int AtomicCounters::setupCL(void) {
cl_int status = 0;
cl_device_type dType;
if (sampleArgs->deviceType.compare("cpu") == 0) {
dType = CL_DEVICE_TYPE_CPU;
} else // deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if (sampleArgs->isThereGPU() == false) {
std::cout << "GPU not found. Falling back to CPU" << std::endl;
dType = CL_DEVICE_TYPE_CPU;
}
}
cl_platform_id platform = NULL;
int retValue = getPlatform(platform, sampleArgs->platformId,
sampleArgs->isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "getPlatform() failed.");
// Display available devices.
retValue = displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "displayDevices() failed.");
cl_context_properties cps[3] = {CL_CONTEXT_PLATFORM,
(cl_context_properties)platform, 0};
context = clCreateContextFromType(cps, dType, NULL, NULL, &status);
CHECK_OPENCL_ERROR(status, "clCreateContextFromType failed.");
// getting device on which to run the sample
status = getDevices(context, &devices, sampleArgs->deviceId,
sampleArgs->isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "getDevices() failed ");
// Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[sampleArgs->deviceId]);
CHECK_ERROR(retValue, SDK_SUCCESS, "SDKDeviceInfo::setDeviceInfo() failed");
// Check device extensions
if (!strstr(deviceInfo.extensions, "cl_ext_atomic_counters_32")) {
OPENCL_EXPECTED_ERROR(
"Device does not support cl_ext_atomic_counters_32 extension!");
}
if (!strstr(deviceInfo.extensions, "cl_khr_local_int32_base_atomics")) {
OPENCL_EXPECTED_ERROR(
"Device does not support cl_khr_local_int32_base_atomics extension!");
}
// Get OpenCL device version
std::string deviceVersionStr = std::string(deviceInfo.deviceVersion);
size_t vStart = deviceVersionStr.find(" ", 0);
size_t vEnd = deviceVersionStr.find(" ", vStart + 1);
std::string vStrVal = deviceVersionStr.substr(vStart + 1, vEnd - vStart - 1);
// Check of OPENCL_C_VERSION if device version is 1.1 or later
#ifdef CL_VERSION_1_1
if (deviceInfo.openclCVersion) {
// Exit if OpenCL C device version is 1.0
deviceVersionStr = std::string(deviceInfo.openclCVersion);
vStart = deviceVersionStr.find(" ", 0);
vStart = deviceVersionStr.find(" ", vStart + 1);
vEnd = deviceVersionStr.find(" ", vStart + 1);
vStrVal = deviceVersionStr.substr(vStart + 1, vEnd - vStart - 1);
if (vStrVal.compare("1.0") <= 0) {
OPENCL_EXPECTED_ERROR(
"Unsupported device! Required CL_DEVICE_OPENCL_C_VERSION as 1.1");
}
} else {
OPENCL_EXPECTED_ERROR(
"Unsupported device! Required CL_DEVICE_OPENCL_C_VERSION as 1.1");
}
#else
OPENCL_EXPECTED_ERROR(
"Unsupported device! Required CL_DEVICE_OPENCL_C_VERSION as 1.1");
#endif
// Setup application data
if (setupAtomicCounters() != SDK_SUCCESS) {
return SDK_FAILURE;
}
cl_command_queue_properties props = CL_QUEUE_PROFILING_ENABLE;
commandQueue = clCreateCommandQueue(context, devices[sampleArgs->deviceId],
props, &status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed(commandQueue)");
// Set Persistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if (sampleArgs->isAmdPlatform()) {
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
}
// Create buffer for input array
inBuf = clCreateBuffer(context, inMemFlags, length * sizeof(cl_uint), NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed.(inBuf)");
// Set up data for input array
cl_event writeEvt;
status =
clEnqueueWriteBuffer(commandQueue, inBuf, CL_FALSE, 0,
length * sizeof(cl_uint), input, 0, NULL, &writeEvt);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer(inBuf) failed..");
status = clFlush(commandQueue);
