fLoadProportions[GpuDevMngr->uiUsefulDevs[i]] * (float)uiImageHeight); // height is proportional to dev perf uiSumHeight += uiDevImageHeight[i]; uiDevImageHeight[i] += 1; szAllocDevBytes[i] = uiDevImageHeight[i] * uiImageWidth * sizeof(cl_uint); } else if (i < (GpuDevMngr->uiUsefulDevCt - 1)) { // Multiple devices, middle stripe zone: // Over-allocate on device by 2 rows // Set offset and size to copy extra 2 padding rows H2D (above top and below bottom of stripe) // Won't return the first and last rows (dark/garbage rows) D2H uiInHostPixOffsets[i] = (uiSumHeight - 1) * uiImageWidth; uiOutHostPixOffsets[i] = uiInHostPixOffsets[i] + uiImageWidth; uiDevImageHeight[i] = (cl_uint)(GpuDevMngr->fLoadProportions[GpuDevMngr->uiUsefulDevs[i]] * (float)uiImageHeight); // height is proportional to dev perf uiSumHeight += uiDevImageHeight[i]; uiDevImageHeight[i] += 2; szAllocDevBytes[i] = uiDevImageHeight[i] * uiImageWidth * sizeof(cl_uint); } else { // Multiple devices, last boundary tile: // Over-allocate on device by 1 row // Set offset and size to copy extra 1 padding row H2D (above top of stripe) // Won't return the first row (dark/garbage rows D2H uiInHostPixOffsets[i] = (uiSumHeight - 1) * uiImageWidth; uiOutHostPixOffsets[i] = uiInHostPixOffsets[i] + uiImageWidth; uiDevImageHeight[i] = uiImageHeight - uiSumHeight; // "leftover" rows uiSumHeight += uiDevImageHeight[i]; uiDevImageHeight[i] += 1; szAllocDevBytes[i] = uiDevImageHeight[i] * uiImageWidth * sizeof(cl_uint); } shrLog("Image Height (rows) for Device %u = %u...\n", i, uiDevImageHeight[i]); // Create the device buffers in GMEM on each device cmDevBufIn[i] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, szAllocDevBytes[i], NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); cmDevBufOut[i] = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, szAllocDevBytes[i], NULL, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); shrLog("clCreateBuffer (Input and Output GMEM buffers, Device %u)...\n", i); // Set the common argument values for the Median kernel instance for each device int iLocalPixPitch = iBlockDimX + 2; ciErrNum = clSetKernelArg(ckSobel[i], 0, sizeof(cl_mem), (void*)&cmDevBufIn[i]); ciErrNum |= clSetKernelArg(ckSobel[i], 1, sizeof(cl_mem), (void*)&cmDevBufOut[i]); ciErrNum |= clSetKernelArg(ckSobel[i], 2, (iLocalPixPitch * (iBlockDimY + 2) * sizeof(cl_uchar4)), NULL); ciErrNum |= clSetKernelArg(ckSobel[i], 3, sizeof(cl_int), (void*)&iLocalPixPitch); ciErrNum |= clSetKernelArg(ckSobel[i], 4, sizeof(cl_uint), (void*)&uiImageWidth); ciErrNum |= clSetKernelArg(ckSobel[i], 6, sizeof(cl_float), (void*)&fThresh); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); shrLog("clSetKernelArg (0-4), Device %u...\n\n", i); } // Set common global and local work sizes for Median kernel szLocalWorkSize[0] = iBlockDimX; szLocalWorkSize[1] = iBlockDimY; szGlobalWorkSize[0] = shrRoundUp((int)szLocalWorkSize[0], uiImageWidth); // init running timers shrDeltaT(0); // timer 0 used for computation timing shrDeltaT(1); // timer 1 used for fps computation // Start main GLUT rendering loop for processing and rendering, // or otherwise run No-GL Q/A test sequence if (!(bQATest)) { glutMainLoop(); } else { TestNoGL(); } Cleanup(EXIT_SUCCESS); }
/** * Helper function that will load the OpenCL source program, build and return a handle to that OpenCL kernel * @param context - the OpenCL context * @param device - the device to compile for * @param program - the program that is being built (in/out) * @param sourcePath - full path to the source file * @param options - build options, e.g. define flags("-D name=value") * @return an error code on failure, 0 on success */ cl_program CLState::compileOCLProgram(const char* sourcePath, const std::string& options) { cl_int errNum; size_t program_length; oclCheckError(sourcePath != NULL, shrTRUE); char *source = oclLoadProgSource(sourcePath, "", &program_length); if (!source) { shrLog("Error: Failed to load compute program %s!