int
FastWalshTransform::setupCL(void)
{
cl_int status = 0;
size_t deviceListSize;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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_uint numPlatforms;
cl_platform_id platform = NULL;
status = clGetPlatformIDs(0, NULL, &numPlatforms);
if(!sampleCommon->checkVal(status,
CL_SUCCESS,
"clGetPlatformIDs failed."))
{
return SDK_FAILURE;
}
if (0 < numPlatforms)
{
cl_platform_id* platforms = new cl_platform_id[numPlatforms];
status = clGetPlatformIDs(numPlatforms, platforms, NULL);
if(!sampleCommon->checkVal(status,
CL_SUCCESS,
"clGetPlatformIDs failed."))
{
return SDK_FAILURE;
}
if(isPlatformEnabled())
{
platform = platforms[platformId];
}
else
{
for (unsigned i = 0; i < numPlatforms; ++i)
{
char pbuf[100];
status = clGetPlatformInfo(platforms[i],
CL_PLATFORM_VENDOR,
sizeof(pbuf),
pbuf,
NULL);
if(!sampleCommon->checkVal(status,
CL_SUCCESS,
"clGetPlatformInfo failed."))
{
return SDK_FAILURE;
}
platform = platforms[i];
if (!strcmp(pbuf, "Advanced Micro Devices, Inc."))
{
break;
}
}
}
delete[] platforms;
}
if(NULL == platform)
{
sampleCommon->error("NULL platform found so Exiting Application.");
return SDK_FAILURE;
}
// Display available devices.
if(!sampleCommon->displayDevices(platform, dType))
{
sampleCommon->error("sampleCommon::displayDevices() failed");
return SDK_FAILURE;
}
/*
* 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(!sampleCommon->checkVal(status,
CL_SUCCESS,
"clCreateContextFromType failed."))
return SDK_FAILURE;
/* First, get the size of device list data */
status = clGetContextInfo(
context,
CL_CONTEXT_DEVICES,
0,
NULL,
&deviceListSize);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clGetContextInfo failed."))
return SDK_FAILURE;
int deviceCount = (int)(deviceListSize / sizeof(cl_device_id));
if(!sampleCommon->validateDeviceId(deviceId, deviceCount))
{
sampleCommon->error("sampleCommon::validateDeviceId() failed");
return SDK_FAILURE;
}
/* Now allocate memory for device list based on the size we got earlier */
devices = (cl_device_id *)malloc(deviceListSize);
if(devices == NULL)
{
sampleCommon->error("Failed to allocate memory (devices).");
return SDK_FAILURE;
}
/* Now, get the device list data */
status = clGetContextInfo(
context,
CL_CONTEXT_DEVICES,
deviceListSize,
devices,
NULL);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clGetGetContextInfo failed."))
return SDK_FAILURE;
{
/* The block is to move the declaration of prop closer to its use */
cl_command_queue_properties prop = 0;
commandQueue = clCreateCommandQueue(
context,
devices[deviceId],
prop,
&status);
if(!sampleCommon->checkVal(
status,
0,
"clCreateCommandQueue failed."))
return SDK_FAILURE;
}
inputBuffer = clCreateBuffer(
context,
CL_MEM_READ_WRITE,
sizeof(cl_float) * length,
0,
&status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateBuffer failed. (inputBuffer)"))
return SDK_FAILURE;
/* create a CL program using the kernel source */
streamsdk::SDKFile kernelFile;
std::string kernelPath = sampleCommon->getPath();
if(isLoadBinaryEnabled())
{
kernelPath.append(loadBinary.c_str());
if(!kernelFile.readBinaryFromFile(kernelPath.c_str()))
{
std::cout << "(3) Failed to load kernel file : " << kernelPath << std::endl;
return SDK_FAILURE;
}
const char * binary = kernelFile.source().c_str();
size_t binarySize = kernelFile.source().size();
program = clCreateProgramWithBinary(context,
1,
&devices[deviceId],
(const size_t *)&binarySize,
(const unsigned char**)&binary,
NULL,
&status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateProgramWithBinary failed."))