CHECK_OPENCL_ERROR(status, "clFlush(commandQueue) failed.");
counterOutBuf = clCreateBuffer(context, CL_MEM_READ_WRITE, sizeof(cl_uint),
NULL, &status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed.(counterOutBuf).");
globalOutBuf = clCreateBuffer(context, CL_MEM_READ_WRITE, sizeof(cl_uint),
NULL, &status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed.(globalOutBuf).");
// create a CL program using the kernel source
buildProgramData buildData;
buildData.kernelName = std::string("AtomicCounters_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = sampleArgs->deviceId;
buildData.flagsStr = std::string("");
if (sampleArgs->isLoadBinaryEnabled()) {
buildData.binaryName = std::string(sampleArgs->loadBinary.c_str());
}
if (sampleArgs->isComplierFlagsSpecified()) {
buildData.flagsFileName = std::string(sampleArgs->flags.c_str());
}
retValue = buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "buildOpenCLProgram() failed");
// ConstantBuffer bandwidth from single access
counterKernel = clCreateKernel(program, "atomicCounters", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(counterKernel).");
globalKernel = clCreateKernel(program, "globalAtomics", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel(globalKernel) failed.");
status = kernelInfoC.setKernelWorkGroupInfo(counterKernel,
devices[sampleArgs->deviceId]);
CHECK_OPENCL_ERROR(status, "kernelInfo.setKernelWorkGroupInfo failed");
status = kernelInfoG.setKernelWorkGroupInfo(globalKernel,
devices[sampleArgs->deviceId]);
CHECK_OPENCL_ERROR(status, "kernelInfo.setKernelWorkGroupInfo failed");
if (counterWorkGroupSize > kernelInfoC.kernelWorkGroupSize) {
if (!sampleArgs->quiet) {
std::cout << "Out of Resources!" << std::endl;
std::cout << "Group Size specified : " << counterWorkGroupSize
<< std::endl;
std::cout << "Max Group Size supported on the kernel(readKernel) : "
<< kernelInfoC.kernelWorkGroupSize << std::endl;
std::cout << "Falling back to " << kernelInfoC.kernelWorkGroupSize
<< std::endl;
}
counterWorkGroupSize = kernelInfoC.kernelWorkGroupSize;
}
if (globalWorkGroupSize > kernelInfoG.kernelWorkGroupSize) {
if (!sampleArgs->quiet) {
std::cout << "Out of Resources!" << std::endl;
std::cout << "Group Size specified : " << globalWorkGroupSize
<< std::endl;
std::cout << "Max Group Size supported on the kernel(writeKernel) : "
<< kernelInfoG.kernelWorkGroupSize << std::endl;
std::cout << "Falling back to " << kernelInfoG.kernelWorkGroupSize
<< std::endl;
}
globalWorkGroupSize = kernelInfoG.kernelWorkGroupSize;
}
// Wait for event and release event
status = waitForEventAndRelease(&writeEvt);
CHECK_OPENCL_ERROR(status, "waitForEventAndRelease(writeEvt) failed.");
return SDK_SUCCESS;
}
int
ComputeBench::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if (sampleArgs->deviceType.compare("cpu") == 0) {
dType = CL_DEVICE_TYPE_CPU;
} else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if (sampleArgs->isThereGPU() == false) {
std::cout << "GPU not found. Falling back to CPU device" << std::endl;
dType = CL_DEVICE_TYPE_CPU;
}
}
/*
* Have a look at the available platforms and pick either
* the AMD one if available or a reasonable default.
*/
cl_platform_id platform = NULL;
int retValue = getPlatform(platform, sampleArgs->platformId, sampleArgs->isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "getPlatform() failed");
// Display available devices.
retValue = displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "displayDevices() failed");
/*
* If we could find our platform, use it. Otherwise use just available platform.