\n", sourcePath); BOOST_THROW_EXCEPTION( runtime_error() << error_message( (std::string( "Error: Failed to load cl program source from ") + sourcePath).c_str())); } // create the simple increment OpenCL program cl_program program = clCreateProgramWithSource(context, 1, (const char **) &source, &program_length, &errNum); if (errNum != CL_SUCCESS) { shrLog("Error: Failed to create program\n"); BOOST_THROW_EXCEPTION(runtime_error() << cl_error_code(errNum)); } else { shrLog("clCreateProgramWithSource <%s> succeeded, program_length=%d\n", sourcePath, program_length); } free(source); // build the program cl_build_status build_status = CL_SUCCESS; errNum = clBuildProgram(program, 0, NULL, std::string( "-cl-fast-relaxed-math -cl-nv-verbose" + options).c_str(), NULL, NULL); if (errNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then return error shrLogEx(LOGBOTH | ERRORMSG, errNum, STDERROR); oclLogBuildInfo(program, oclGetFirstDev(context)); oclLogPtx(program, oclGetFirstDev(context), "build_error.ptx"); BOOST_THROW_EXCEPTION(runtime_error() << cl_error_code(errNum)); } else { shrLog("clBuildProgram <%s> succeeded\n", sourcePath); if (this->execDevices != NULL) { for (uint iDevice = 0; iDevice < this->execDeviceCount && build_status == CL_SUCCESS && errNum == CL_SUCCESS; iDevice++) { cl_device_id device = this->execDevices[iDevice]; errNum = clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_STATUS, sizeof(cl_build_status), &build_status, NULL); shrLog("clGetProgramBuildInfo returned: "); if (build_status == CL_SUCCESS) { shrLog("CL_SUCCESS\n"); } else { shrLog("CLErrorNumber = %d\n", errNum); } // print out the build log, note in the case where there is nothing shown, some OpenCL PTX->SASS caching has happened { char *build_log; size_t ret_val_size; errNum = clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_LOG, 0, NULL, &ret_val_size); if (errNum != CL_SUCCESS) { shrLog( "clGetProgramBuildInfo device %d, failed to get the log size at line %d\n", device, __LINE__); } build_log = (char *) malloc(ret_val_size + 1); errNum = clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_LOG, ret_val_size, build_log, NULL); if (errNum != CL_SUCCESS) { shrLog( "clGetProgramBuildInfo device %d, failed to get the build log at line %d\n", device, __LINE__); } // to be carefully, terminate with \0 // there's no information in the reference whether the string is 0 terminated or not build_log[ret_val_size] = '\0'; shrLog("%s\n", build_log); } } } } this->programs.push_back(program); return program; }
// Init OpenCL //***************************************************************************** int initCL(int argc, const char** argv) { cl_platform_id cpPlatform; cl_uint uiDevCount; cl_device_id *cdDevices; //Get the NVIDIA platform ciErrNum = oclGetPlatformID(&cpPlatform); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Get the number of GPU devices available to the platform ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 0, NULL, &uiDevCount); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Create the device list cdDevices = new cl_device_id [uiDevCount]; ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, uiDevCount, cdDevices, NULL); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Get device requested on command line, if any unsigned int uiDeviceUsed = 0; unsigned int uiEndDev = uiDevCount - 1; if(shrGetCmdLineArgumentu(argc, argv, "device", &uiDeviceUsed)) { uiDeviceUsed = CLAMP(uiDeviceUsed, 0, uiEndDev); uiEndDev = uiDeviceUsed; } // Check if the requested device (or any of the devices if none requested) supports context sharing with OpenGL if(bGLinterop && !bQATest) { bool bSharingSupported = false; for(unsigned int i = uiDeviceUsed; (!bSharingSupported && (i <= uiEndDev)); ++i) { size_t extensionSize; ciErrNum = clGetDeviceInfo(cdDevices[i], CL_DEVICE_EXTENSIONS, 0, NULL, &extensionSize ); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); if(extensionSize > 0) { char* extensions = (char*)malloc(extensionSize); ciErrNum = clGetDeviceInfo(cdDevices[i], CL_DEVICE_EXTENSIONS, extensionSize, extensions, &extensionSize); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); std::string stdDevString(extensions); free(extensions); size_t szOldPos = 0; size_t szSpacePos = stdDevString.find(' ', szOldPos); // extensions string is space delimited while (szSpacePos != stdDevString.npos) { if( strcmp(GL_SHARING_EXTENSION, stdDevString.substr(szOldPos, szSpacePos - szOldPos).c_str()) == 0 ) { // Device supports context sharing with OpenGL uiDeviceUsed = i; bSharingSupported = true; break; } do { szOldPos = szSpacePos + 1; szSpacePos = stdDevString.find(' ', szOldPos); } while (szSpacePos == szOldPos); } } } shrLog("%s...