return SDK_FAILURE;
}
else
{
// special case for packetized OpenCL (can not yet compile .cl directly)
char vName[100];
status = clGetPlatformInfo(platform,
CL_PLATFORM_VENDOR,
sizeof(vName),
vName,
NULL);
const bool platformIsPacketizedOpenCL = !strcmp(vName, "Ralf Karrenberg, Saarland University");
if (!strcmp(vName, "Intel(R) Corporation")) {
vendorName = "intel";
} else if (!strcmp(vName, "Advanced Micro Devices, Inc.")) {
vendorName = "amd";
} else if (platformIsPacketizedOpenCL) {
vendorName = "pkt";
} else {
printf("ERROR: vendor not recognized: %s\n", vName);
}
kernelPath.append("FastWalshTransform_Kernels.cl");
if(!kernelFile.open(kernelPath.c_str()))
{
std::cout << "(4) Failed to load kernel file : " << kernelPath << std::endl;
return SDK_FAILURE;
}
const char * source = kernelFile.source().c_str();
size_t sourceSize[] = { strlen(source) };
program = clCreateProgramWithSource(context,
1,
&source,
sourceSize,
&status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateProgramWithSource failed."))
return SDK_FAILURE;
}
std::string flagsStr = std::string("");
// Get additional options
if(isComplierFlagsSpecified())
{
streamsdk::SDKFile flagsFile;
std::string flagsPath = sampleCommon->getPath();
flagsPath.append(flags.c_str());
if(!flagsFile.open(flagsPath.c_str()))
{
std::cout << "Failed to load flags file: " << flagsPath << std::endl;
return SDK_FAILURE;
}
flagsFile.replaceNewlineWithSpaces();
const char * flags = flagsFile.source().c_str();
flagsStr.append(flags);
}
if(flagsStr.size() != 0)
std::cout << "Build Options are : " << flagsStr.c_str() << std::endl;
/* create a cl program executable for all the devices specified */
status = clBuildProgram(program,
1,
&devices[deviceId],
flagsStr.c_str(),
NULL,
NULL);
if(status != CL_SUCCESS)
{
if(status == CL_BUILD_PROGRAM_FAILURE)
{
cl_int logStatus;
char * buildLog = NULL;
size_t buildLogSize = 0;
logStatus = clGetProgramBuildInfo(program,
devices[deviceId],
CL_PROGRAM_BUILD_LOG,
buildLogSize,
buildLog,
&buildLogSize);
if(!sampleCommon->checkVal(logStatus,
CL_SUCCESS,
"clGetProgramBuildInfo failed."))
{
return SDK_FAILURE;
}
buildLog = (char*)malloc(buildLogSize);
if(buildLog == NULL)
{
sampleCommon->error("Failed to allocate host memory. (buildLog)");
return SDK_FAILURE;
}
memset(buildLog, 0, buildLogSize);
logStatus = clGetProgramBuildInfo(program,
devices[deviceId],
CL_PROGRAM_BUILD_LOG,
buildLogSize,
buildLog,
NULL);
if(!sampleCommon->checkVal(logStatus,
CL_SUCCESS,
"clGetProgramBuildInfo failed."))
{
free(buildLog);
return SDK_FAILURE;
}
std::cout << " \n\t\t\tBUILD LOG\n";
std::cout << " ************************************************\n";
std::cout << buildLog << std::endl;
std::cout << " ************************************************\n";
free(buildLog);
}
if(!sampleCommon->checkVal(status,
CL_SUCCESS,
"clBuildProgram failed."))