*/
cl_context_properties cps[3] = {
CL_CONTEXT_PLATFORM,
(cl_context_properties) platform,
0
};
context = clCreateContextFromType(cps,
dType,
NULL,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateContextFromType failed.");
// getting device on which to run the sample
status = getDevices(context, &devices, sampleArgs->deviceId,
sampleArgs->isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "getDevices() failed");
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[sampleArgs->deviceId]);
CHECK_ERROR(retValue, SDK_SUCCESS, "SDKDeviceInfo::setDeviceInfo() failed");
std::string deviceStr(deviceInfo.deviceVersion);
size_t vStart = deviceStr.find(" ", 0);
size_t vEnd = deviceStr.find(" ", vStart + 1);
std::string vStrVal = deviceStr.substr(vStart + 1, vEnd - vStart - 1);
// OpenCL 1.1 has inbuilt support for vec3 data types
if (vec3 == true) {
OPENCL_EXPECTED_ERROR("Device doesn't support built-in 3 component vectors!");
}
// The block is to move the declaration of prop closer to its use
/* Note: Using deprecated clCreateCommandQueue as CL_QUEUE_PROFILING_ENABLE flag not currently working
***with clCreateCommandQueueWithProperties*/
cl_command_queue_properties prop = 0;
prop |= CL_QUEUE_PROFILING_ENABLE;
commandQueue = clCreateCommandQueue(context,
devices[sampleArgs->deviceId],
prop,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
if (sampleArgs->isLoadBinaryEnabled()) {
// Always assuming kernel was dumped for vector-width 1
if (vectorSize != 0) {
std::cout <<
"Ignoring specified vector-width. Assuming kernel was dumped for vector-width 1"
<< std::endl;
}
vectorSize = 1;
} else {
// If vector-size is not specified in the command-line, choose the preferred size for the device
if (vectorSize == 0) {
vectorSize = deviceInfo.preferredFloatVecWidth;
} else if (vectorSize == 3) {
//Make vectorSize as 4 if -v option is 3.
//This memory alignment is required as per OpenCL for type3 vectors
vec3 = true;
vectorSize = 4;
} else if ((1 != vectorSize) && (2 != vectorSize) && (4 != vectorSize) &&
(8 != vectorSize) && (16 != vectorSize)) {
std::cout << "The vectorsize can only be one of 1,2,3(4),4,8,16!" << std::endl;
return SDK_FAILURE;
}
}
outputKadd = clCreateBuffer(context, CL_MEM_WRITE_ONLY, sizeof (cl_float) * vectorSize * length, 0, &status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputKadd)");
// create a CL program using the kernel source
char buildOption[512];
if (vectorSize == 1) {
sprintf(buildOption, "-D DATATYPE=uint -D DATATYPE2=uint4 ");
//sprintf(buildOption, "-D DATATYPE=float -D DATATYPE2=float4 ");
} else {
sprintf(buildOption, "-D DATATYPE=uint%d -D DATATYPE2=uint%d ", (vec3 == true) ? 3 : vectorSize, (vec3 == true) ? 3 : vectorSize);
//sprintf(buildOption, "-D DATATYPE=float%d -D DATATYPE2=float%d ", (vec3 == true) ? 3 : vectorSize, (vec3 == true) ? 3 : vectorSize);
}
strcat(buildOption, "-D IDXTYPE=uint ");
// create a CL program using the kernel source
buildProgramData buildData;
buildData.kernelName = std::string("ComputeBench.cl");
buildData.devices = devices;
buildData.deviceId = sampleArgs->deviceId;
buildData.flagsStr = std::string(buildOption);
if (sampleArgs->isLoadBinaryEnabled()) {
buildData.binaryName = std::string(sampleArgs->loadBinary.c_str());
}
if (sampleArgs->isComplierFlagsSpecified()) {
buildData.flagsFileName = std::string(sampleArgs->flags.c_str());
}
retValue = buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "buildOpenCLProgram() failed");
// Global memory bandwidth from read-single access
kernel[0] = clCreateKernel(program, "Kadd", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(Kadd)");
return SDK_SUCCESS;
}
int
DwtHaar1D::setupCL(void)
{
if(iterations < 1)
{
std::cout<<"Error, iterations cannot be 0 or negative. Exiting..\n";
exit(0);
}
cl_int status = 0;
cl_device_type dType;
if(sampleArgs->deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //sampleArgs->deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(sampleArgs->isThereGPU() == false)
{
std::cout << "GPU not found. Falling back to CPU device" << std::endl;
dType = CL_DEVICE_TYPE_CPU;
}
}
/*
* Have a look at the available platforms and pick either
* the AMD one if available or a reasonable default.