\n\n", bSharingSupported ? "Using CL-GL Interop" : "No device found that supports CL/GL context sharing"); oclCheckErrorEX(bSharingSupported, true, pCleanup); // Define OS-specific context properties and create the OpenCL context #if defined (__APPLE__) || defined (MACOSX) CGLContextObj kCGLContext = CGLGetCurrentContext(); CGLShareGroupObj kCGLShareGroup = CGLGetShareGroup(kCGLContext); cl_context_properties props[] = { CL_CONTEXT_PROPERTY_USE_CGL_SHAREGROUP_APPLE, (cl_context_properties)kCGLShareGroup, 0 }; cxGPUContext = clCreateContext(props, 0,0, NULL, NULL, &ciErrNum); #else #ifdef UNIX cl_context_properties props[] = { CL_GL_CONTEXT_KHR, (cl_context_properties)glXGetCurrentContext(), CL_GLX_DISPLAY_KHR, (cl_context_properties)glXGetCurrentDisplay(), CL_CONTEXT_PLATFORM, (cl_context_properties)cpPlatform, 0 }; cxGPUContext = clCreateContext(props, 1, &cdDevices[uiDeviceUsed], NULL, NULL, &ciErrNum); #else // Win32 cl_context_properties props[] = { CL_GL_CONTEXT_KHR, (cl_context_properties)wglGetCurrentContext(), CL_WGL_HDC_KHR, (cl_context_properties)wglGetCurrentDC(), CL_CONTEXT_PLATFORM, (cl_context_properties)cpPlatform, 0 }; cxGPUContext = clCreateContext(props, 1, &cdDevices[uiDeviceUsed], NULL, NULL, &ciErrNum); #endif #endif } else { // No GL interop cl_context_properties props[] = {CL_CONTEXT_PLATFORM, (cl_context_properties)cpPlatform, 0}; cxGPUContext = clCreateContext(props, 1, &cdDevices[uiDeviceUsed], NULL, NULL, &ciErrNum); bGLinterop = shrFALSE; } shrCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Log device used shrLog("Device # %u, ", uiDeviceUsed); oclPrintDevName(LOGBOTH, cdDevices[uiDeviceUsed]); shrLog("\n"); // create a command-queue cqCommandQueue = clCreateCommandQueue(cxGPUContext, cdDevices[uiDeviceUsed], 0, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Memory Setup if( bGLinterop ) { cl_pbos[0] = clCreateFromGLBuffer(cxGPUContext, CL_MEM_READ_ONLY, pbo_source, &ciErrNum); cl_pbos[1] = clCreateFromGLBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, pbo_dest, &ciErrNum); } else { cl_pbos[0] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, 4 * image_width * image_height, NULL, &ciErrNum); cl_pbos[1] = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, 4 * image_width * image_height, NULL, &ciErrNum); } oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Program Setup size_t program_length; const char* source_path = shrFindFilePath(clSourcefile, argv[0]); char *source = oclLoadProgSource(source_path, "", &program_length); oclCheckErrorEX(source != NULL, shrTRUE, pCleanup); // create the program cpProgram = clCreateProgramWithSource(cxGPUContext, 1,(const char **) &source, &program_length, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); free(source); // build the program ciErrNum = clBuildProgram(cpProgram, 0, NULL, "-cl-fast-relaxed-math", NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and exit shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclPostProcessGL.ptx"); Cleanup(EXIT_FAILURE); } // create the kernel ckKernel = clCreateKernel(cpProgram, "postprocess", &ciErrNum); // set the args values ciErrNum |= clSetKernelArg(ckKernel, 0, sizeof(cl_mem), (void *) &(cl_pbos[0])); ciErrNum |= clSetKernelArg(ckKernel, 1, sizeof(cl_mem), (void *) &(cl_pbos[1])); ciErrNum |= clSetKernelArg(ckKernel, 2, sizeof(image_width), &image_width); ciErrNum |= clSetKernelArg(ckKernel, 3, sizeof(image_width), &image_height); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); return 0; }
int InitOpenCLContext() { // start logs shrSetLogFileName ("oclVolumeRender.txt"); // get command line arg for quick test, if provided // process command line arguments // First initialize OpenGL context, so we can properly setup the OpenGL / OpenCL interop. // glewInit(); // GLboolean bGLEW = glewIsSupported("GL_VERSION_2_0 GL_ARB_pixel_buffer_object"); // oclCheckErrorEX(bGLEW, shrTRUE, pCleanup); g_glInterop = true; // Create OpenCL context, get device info, select device, select options for image/texture and CL-GL interop createCLContext(); // Print device info clGetDeviceInfo(cdDevices[uiDeviceUsed], CL_DEVICE_IMAGE_SUPPORT, sizeof(g_bImageSupport), &g_bImageSupport, NULL); //shrLog("%s...