{
return SDK_FAILURE;
}
}
/* get a kernel object handle for a kernel with the given name */
kernel = clCreateKernel(program, "fastWalshTransform", &status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateKernel failed."))
return SDK_FAILURE;
return SDK_SUCCESS;
}
int
PrefixSum::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon->getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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.");
status = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed");
//Set device info of given cl_device_id
status = deviceInfo.setDeviceInfo(devices[deviceId]);
CHECK_ERROR(status, SDK_SUCCESS, "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[deviceId],
prop,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
}
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if(isAmdPlatform())
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
inputBuffer = clCreateBuffer(
context,
inMemFlags,
sizeof(cl_float) * length,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inputBuffer)");
outputBuffer = clCreateBuffer(
context,
CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR,
sizeof(cl_float) * length,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputBuffer)");
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("PrefixSum_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernel = clCreateKernel(program, "prefixSum", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.");
return SDK_SUCCESS;
}
int
FloydWarshall::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(isThereGPU() == false)
{
std::cout << "GPU not found. Fall 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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::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[deviceId],
prop,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
}
pathDistanceBuffer = clCreateBuffer(context,
CL_MEM_READ_WRITE,
sizeof(cl_uint) * numNodes * numNodes,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (pathDistanceBuffer)");
pathBuffer = clCreateBuffer(context,
CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR,
sizeof(cl_uint) * numNodes * numNodes,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (pathBuffer)");
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("FloydWarshall_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, 0, "sampleCommon::buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernel = clCreateKernel(program, "floydWarshallPass", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.");
return SDK_SUCCESS;
}
int
FluidSimulation2D::setupCL()
{
cl_int status = CL_SUCCESS;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::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[deviceId],
prop,
&status);
CHECK_OPENCL_ERROR( status, "clCreateCommandQueue failed.");
}
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[deviceId]);
CHECK_ERROR(retValue, 0, "SDKDeviceInfo::setDeviceInfo() failed");
std::string buildOptions = std::string("");
// Check if cl_khr_fp64 extension is supported
if(strstr(deviceInfo.extensions, "cl_khr_fp64"))
{
buildOptions.append("-D KHR_DP_EXTENSION");
}
else
{
// Check if cl_amd_fp64 extension is supported
if(!strstr(deviceInfo.extensions, "cl_amd_fp64"))
{
reqdExtSupport = false;
OPENCL_EXPECTED_ERROR("Device does not support cl_amd_fp64 extension!");
}
}
/*
* Create and initialize memory objects
*/
size_t temp = dims[0] * dims[1];
d_if0 = clCreateBuffer(context,
CL_MEM_READ_WRITE,
sizeof(cl_double) * temp,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_if0)");
status = clEnqueueWriteBuffer(commandQueue,
d_if0,
1,
0,
sizeof(cl_double) * temp,
h_if0,
0, 0, 0);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (d_if0)");
d_if1234 = clCreateBuffer(context,
CL_MEM_READ_WRITE,
sizeof(cl_double4) * temp,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_if1234)");
status = clEnqueueWriteBuffer(commandQueue,
d_if1234,
1,
0,
sizeof(cl_double4) * temp,
h_if1234,
0, 0, 0);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (d_if1234)");
d_if5678 = clCreateBuffer(context,
CL_MEM_READ_WRITE,
sizeof(cl_double4) * temp,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_if5678)");
status = clEnqueueWriteBuffer(commandQueue,
d_if5678,
1,
0,
sizeof(cl_double4) * temp,
h_if5678,
0, 0, 0);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (d_if5678)");
d_of0 = clCreateBuffer(context,
CL_MEM_READ_WRITE,
sizeof(cl_double) * temp,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_of0)");
d_of1234 = clCreateBuffer(context,
CL_MEM_READ_WRITE,
sizeof(cl_double4) * temp,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_of1234)");
