JOCLで実行するOpenCLカーネルがあり、すべてのJUnitテストに合格しています。同じ条件下でカーネルのプロファイルを作成できるように、コードをC++に移植しました。ドライバーは、1つを除いてすべての場合に正常に動作します。JOCLでは完全に正常に動作するので、C++コードの何かが間違っていると思います。私のコードは以下のとおりです。私はそれを監査して死にました。誰かが私が何が悪いのかを見つけるのを手伝ってくれるなら、私はそれをいただければ幸いです。
ドライバーコードは、引数1と2を8192、引数3を512として正常に機能します。また、引数1と2を512、引数3を8192として正常に動作します。引数4は常に1であり、カーネルを実数に設定します。args 1と2を262144に、arg 3を16に設定すると、実行され、エラーは報告されず、セグメンテーション違反も発生しませんが、カーネルは最終的にデータを変更しません。上記のすべての場合のarg1*3は2^22に等しいことに注意してください。すべての場合に同じ量のフロートを割り当てていると思います。私は困惑しています。OpenCLに何が悪いのか教えてもらえません:(
void HelperFunctions::callKernel(int windowSize, int primitivesPerDataFrame, int nInFramesThisCall, int realOrComplex)
{
// OpenCL Vars
cl_platform_id platform; // OpenCL platform
cl_device_id device; // OpenCL device
cl_context gpuContext; // OpenCL context
cl_command_queue commandQueue; // OpenCL command queue
cl_program clProgram; // OpenCL program
cl_kernel clkernel; // OpenCL kernel
void *dataHostBuffer; // Host buffer
void *windowDataHostBuffer; // Host buffer
cl_mem inData; // OpenCL device buffer
cl_mem windowData; // OpenCL device source buffer
size_t szKernelLength; // Byte size of kernel code
cl_int errCode; // Error code var
long gridX = 256;
long gridY = 16384;
long gridZ = 1;
size_t global_work_size[] = {gridX, gridY, gridZ};
size_t local_work_size[] = {gridX, 1, 1};
const char* cSourceCL = NULL; // Buffer to hold source for compilation
// Allocate and initialize host arrays
dataHostBuffer = (void *)malloc(sizeof(cl_float) * primitivesPerDataFrame * nInFramesThisCall);
windowDataHostBuffer = (void *)malloc(sizeof(cl_float) * windowSize);
//Populate the data buffers
dataHostBuffer = generateRampData(primitivesPerDataFrame * nInFramesThisCall);
windowDataHostBuffer = blackman(windowSize);
//Get an OpenCL platform
errCode = clGetPlatformIDs(1, &platform, NULL);
cout << "Error Code: " << errCode << endl;
//Get the devices
errCode = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 1, &device, NULL);
cout << "Error Code: " << errCode << endl;
//Create the context
gpuContext = clCreateContext(0, 1, &device, NULL, NULL, &errCode);
cout << "Error Code: " << errCode << endl;
// Create a command-queue
commandQueue = clCreateCommandQueue(gpuContext, device, 0, &errCode);
// Read the OpenCL kernel in from source file
cSourceCL = oclLoadProgSource("/home/djkasht/workspaceBlueprint/bp/bp-trunk/bundles/CopperShark/src/coppershark/dsp/blocks/opencl/dsp/window/Window.cl", "", &szKernelLength);
szKernelLength = strlen(cSourceCL);
// Create the program
clProgram = clCreateProgramWithSource(gpuContext, 1, (const char **)&cSourceCL, &szKernelLength, &errCode);
cout << "Error Code: " << errCode << endl;
// Build the program
errCode = clBuildProgram(clProgram, 0, NULL, NULL, NULL, NULL);
cout << "Error Code: " << errCode << endl;
size_t log_size = 1000000 * sizeof(char);
char build_log[log_size];
size_t len;
errCode = clGetProgramBuildInfo(clProgram, device, CL_PROGRAM_BUILD_LOG, log_size, build_log, &len);
cout << build_log << endl;
// Create the kernel
clkernel = clCreateKernel(clProgram, "window", &errCode);
cout << "Error Code: " << errCode << endl;
// Allocate the OpenCL buffer memory objects
inData = clCreateBuffer(gpuContext, CL_MEM_READ_WRITE, sizeof(cl_float) * primitivesPerDataFrame * nInFramesThisCall, NULL, &errCode);
cout << "Error Code: " << errCode << endl;
windowData = clCreateBuffer(gpuContext, CL_MEM_READ_ONLY, sizeof(cl_float) * windowSize, NULL, &errCode);
cout << "Error Code: " << errCode << endl;
// Set the Argument values
errCode = clSetKernelArg(clkernel, 0, sizeof(cl_mem), (void*)&inData);
cout << "Error Code: " << errCode << endl;
errCode = clSetKernelArg(clkernel, 1, sizeof(cl_mem), (void*)&windowData);
cout << "Error Code: " << errCode << endl;
errCode = clSetKernelArg(clkernel, 2, sizeof(cl_int), (void*)&windowSize);
cout << "Error Code: " << errCode << endl;
errCode = clSetKernelArg(clkernel, 3, sizeof(cl_int), (void*)&primitivesPerDataFrame);
cout << "Error Code: " << errCode << endl;
errCode = clSetKernelArg(clkernel, 4, sizeof(cl_int), (void*)&nInFramesThisCall);
cout << "Error Code: " << errCode << endl;
errCode = clSetKernelArg(clkernel, 5, sizeof(cl_int), (void*)&realOrComplex);
cout << "Error Code: " << errCode << endl;
// Asynchronous write of data to GPU device
errCode = clEnqueueWriteBuffer(commandQueue, inData, CL_FALSE, 0, sizeof(cl_float) * primitivesPerDataFrame * nInFramesThisCall, dataHostBuffer, 0, NULL, NULL);
cout << "Error Code: " << errCode << endl;
// Synchronous/blocking read of results, and check accumulated errors
errCode = clEnqueueWriteBuffer(commandQueue, windowData, CL_FALSE, 0, sizeof(cl_float) * windowSize, windowDataHostBuffer, 0, NULL, NULL);
cout << "Error Code: " << errCode << endl;
errCode = clEnqueueNDRangeKernel(commandQueue, clkernel, 3, NULL, &(global_work_size[0]), &(local_work_size[0]), 0, NULL, NULL);
cout << "Error Code: " << errCode << endl;
void* dataHostBuffer2 = (void *)malloc(sizeof(cl_float) * primitivesPerDataFrame * nInFramesThisCall);
errCode = clEnqueueReadBuffer(commandQueue, inData, CL_TRUE, 0, sizeof(cl_float) * primitivesPerDataFrame * nInFramesThisCall, dataHostBuffer2, 0, NULL, NULL);
}