\n\n", g_bImageSupport ? "Using Image (Texture)" : "No Image (Texuture) Support"); // shrLog("Detailed Device info:\n\n"); oclPrintDevInfo(LOGBOTH, cdDevices[uiDeviceUsed]); // create a command-queue cqCommandQueue = clCreateCommandQueue(cxGPUContext, cdDevices[uiDeviceUsed], 0, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // Program Setup size_t program_length; cPathAndName = shrFindFilePath("Transform.cl", "."); oclCheckErrorEX(cPathAndName != NULL, shrTRUE, pCleanup); cSourceCL = oclLoadProgSource(cPathAndName, "", &program_length); oclCheckErrorEX(cSourceCL != NULL, shrTRUE, pCleanup); // create the program cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&cSourceCL, &program_length, &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); // build the program std::string buildOpts = "-cl-single-precision_constant"; // buildOpts += g_bImageSupport ? " -DIMAGE_SUPPORT" : ""; // ciErrNum = clBuildProgram(cpProgram, 1, &cdDevices[uiDeviceUsed],"-cl-fast-relaxed-math", NULL, NULL); ciErrNum = clBuildProgram(cpProgram, 1, &cdDevices[uiDeviceUsed],NULL, NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and return error shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclVolumeRender.ptx"); Cleanup(EXIT_FAILURE); } // create the kernel ScalseKernel = clCreateKernel(cpProgram, "d_render", &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); TransformKernel = clCreateKernel(cpProgram, "angle", &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); LongToShortKernel = clCreateKernel(cpProgram, "transfer", &ciErrNum); oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); return TRUE; }
// Main function // ********************************************************************* int main(const int argc, const char** argv) { // start logs shrSetLogFileName ("oclDXTCompression.txt"); shrLog(LOGBOTH, 0, "%s Starting...\n\n", argv[0]); cl_context cxGPUContext; cl_command_queue cqCommandQueue; cl_program cpProgram; cl_kernel ckKernel; cl_mem cmMemObjs[3]; size_t szGlobalWorkSize[1]; size_t szLocalWorkSize[1]; cl_int ciErrNum; // Get the path of the filename char *filename; if (shrGetCmdLineArgumentstr(argc, argv, "image", &filename)) { image_filename = filename; } // load image const char* image_path = shrFindFilePath(image_filename, argv[0]); shrCheckError(image_path != NULL, shrTRUE); shrLoadPPM4ub(image_path, (unsigned char **)&h_img, &width, &height); shrCheckError(h_img != NULL, shrTRUE); shrLog(LOGBOTH, 0, "Loaded '%s', %d x %d pixels\n", image_path, width, height); // Convert linear image to block linear. uint * block_image = (uint *) malloc(width * height * 4); // Convert linear image to block linear. for(uint by = 0; by < height/4; by++) { for(uint bx = 0; bx < width/4; bx++) { for (int i = 0; i < 16; i++) { const int x = i & 3; const int y = i / 4; block_image[(by * width/4 + bx) * 16 + i] = ((uint *)h_img)[(by * 4 + y) * 4 * (width/4) + bx * 4 + x]; } } } // create the OpenCL context on a GPU device cxGPUContext = clCreateContextFromType(0, CL_DEVICE_TYPE_GPU, NULL, NULL, &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); // get and log device cl_device_id device; if( shrCheckCmdLineFlag(argc, argv, "device") ) { int device_nr = 0; shrGetCmdLineArgumenti(argc, argv, "device", &device_nr); device = oclGetDev(cxGPUContext, device_nr); } else { device = oclGetMaxFlopsDev(cxGPUContext); } oclPrintDevInfo(LOGBOTH, device); // create a command-queue cqCommandQueue = clCreateCommandQueue(cxGPUContext, device, 0, &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); // Memory Setup // Compute permutations. cl_uint permutations[1024]; computePermutations(permutations); // Upload permutations. cmMemObjs[0] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, sizeof(cl_uint) * 1024, permutations, &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); // Image cmMemObjs[1] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY , sizeof(cl_uint) * width * height, NULL, &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); // Result const uint compressedSize = (width / 4) * (height / 4) * 8; cmMemObjs[2] = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, compressedSize, NULL , &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); unsigned int * h_result = (uint *)malloc(compressedSize); // Program Setup size_t program_length; const char* source_path = shrFindFilePath("DXTCompression.cl", argv[0]); shrCheckError(source_path != NULL, shrTRUE); char *source = oclLoadProgSource(source_path, "", &program_length); shrCheckError(source != NULL, shrTRUE); // create the program cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **) &source, &program_length, &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); // build the program ciErrNum = clBuildProgram(cpProgram, 0, NULL, "-cl-mad-enable", NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and exit shrLog(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclDXTCompression.ptx"); shrCheckError(ciErrNum, CL_SUCCESS); } // create the kernel ckKernel = clCreateKernel(cpProgram, "compress", &ciErrNum); shrCheckError(ciErrNum, CL_SUCCESS); // set the args values ciErrNum = clSetKernelArg(ckKernel, 0, sizeof(cl_mem), (void *) &cmMemObjs[0]); ciErrNum |= clSetKernelArg(ckKernel, 1, sizeof(cl_mem), (void *) &cmMemObjs[1]); ciErrNum |= clSetKernelArg(ckKernel, 2, sizeof(cl_mem), (void *) &cmMemObjs[2]); ciErrNum |= clSetKernelArg(ckKernel, 3, sizeof(float) * 4 * 16, NULL); ciErrNum |= clSetKernelArg(ckKernel, 4, sizeof(float) * 4 * 16, NULL); ciErrNum |= clSetKernelArg(ckKernel, 5, sizeof(int) * 64, NULL); ciErrNum |= clSetKernelArg(ckKernel, 6, sizeof(float) * 16 * 6, NULL); ciErrNum |= clSetKernelArg(ckKernel, 7, sizeof(unsigned int) * 160, NULL); ciErrNum |= clSetKernelArg(ckKernel, 8, sizeof(int) * 16, NULL); shrCheckError(ciErrNum, CL_SUCCESS); shrLog(LOGBOTH, 0, "Running DXT Compression on %u x %u image...\n\n", width, height); // Upload the image clEnqueueWriteBuffer(cqCommandQueue, cmMemObjs[1], CL_FALSE, 0, sizeof(cl_uint) * width * height, block_image, 0,0,0); // set work-item dimensions szGlobalWorkSize[0] = width * height * (NUM_THREADS/16); szLocalWorkSize[0]= NUM_THREADS; #ifdef GPU_PROFILING int numIterations = 100; for (int i = -1; i < numIterations; ++i) { if (i == 0) { // start timing only after the first warmup iteration clFinish(cqCommandQueue); // flush command queue shrDeltaT(0); // start timer } #endif // execute kernel ciErrNum = clEnqueueNDRangeKernel(cqCommandQueue, ckKernel, 1, NULL, szGlobalWorkSize, szLocalWorkSize, 0, NULL, NULL); shrCheckError(ciErrNum, CL_SUCCESS); #ifdef GPU_PROFILING } clFinish(cqCommandQueue); double dAvgTime = shrDeltaT(0) / (double)numIterations; shrLog(LOGBOTH | MASTER, 0, "oclDXTCompression, Throughput = %.4f, Time = %.5f, Size = %u, NumDevsUsed = %i\n", (1.0e-6 * (double)(width * height)/ dAvgTime), dAvgTime, (width * height), 1); #endif // blocking read output ciErrNum = clEnqueueReadBuffer(cqCommandQueue, cmMemObjs[2], CL_TRUE, 0, compressedSize, h_result, 0, NULL, NULL); shrCheckError(ciErrNum, CL_SUCCESS); // Write DDS file. FILE* fp = NULL; char output_filename[1024]; #ifdef WIN32 strcpy_s(output_filename, 1024, image_path); strcpy_s(output_filename + strlen(image_path) - 3, 1024 - strlen(image_path) + 3, "dds"); fopen_s(&fp, output_filename, "wb"); #else strcpy(output_filename, image_path); strcpy(output_filename + strlen(image_path) - 3, "dds"); fp = fopen(output_filename, "wb"); #endif shrCheckError(fp != NULL, shrTRUE); DDSHeader header; header.fourcc = FOURCC_DDS; header.size = 124; header.flags = (DDSD_WIDTH|DDSD_HEIGHT|DDSD_CAPS|DDSD_PIXELFORMAT|DDSD_LINEARSIZE); header.height = height; header.width = width; header.pitch = compressedSize; header.depth = 0; header.mipmapcount = 0; memset(header.reserved, 0, sizeof(header.reserved)); header.pf.size = 32; header.pf.flags = DDPF_FOURCC; header.pf.fourcc = FOURCC_DXT1; header.pf.bitcount = 0; header.pf.rmask = 0; header.pf.gmask = 0; header.pf.bmask = 0; header.pf.amask = 0; header.caps.caps1 = DDSCAPS_TEXTURE; header.caps.caps2 = 0; header.caps.caps3 = 0; header.caps.caps4 = 0; header.notused = 0; fwrite(&header, sizeof(DDSHeader), 1, fp); fwrite(h_result, compressedSize, 1, fp); fclose(fp); // Make sure the generated image matches the reference image (regression check) shrLog(LOGBOTH, 0, "\nComparing against Host/C++ computation...