*/
cl_platform_id platform = NULL;
int retValue = getPlatform(platform, sampleArgs->platformId,
sampleArgs->isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "getPlatform() failed");
// Display available devices.
retValue = displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "displayDevices() failed");
// If we could find our platform, use it. Otherwise use just available platform.
cl_context_properties cps[3] =
{
CL_CONTEXT_PLATFORM,
(cl_context_properties)platform,
0
};
context = clCreateContextFromType(cps,
dType,
NULL,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateContextFromType failed.");
// getting device on which to run the sample
status = getDevices(context, &devices, sampleArgs->deviceId,
sampleArgs->isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "getDevices() failed");
commandQueue = clCreateCommandQueue(context,
devices[sampleArgs->deviceId],
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[sampleArgs->deviceId]);
CHECK_ERROR(retValue, 0, "SDKDeviceInfo::setDeviceInfo() failed");
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if(sampleArgs->isAmdPlatform())
{
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
}
inDataBuf = clCreateBuffer(context,
inMemFlags,
sizeof(cl_float) * signalLength,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inDataBuf)");
dOutDataBuf = clCreateBuffer(context,
CL_MEM_WRITE_ONLY,
signalLength * sizeof(cl_float),
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (dOutDataBuf)");
dPartialOutDataBuf = clCreateBuffer(context,
CL_MEM_WRITE_ONLY,
signalLength * sizeof(cl_float),
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (dPartialOutDataBuf)");
// create a CL program using the kernel source
buildProgramData buildData;
buildData.kernelName = std::string("DwtHaar1D_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = sampleArgs->deviceId;
buildData.flagsStr = std::string("");
if(sampleArgs->isLoadBinaryEnabled())
{
buildData.binaryName = std::string(sampleArgs->loadBinary.c_str());
}
if(sampleArgs->isComplierFlagsSpecified())
{
buildData.flagsFileName = std::string(sampleArgs->flags.c_str());
}
retValue = buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, 0, "buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernel = clCreateKernel(program, "dwtHaar1D", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.");
status = kernelInfo.setKernelWorkGroupInfo(kernel,
devices[sampleArgs->deviceId]);
CHECK_ERROR(status, SDK_SUCCESS, " setKernelWorkGroupInfo() failed");
return SDK_SUCCESS;
}
int MotionDetector::setup(sImage* inputImage, sImage* motionImage, sImage* outputImage, cl_device_type dType)
{
// get width and height of input image
height = inputImage->rows;
width = inputImage->cols;
// get the pointer to pixel data
inputImageData = inputImage->data;
motionImageData = motionImage->data;
outputImageData = outputImage->data;
cl_int status = CL_SUCCESS;
// Have a look at the available platforms and pick either the AMD one if available or a reasonable default.
cl_platform_id platform = NULL;
int retValue = getPlatform(platform, sampleArgs->platformId, sampleArgs->isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "getPlatform() failed");
// Display available devices.
retValue = displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "displayDevices() failed");
// If we could find our platform, use it. Otherwise use just available platform.
cl_context_properties cps[3] =
{
CL_CONTEXT_PLATFORM,
(cl_context_properties)platform,
0
};
context = clCreateContextFromType(
cps,
dType,
NULL,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateContextFromType failed.");
// getting device on which to run the sample
status = getDevices(context, &devices, sampleArgs->deviceId, sampleArgs->isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "getDevices() failed");
{
// The block is to move the declaration of prop closer to its use
cl_command_queue_properties prop = CL_QUEUE_PROFILING_ENABLE;
commandQueue = clCreateCommandQueue(
context,
devices[sampleArgs->deviceId],
prop,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
}
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[sampleArgs->deviceId]);
CHECK_ERROR(retValue, 0, "SDKDeviceInfo::setDeviceInfo() failed");
// Create and initialize memory objects
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_WRITE;
// Create memory object for input Image
inputImageBuffer = clCreateBuffer(
context,
CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR,
width * height * greyPixelSize,
inputImageData,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inputImageBuffer)");
motionImageBuffer = clCreateBuffer(
context,
CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR,
width * height * greyPixelSize,
motionImageData,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (imotionImageBuffer)");
outputImageBuffer = clCreateBuffer(
context,
CL_MEM_READ_WRITE,
width * height * greyPixelSize,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputImageBuffer)");
return SDK_SUCCESS;
}
void DeviceManagerIzluchatelUI::acceptPing(int id)
{
ui->console->append(tr( "<font color=green> %1 %2 </font>" ).arg("ACCEPTED PING FROM").arg(QString::number(id)) );
displayDevices(); // updating the devices state
}
int
URNG::setupCL()
{
cl_int status = CL_SUCCESS;
cl_device_type dType;
if(sampleArgs->deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(sampleArgs->isThereGPU() == false)
{
std::cout << "GPU not found. Falling back to CPU device" << std::endl;
dType = CL_DEVICE_TYPE_CPU;
}
}
/*
* Have a look at the available platforms and pick either
* the AMD one if available or a reasonable default.