\n"); const char* reference_image_path = shrFindFilePath(refimage_filename, argv[0]); shrCheckError(reference_image_path != NULL, shrTRUE); // read in the reference image from file #ifdef WIN32 fopen_s(&fp, reference_image_path, "rb"); #else fp = fopen(reference_image_path, "rb"); #endif shrCheckError(fp != NULL, shrTRUE); fseek(fp, sizeof(DDSHeader), SEEK_SET); uint referenceSize = (width / 4) * (height / 4) * 8; uint * reference = (uint *)malloc(referenceSize); fread(reference, referenceSize, 1, fp); fclose(fp); // compare the reference image data to the sample/generated image float rms = 0; for (uint y = 0; y < height; y += 4) { for (uint x = 0; x < width; x += 4) { // binary comparison of data uint referenceBlockIdx = ((y/4) * (width/4) + (x/4)); uint resultBlockIdx = ((y/4) * (width/4) + (x/4)); int cmp = compareBlock(((BlockDXT1 *)h_result) + resultBlockIdx, ((BlockDXT1 *)reference) + referenceBlockIdx); // log deviations, if any if (cmp != 0.0f) { compareBlock(((BlockDXT1 *)h_result) + resultBlockIdx, ((BlockDXT1 *)reference) + referenceBlockIdx); shrLog(LOGBOTH, 0, "Deviation at (%d, %d):\t%f rms\n", x/4, y/4, float(cmp)/16/3); } rms += cmp; } } rms /= width * height * 3; shrLog(LOGBOTH, 0, "RMS(reference, result) = %f\n\n", rms); shrLog(LOGBOTH, 0, "TEST %s\n\n", (rms <= ERROR_THRESHOLD) ? "PASSED" : "FAILED !!!"); // Free OpenCL resources oclDeleteMemObjs(cmMemObjs, 3); clReleaseKernel(ckKernel); clReleaseProgram(cpProgram); clReleaseCommandQueue(cqCommandQueue); clReleaseContext(cxGPUContext); // Free host memory free(source); free(h_img); // finish shrEXIT(argc, argv); }
// Function to read in kernel from uncompiled source, create the OCL program and build the OCL program // ************************************************************************************************** int CreateProgramAndKernel(cl_context cxGPUContext, cl_device_id* cdDevices, const char *kernel_name, cl_kernel *kernel, bool bDouble) { cl_program cpProgram; size_t szSourceLen; cl_int ciErrNum = CL_SUCCESS; // Read the kernel in from file shrLog("\nLoading Uncompiled kernel from .cl file, using %s\n", clSourcefile); char* cPathAndFile = shrFindFilePath(clSourcefile, cExecutablePath); oclCheckError(cPathAndFile != NULL, shrTRUE); char* pcSource = oclLoadProgSource(cPathAndFile, "", &szSourceLen); oclCheckError(pcSource != NULL, shrTRUE); // Check OpenCL version -> vec3 types are supported only from version 1.1 and above char cOCLVersion[32]; clGetDeviceInfo(cdDevices[0], CL_DEVICE_VERSION, sizeof(cOCLVersion), &cOCLVersion, 0); int iVec3Length = 3; if( strncmp("OpenCL 1.0", cOCLVersion, 10) == 0 ) { iVec3Length = 4; } //for double precision char *pcSourceForDouble; std::stringstream header; if (bDouble) { header << "#define REAL double"; header << std::endl; header << "#define REAL4 double4"; header << std::endl; header << "#define REAL3 double" << iVec3Length; header << std::endl; header << "#define ZERO3 {0.0, 0.0, 0.0" << ((iVec3Length == 4) ? ", 0.0}" : "}"); header << std::endl; } else { header << "#define REAL float"; header << std::endl; header << "#define REAL4 float4"; header << std::endl; header << "#define REAL3 float" << iVec3Length; header << std::endl; header << "#define ZERO3 {0.0f, 0.0f, 0.0f" << ((iVec3Length == 4) ? ", 0.0f}" : "}"); header << std::endl; } header << pcSource; pcSourceForDouble = (char *)malloc(header.str().size() + 1); szSourceLen = header.str().size(); #ifdef WIN32 strcpy_s(pcSourceForDouble, szSourceLen + 1, header.str().c_str()); #else strcpy(pcSourceForDouble, header.str().c_str()); #endif // create the program cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&pcSourceForDouble, &szSourceLen, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clCreateProgramWithSource\n"); // Build the program with 'mad' Optimization option #ifdef MAC char *flags = "-cl-fast-relaxed-math -DMAC"; #else char *flags = "-cl-fast-relaxed-math"; #endif ciErrNum = clBuildProgram(cpProgram, 0, NULL, flags, NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and exit shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclNbody.ptx"); oclCheckError(ciErrNum, CL_SUCCESS); } shrLog("clBuildProgram\n"); // create the kernel *kernel = clCreateKernel(cpProgram, kernel_name, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); shrLog("clCreateKernel\n"); size_t wgSize; ciErrNum = clGetKernelWorkGroupInfo(*kernel, cdDevices[0], CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &wgSize, NULL); if (wgSize == 64) { shrLog( "ERROR: Minimum work-group size 256 required by this application is not supported on this device.\n"); exit(0); } free(pcSourceForDouble); return 0; }
//////////////////////////////////////////////////////////////////////////////// //! Run a simple test for //////////////////////////////////////////////////////////////////////////////// int runTest(int argc, const char** argv) { cl_platform_id cpPlatform = NULL; cl_uint ciDeviceCount = 0; cl_device_id *cdDevices = NULL; cl_int ciErrNum = CL_SUCCESS; //Get the NVIDIA platform ciErrNum = oclGetPlatformID(&cpPlatform); if (ciErrNum != CL_SUCCESS) { shrLog("Error: Failed to create OpenCL context!\n"); return ciErrNum; } //Get the devices ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 0, NULL, &ciDeviceCount); cdDevices = (cl_device_id *)malloc(ciDeviceCount * sizeof(cl_device_id) ); ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, ciDeviceCount, cdDevices, NULL); if (ciErrNum != CL_SUCCESS) { shrLog("Error: Failed to create OpenCL context!\n"); return ciErrNum; } //Create the context cxGPUContext = clCreateContext(0, ciDeviceCount, cdDevices, NULL, NULL, &ciErrNum); if (ciErrNum != CL_SUCCESS) { shrLog("Error: Failed to create OpenCL context!\n"); return ciErrNum; } if(shrCheckCmdLineFlag(argc, (const char**)argv, "device")) { // User specified GPUs char* deviceList; char* deviceStr; char* next_token; shrGetCmdLineArgumentstr(argc, (const char**)argv, "device", &deviceList); #ifdef WIN32 deviceStr = strtok_s (deviceList," ,.-", &next_token); #else deviceStr = strtok (deviceList," ,.-"); #endif ciDeviceCount = 0; while(deviceStr != NULL) { // get and print the device for this queue cl_device_id device = oclGetDev(cxGPUContext, atoi(deviceStr)); if( device == (cl_device_id) -1 ) { shrLog(" Device %s does not exist!\n", deviceStr); return -1; } shrLog("Device %s: ", deviceStr); oclPrintDevName(LOGBOTH, device); shrLog("\n"); // create command queue commandQueue[ciDeviceCount] = clCreateCommandQueue(cxGPUContext, device, CL_QUEUE_PROFILING_ENABLE, &ciErrNum); if (ciErrNum != CL_SUCCESS) { shrLog(" Error %i in clCreateCommandQueue call !!!\n\n", ciErrNum); return ciErrNum; } ++ciDeviceCount; #ifdef WIN32 deviceStr = strtok_s (NULL," ,.-", &next_token); #else deviceStr = strtok (NULL," ,.-"); #endif } free(deviceList); } else { // Find out how many GPU's to compute on all available GPUs size_t nDeviceBytes; ciErrNum |= clGetContextInfo(cxGPUContext, CL_CONTEXT_DEVICES, 0, NULL, &nDeviceBytes); ciDeviceCount = (cl_uint)nDeviceBytes/sizeof(cl_device_id); if (ciErrNum != CL_SUCCESS) { shrLog(" Error %i in clGetDeviceIDs call !!!\n\n", ciErrNum); return ciErrNum; } else if (ciDeviceCount == 0) { shrLog(" There are no devices supporting OpenCL (return code %i)\n\n", ciErrNum); return -1; } // create command-queues for(unsigned int i = 0; i < ciDeviceCount; ++i) { // get and print the device for this queue cl_device_id device = oclGetDev(cxGPUContext, i); shrLog("Device %d: ", i); oclPrintDevName(LOGBOTH, device); shrLog("\n"); // create command queue commandQueue[i] = clCreateCommandQueue(cxGPUContext, device, CL_QUEUE_PROFILING_ENABLE, &ciErrNum); if (ciErrNum != CL_SUCCESS) { shrLog(" Error %i in clCreateCommandQueue call !!!\n\n", ciErrNum); return ciErrNum; } } } // Optional Command-line multiplier for matrix sizes shrGetCmdLineArgumenti(argc, (const char**)argv, "sizemult", &iSizeMultiple); iSizeMultiple = CLAMP(iSizeMultiple, 1, 10); uiWA = WA * iSizeMultiple; uiHA = HA * iSizeMultiple; uiWB = WB * iSizeMultiple; uiHB = HB * iSizeMultiple; uiWC = WC * iSizeMultiple; uiHC = HC * iSizeMultiple; shrLog("\nUsing Matrix Sizes: A(%u x %u), B(%u x %u), C(%u x %u)\n", uiWA, uiHA, uiWB, uiHB, uiWC, uiHC); // allocate host memory for matrices A and B unsigned int size_A = uiWA * uiHA; unsigned int mem_size_A = sizeof(float) * size_A; float* h_A_data = (float*)malloc(mem_size_A); unsigned int size_B = uiWB * uiHB; unsigned int mem_size_B = sizeof(float) * size_B; float* h_B_data = (float*)malloc(mem_size_B); // initialize host memory srand(2006); shrFillArray(h_A_data, size_A); shrFillArray(h_B_data, size_B); // allocate host memory for result unsigned int size_C = uiWC * uiHC; unsigned int mem_size_C = sizeof(float) * size_C; float* h_C = (float*) malloc(mem_size_C); // create OpenCL buffer pointing to the host memory cl_mem h_A = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_USE_HOST_PTR, mem_size_A, h_A_data, &ciErrNum); if (ciErrNum != CL_SUCCESS) { shrLog("Error: clCreateBuffer\n"); return ciErrNum; } // Program Setup size_t program_length; const char* header_path = shrFindFilePath("matrixMul.h", argv[0]); oclCheckError(header_path != NULL, shrTRUE); char* header = oclLoadProgSource(header_path, "", &program_length); if(!header) { shrLog("Error: Failed to load the header %s!