*/
cl_platform_id platform = NULL;
int retValue = getPlatform(platform, sampleArgs->platformId,
sampleArgs->isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "displayDevices() failed");
// If we could find our platform, use it. Otherwise use just available platform.
cl_context_properties cps[3] =
{
CL_CONTEXT_PLATFORM,
(cl_context_properties)platform,
0
};
context = clCreateContextFromType(
cps,
dType,
NULL,
NULL,
&status);
CHECK_OPENCL_ERROR( status, "clCreateContextFromType failed.");
// getting device on which to run the sample
status = getDevices(context, &devices, sampleArgs->deviceId,
sampleArgs->isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "getDevices() failed");
{
// The block is to move the declaration of prop closer to its use
cl_command_queue_properties prop = 0;
commandQueue = clCreateCommandQueue(
context,
devices[sampleArgs->deviceId],
prop,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
}
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[sampleArgs->deviceId]);
CHECK_ERROR(retValue, SDK_SUCCESS, "SDKDeviceInfo::setDeviceInfo() failed");
// Create and initialize memory objects
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if(sampleArgs->isAmdPlatform())
{
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
}
// Create memory object for input Image
inputImageBuffer = clCreateBuffer(
context,
inMemFlags,
width * height * pixelSize,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inputImageBuffer)");
// Create memory objects for output Image
outputImageBuffer = clCreateBuffer(context,
CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR,
width * height * pixelSize,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputImageBuffer)");
// create a CL program using the kernel source
buildProgramData buildData;
buildData.kernelName = std::string("URNG_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = sampleArgs->deviceId;
buildData.flagsStr = std::string("");
if(sampleArgs->isLoadBinaryEnabled())
{
buildData.binaryName = std::string(sampleArgs->loadBinary.c_str());
}
if(sampleArgs->isComplierFlagsSpecified())
{
buildData.flagsFileName = std::string(sampleArgs->flags.c_str());
}
retValue = buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernel = clCreateKernel(
program,
"noise_uniform",
&status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.");
status = kernelInfo.setKernelWorkGroupInfo(kernel,
devices[sampleArgs->deviceId]);
CHECK_ERROR(status, SDK_SUCCESS, "setKernelWorkGroupInfo() failed");
if((blockSizeX * blockSizeY) > kernelInfo.kernelWorkGroupSize)
{
if(!sampleArgs->quiet)
{
std::cout << "Out of Resources!" << std::endl;
std::cout << "Group Size specified : "
<< blockSizeX * blockSizeY << std::endl;
std::cout << "Max Group Size supported on the kernel : "
<< kernelInfo.kernelWorkGroupSize << std::endl;
std::cout << "Falling back to " << kernelInfo.kernelWorkGroupSize << std::endl;
}
// Three possible cases
if(blockSizeX > kernelInfo.kernelWorkGroupSize)
{
blockSizeX = kernelInfo.kernelWorkGroupSize;
blockSizeY = 1;
}
}
return SDK_SUCCESS;
}
int
Histogram::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(sampleArgs->deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //sampleArgs->deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(sampleArgs->isThereGPU() == false)
{
std::cout << "GPU not found. Falling back to CPU device" << std::endl;
dType = CL_DEVICE_TYPE_CPU;
}
}
/*
* Have a look at the available platforms and pick either
* the AMD one if available or a reasonable default.
*/
cl_platform_id platform = NULL;
int retValue = getPlatform(platform, sampleArgs->platformId,
sampleArgs->isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "getPlatform() failed");
// Display available devices.
retValue = displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "displayDevices() failed");
/*
* If we could find our platform, use it. Otherwise use just available platform.
*/
cl_context_properties cps[3] =
{
CL_CONTEXT_PLATFORM,
(cl_context_properties)platform,
0
};
context = clCreateContextFromType(
cps,
dType,
NULL,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateContextFromType failed.");
// getting device on which to run the sample
status = getDevices(context, &devices, sampleArgs->deviceId,
sampleArgs->isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "getDevices() failed");
// Create command queue
commandQueue = clCreateCommandQueue(context,
devices[sampleArgs->deviceId],
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[sampleArgs->deviceId]);
CHECK_ERROR(retValue, SDK_SUCCESS, "SDKDeviceInfo::setDeviceInfo() failed");
if(scalar && vector)//if both options are specified
{
std::cout<<"Ignoring --scalar and --vector option and using the default vector width of the device"<<std::endl;
vectorWidth = deviceInfo.preferredFloatVecWidth;
}
else if(scalar)
{
vectorWidth = 1;
}
else if(vector)
{
vectorWidth = 4;
}
else //if no option is specified.