\n", header_path); return -1000; } const char* source_path = shrFindFilePath("matrixMul.cl", argv[0]); oclCheckError(source_path != NULL, shrTRUE); char *source = oclLoadProgSource(source_path, header, &program_length); if(!source) { shrLog("Error: Failed to load compute program %s!\n", source_path); return -2000; } // create the program cl_program cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&source, &program_length, &ciErrNum); if (ciErrNum != CL_SUCCESS) { shrLog("Error: Failed to create program\n"); return ciErrNum; } free(header); free(source); // build the program ciErrNum = clBuildProgram(cpProgram, 0, NULL, "-cl-fast-relaxed-math", NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then return error shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclMatrixMul.ptx"); return ciErrNum; } // write out PTX if requested on the command line if(shrCheckCmdLineFlag(argc, argv, "dump-ptx") ) { oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclMatrixMul.ptx"); } // Create Kernel for(unsigned int i = 0; i < ciDeviceCount; ++i) { multiplicationKernel[i] = clCreateKernel(cpProgram, "matrixMul", &ciErrNum); if (ciErrNum != CL_SUCCESS) { shrLog("Error: Failed to create kernel\n"); return ciErrNum; } } // Run multiplication on 1..deviceCount GPUs to compare improvement shrLog("\nRunning Computations on 1 - %d GPU's...\n\n", ciDeviceCount); for(unsigned int k = 1; k <= ciDeviceCount; ++k) { matrixMulGPU(k, h_A, h_B_data, mem_size_B, h_C); } // compute reference solution shrLog("Comparing results with CPU computation... \n\n"); float* reference = (float*) malloc(mem_size_C); computeGold(reference, h_A_data, h_B_data, uiHA, uiWA, uiWB); // check result shrBOOL res = shrCompareL2fe(reference, h_C, size_C, 1.0e-6f); if (res != shrTRUE) { printDiff(reference, h_C, uiWC, uiHC, 100, 1.0e-5f); } // clean up OCL resources ciErrNum = clReleaseMemObject(h_A); for(unsigned int k = 0; k < ciDeviceCount; ++k) { ciErrNum |= clReleaseKernel( multiplicationKernel[k] ); ciErrNum |= clReleaseCommandQueue( commandQueue[k] ); } ciErrNum |= clReleaseProgram(cpProgram); ciErrNum |= clReleaseContext(cxGPUContext); if(ciErrNum != CL_SUCCESS) { shrLog("Error: Failure releasing OpenCL resources: %d\n", ciErrNum); return ciErrNum; } // clean up memory free(h_A_data); free(h_B_data); free(h_C); free(reference); return ((shrTRUE == res) ? CL_SUCCESS : -3000); }
// Helper function to create and build program and kernel // ********************************************************************* cl_kernel getReductionKernel(ReduceType datatype, int whichKernel, int blockSize, int isPowOf2) { // compile cl program size_t program_length; char *source; std::ostringstream preamble; // create the program // with type specification depending on datatype argument switch (datatype) { default: case REDUCE_INT: preamble << "#define T int" << std::endl; break; case REDUCE_FLOAT: preamble << "#define T float" << std::endl; break; } // set blockSize at compile time preamble << "#define blockSize " << blockSize << std::endl; // set isPow2 at compile time preamble << "#define nIsPow2 " << isPowOf2 << std::endl; // Load the source code and prepend the preamble source = oclLoadProgSource(source_path, preamble.str().c_str(), &program_length); oclCheckError(source != NULL, shrTRUE); cl_program cpProgram = clCreateProgramWithSource(cxGPUContext, 1,(const char **) &source, &program_length, &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); free(source); // build the program ciErrNum = clBuildProgram(cpProgram, 0, NULL, "-cl-fast-relaxed-math", NULL, NULL); if (ciErrNum != CL_SUCCESS) { // write out standard error, Build Log and PTX, then cleanup and exit shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR); oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext)); oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclReduction.ptx"); oclCheckError(ciErrNum, CL_SUCCESS); } // create Kernel std::ostringstream kernelName; kernelName << "reduce" << whichKernel; cl_kernel ckKernel = clCreateKernel(cpProgram, kernelName.str().c_str(), &ciErrNum); oclCheckError(ciErrNum, CL_SUCCESS); size_t wgSize; ciErrNum = clGetKernelWorkGroupInfo(ckKernel, device, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &wgSize, NULL); if (wgSize == 64) smallBlock = true; else smallBlock = false; // NOTE: the program will get deleted when the kernel is also released clReleaseProgram(cpProgram); return ckKernel; }