{
vectorWidth = deviceInfo.preferredFloatVecWidth;
}
if(!sampleArgs->quiet)
{
if(vectorWidth == 1)
{
std::cout<<"Selecting scalar kernel\n"<<std::endl;
}
else
{
std::cout<<"Selecting vector kernel\n"<<std::endl;
}
}
subHistgCnt = (width * height) / (groupSize * groupIterations);
// Check if byte-addressable store is supported
if(!strstr(deviceInfo.extensions, "cl_khr_byte_addressable_store"))
{
byteRWSupport = false;
OPENCL_EXPECTED_ERROR("Device does not support cl_khr_byte_addressable_store extension!");
}
dataBuf = clCreateBuffer(
context,
CL_MEM_READ_ONLY,
sizeof(cl_uint) * width * height,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (dataBuf)");
midDeviceBinBuf = clCreateBuffer(
context,
CL_MEM_WRITE_ONLY,
sizeof(cl_uint) * binSize * subHistgCnt,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (midDeviceBinBuf)");
// create a CL program using the kernel source
buildProgramData buildData;
buildData.kernelName = std::string("Histogram_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = sampleArgs->deviceId;
buildData.flagsStr = std::string("");
if(sampleArgs->isLoadBinaryEnabled())
{
buildData.binaryName = std::string(sampleArgs->loadBinary.c_str());
}
if(sampleArgs->isComplierFlagsSpecified())
{
buildData.flagsFileName = std::string(sampleArgs->flags.c_str());
}
retValue = buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, 0, "buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
const char *kernelName = (vectorWidth == 4)? "histogram256_vector":
"histogram256_scalar";
kernel = clCreateKernel(program, kernelName, &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.");
return SDK_SUCCESS;
}
int
LDSBandwidth::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(sampleArgs->deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(sampleArgs->isThereGPU() == false)
{
std::cout << "GPU not found. Falling back to CPU device" << std::endl;
dType = CL_DEVICE_TYPE_CPU;
}
}
/*
* Have a look at the available platforms and pick either
* the AMD one if available or a reasonable default.
*/
cl_platform_id platform = NULL;
int retValue = getPlatform(platform, sampleArgs->platformId,
sampleArgs->isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "getPlatform() failed");
// Display available devices.
retValue = displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "displayDevices() failed");
/*
* If we could find our platform, use it. Otherwise use just available platform.
*/
cl_context_properties cps[3] =
{
CL_CONTEXT_PLATFORM,
(cl_context_properties)platform,
0
};
context = clCreateContextFromType(cps,
dType,
NULL,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateContextFromType failed.");
// getting device on which to run the sample
status = getDevices(context, &devices, sampleArgs->deviceId,
sampleArgs->isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "getDevices() failed");
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[sampleArgs->deviceId]);
CHECK_ERROR(retValue, SDK_SUCCESS, "SDKDeviceInfo::setDeviceInfo() failed");
std::string deviceStr(deviceInfo.deviceVersion);
size_t vStart = deviceStr.find(" ", 0);
size_t vEnd = deviceStr.find(" ", vStart + 1);
std::string vStrVal = deviceStr.substr(vStart + 1, vEnd - vStart - 1);
#ifdef CL_VERSION_1_1
if(vStrVal.compare("1.0") > 0)
{
char openclVersion[1024];
status = clGetDeviceInfo(devices[sampleArgs->deviceId],
CL_DEVICE_OPENCL_C_VERSION,
sizeof(openclVersion),
openclVersion,
0);
CHECK_OPENCL_ERROR(status, "clGetDeviceInfo failed.");
std::string tempStr(openclVersion);
size_t dotPos = tempStr.find_first_of(".");
size_t spacePos = tempStr.find_last_of(" ");
tempStr = tempStr.substr(dotPos + 1, spacePos - dotPos);
int minorVersion = atoi(tempStr.c_str());
// OpenCL 1.1 has inbuilt support for vec3 data types
if(minorVersion < 1 && vec3 == true)
{
OPENCL_EXPECTED_ERROR("Device doesn't support built-in 3 component vectors!");
}
}
else
{
// OpenCL 1.1 has inbuilt support for vec3 data types
if(vec3 == true)
{
OPENCL_EXPECTED_ERROR("Device doesn't support built-in 3 component vectors!");
}
}
#else
// OpenCL 1.1 has inbuilt support for vec3 data types
if(vec3 == true)
{
OPENCL_EXPECTED_ERROR("Device doesn't support built-in 3 component vectors!");
}
#endif
{
// The block is to move the declaration of prop closer to its use
cl_command_queue_properties prop = 0;
prop |= CL_QUEUE_PROFILING_ENABLE;
commandQueue = clCreateCommandQueue(context,
devices[sampleArgs->deviceId],
prop,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
}
outputBuffer = clCreateBuffer(context,
CL_MEM_WRITE_ONLY,
sizeof(cl_float) * vectorSize * length,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputBuffer)");
// create a CL program using the kernel source
char buildOption[64];
if(vectorSize == 1)
{
sprintf(buildOption, "-D DATATYPE=float ");
}
else
{
sprintf(buildOption, "-D DATATYPE=float%d ", vec3 == true ? 3 : vectorSize);
}
buildProgramData buildData;
buildData.kernelName = std::string("LDSBandwidth_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = sampleArgs->deviceId;
buildData.flagsStr = std::string(buildOption);
if(sampleArgs->isLoadBinaryEnabled())
{
buildData.binaryName = std::string(sampleArgs->loadBinary.c_str());
}
if(sampleArgs->isComplierFlagsSpecified())
{
buildData.flagsFileName = std::string(sampleArgs->flags.c_str());
}
retValue = buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "buildOpenCLProgram() failed");
// ConstantBuffer bandwidth from single access
kernel[0] = clCreateKernel(program, "LDSBandwidth_single", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(LDSBandwidth_single)");
// ConstantBuffer bandwidth from linear access
kernel[1] = clCreateKernel(program, "LDSBandwidth_linear", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(LDSBandwidth_linear)");
kernel[2] = clCreateKernel(program, "LDSBandwidth_single_verify", &status);
CHECK_OPENCL_ERROR(status,
"clCreateKernel failed.(LDSBandwidth_single_verify)");
kernel[3] = clCreateKernel(program, "LDSBandwidth_linear_verify", &status);
CHECK_OPENCL_ERROR(status,
"clCreateKernel failed.(LDSBandwidth_linear_verify)");
kernel[4] = clCreateKernel(program, "LDSBandwidth_write_linear", &status);
CHECK_OPENCL_ERROR(status,
"clCreateKernel failed.(LDSBandwidth_linear_verify)");
kernel[5] = clCreateKernel(program, "LDSBandwidth_write_linear_verify",
&status);
CHECK_OPENCL_ERROR(status,
"clCreateKernel failed.(LDSBandwidth_linear_verify)");
return SDK_SUCCESS;
}
int
MersenneTwister::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(sampleArgs->deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(sampleArgs->isThereGPU() == false)
{
std::cout << "GPU not found. Falling back to CPU device" << std::endl;
dType = CL_DEVICE_TYPE_CPU;
}
}
/*
* Have a look at the available platforms and pick either
* the AMD one if available or a reasonable default.
*/
cl_platform_id platform = NULL;
int retValue = getPlatform(platform, sampleArgs->platformId,
sampleArgs->isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "getPlatform() failed");
retValue = displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "displayDevices() failed");
/*
* If we could find our platform, use it. Otherwise use just available platform.
*/
cl_context_properties cps[3] =
{
CL_CONTEXT_PLATFORM,
(cl_context_properties)platform,
0
};
context = clCreateContextFromType(cps,
dType,
NULL,
NULL,
&status);
if(checkVal(status,
CL_SUCCESS,
"clCreateContextFromType failed."))
{
return SDK_FAILURE;
}
// getting device on which to run the sample
status = getDevices(context, &devices, sampleArgs->deviceId,
sampleArgs->isDeviceIdEnabled());
CHECK_ERROR(status, 0, "getDevices() failed");
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[sampleArgs->deviceId]);
CHECK_ERROR(retValue, 0, "SDKDeviceInfo::setDeviceInfo() failed");
{
// The block is to move the declaration of prop closer to its use
cl_command_queue_properties prop = 0;
commandQueue = clCreateCommandQueue(context,
devices[sampleArgs->deviceId],
prop,
&status);
if(checkVal(status,
0,
"clCreateCommandQueue failed."))
{
return SDK_FAILURE;
}
}
// Set Persistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if(sampleArgs->isAmdPlatform())
{
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
}
seedsBuf = clCreateBuffer(context,
inMemFlags,
width * height * sizeof(cl_float4),
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (seedsBuf)");
resultBuf = clCreateBuffer(context,
CL_MEM_WRITE_ONLY,
width * height * sizeof(cl_float4) * mulFactor,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (resultBuf)");
cl_event writeEvt;
// Enqueue write to seedsBuf
status = clEnqueueWriteBuffer(commandQueue,
seedsBuf,
CL_FALSE,
0,
width * height * sizeof(cl_float4),
seeds,
0,
NULL,
&writeEvt);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (seedsBuf)");
status = clFlush(commandQueue);
CHECK_OPENCL_ERROR(status, "clFlush failed.");
status = waitForEventAndRelease(&writeEvt);
CHECK_ERROR(status,SDK_SUCCESS, "WaitForEventAndRelease(inMapEvt1) Failed");
// create a CL program using the kernel source
buildProgramData buildData;
buildData.kernelName = std::string("MersenneTwister_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = sampleArgs->deviceId;
buildData.flagsStr = std::string("-x clc++ ");
if(sampleArgs->isLoadBinaryEnabled())
{
buildData.binaryName = std::string(sampleArgs->loadBinary.c_str());
}
if(sampleArgs->isComplierFlagsSpecified())
{
buildData.flagsFileName = std::string(sampleArgs->flags.c_str());
}
retValue = buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernel = clCreateKernel(program, "gaussianRand", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.");
return SDK_SUCCESS;
}
int
FastWalshTransform::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(sampleArgs->deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //sampleArgs->deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(sampleArgs->isThereGPU() == false)
{
std::cout << "GPU not found. Falling back to CPU device" << std::endl;
dType = CL_DEVICE_TYPE_CPU;
}
}
/*
* Have a look at the available platforms and pick either
* the AMD one if available or a reasonable default.
*/
cl_platform_id platform = NULL;
int retValue = getPlatform(platform, sampleArgs->platformId,
sampleArgs->isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "getPlatform() failed");
// Display available devices.
retValue = displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "displayDevices() failed");
/*
* If we could find our platform, use it. Otherwise use just available platform.
*/
cl_context_properties cps[3] =
{
CL_CONTEXT_PLATFORM,
(cl_context_properties)platform,
0
};
context = clCreateContextFromType(
cps,
dType,
NULL,
NULL,
&status);
CHECK_OPENCL_ERROR( status, "clCreateContextFromType failed.");
// getting device on which to run the sample
status = getDevices(context, &devices, sampleArgs->deviceId,
sampleArgs->isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "getDevices() failed");
{
// The block is to move the declaration of prop closer to its use
cl_command_queue_properties prop = 0;
commandQueue = clCreateCommandQueue(
context,
devices[sampleArgs->deviceId],
prop,
&status);
CHECK_OPENCL_ERROR( status, "clCreateCommandQueue failed.");
}
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[sampleArgs->deviceId]);
CHECK_ERROR(retValue, SDK_SUCCESS, "SDKDeviceInfo::setDeviceInfo() failed");
inputBuffer = clCreateBuffer(
context,
CL_MEM_READ_WRITE,
sizeof(cl_float) * length,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inputBuffer)");
// create a CL program using the kernel source
buildProgramData buildData;
buildData.kernelName = std::string("FastWalshTransform_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = sampleArgs->deviceId;
buildData.flagsStr = std::string("");
if(sampleArgs->isLoadBinaryEnabled())
{
buildData.binaryName = std::string(sampleArgs->loadBinary.c_str());
}
if(sampleArgs->isComplierFlagsSpecified())
{
buildData.flagsFileName = std::string(sampleArgs->flags.c_str());
}
retValue = buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernel = clCreateKernel(program, "fastWalshTransform", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.");
return SDK_SUCCESS;
}