d_of5678 = clCreateBuffer(context,
CL_MEM_READ_WRITE,
sizeof(cl_double4) * temp,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (d_of5678)");
status = clEnqueueCopyBuffer(commandQueue,
d_if0,
d_of0,
0, 0, sizeof(cl_double) * temp,
0, 0, 0);
CHECK_OPENCL_ERROR(status, "clEnqueueCopyBuffer failed. (d_if0->d_of0)");
status = clEnqueueCopyBuffer(commandQueue,
d_if1234,
d_of1234,
0, 0, sizeof(cl_double4) * temp,
0, 0, 0);
CHECK_OPENCL_ERROR(status, "clEnqueueCopyBuffer failed. (d_if1234->d_of1234)");
status = clEnqueueCopyBuffer(commandQueue,
d_if5678,
d_of5678,
0, 0, sizeof(cl_double4) * temp,
0, 0, 0);
CHECK_OPENCL_ERROR(status, "clEnqueueCopyBuffer failed. (d_if5678->d_of5678)");
status = clFinish(commandQueue);
CHECK_OPENCL_ERROR(status, "clFinish failed.");
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if(isAmdPlatform())
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
//Constant arrays
type = clCreateBuffer(context,
inMemFlags,
sizeof(cl_bool) * temp,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (type)");
weight = clCreateBuffer(context,
CL_MEM_READ_ONLY,
sizeof(cl_double) * 9,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (weight)");
status = clEnqueueWriteBuffer(commandQueue,
weight,
1, 0, sizeof(cl_double) * 9,
w,
0, 0, 0);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (weight)");
velocity = clCreateBuffer(context,
CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR,
sizeof(cl_double2) * temp,
0, &status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (velocity)");
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("FluidSimulation2D_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, 0, "sampleCommon::buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernel = clCreateKernel(
program,
"lbm",
&status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.");
return SDK_SUCCESS;
}
int
ScanLargeArrays::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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.");
status = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::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[deviceId],
prop,
&status);
if(sampleCommon->checkVal(
status,
0,
"clCreateCommandQueue failed."))
return SDK_FAILURE;
}
// Get Device specific Information
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[deviceId]);
CHECK_ERROR(retValue, SDK_SUCCESS, "SDKDeviceInfo::setDeviceInfo() failed");
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("ScanLargeArrays_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
bScanKernel = clCreateKernel(program, "ScanLargeArrays", &status);
CHECK_OPENCL_ERROR(status,"clCreateKernel failed.(bScanKernel)");
bAddKernel = clCreateKernel(program, "blockAddition", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(bAddKernel)");
// get a kernel object handle for a kernel with the given name
pScanKernel = clCreateKernel(program, "prefixSum", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(pScanKernel)");
status = kernelInfoBScan.setKernelWorkGroupInfo(bScanKernel,devices[deviceId]);
CHECK_ERROR(status, SDK_SUCCESS, " setKernelWorkGroupInfo() failed");
status = kernelInfoBAdd.setKernelWorkGroupInfo(pScanKernel,devices[deviceId]);
CHECK_ERROR(status, SDK_SUCCESS, " setKernelWorkGroupInfo() failed");
status = kernelInfoPScan.setKernelWorkGroupInfo(bAddKernel,devices[deviceId]);
CHECK_ERROR(status, SDK_SUCCESS, " setKernelWorkGroupInfo() failed");
// Find munimum of all kernel's group-sizes
size_t temp = min(kernelInfoBScan.kernelWorkGroupSize, kernelInfoPScan.kernelWorkGroupSize);
temp = (temp > kernelInfoBAdd.kernelWorkGroupSize) ? kernelInfoBAdd.kernelWorkGroupSize : temp;
if(blockSize > (cl_uint)temp)
{
if(!quiet)
{
std::cout << "Out of Resources!" << std::endl;
std::cout << "Group Size specified : " << blockSize << std::endl;
std::cout << "Max Group Size supported on the kernel : "
<< temp << std::endl;
std::cout << "Falling back to " << temp << std::endl;
}
blockSize = (cl_uint)temp;
}
blockSize = min(blockSize,length/2);
// Calculate number of passes required
float t = log((float)length) / log((float)blockSize);
pass = (cl_uint)t;
// If t is equal to pass
if(fabs(t - (float)pass) < 1e-7)
{
pass--;
}
// Create input buffer on device
inputBuffer = clCreateBuffer(
context,
CL_MEM_READ_ONLY,
sizeof(cl_float) * length,
0,
&status);
CHECK_OPENCL_ERROR(status,"clCreateBuffer failed.(inputBuffer)");
// Allocate output buffers
outputBuffer = (cl_mem*)malloc(pass * sizeof(cl_mem));
for(int i = 0; i < (int)pass; i++)
{
int size = (int)(length / pow((float)blockSize,(float)i));
outputBuffer[i] = clCreateBuffer(
context,
CL_MEM_READ_WRITE,
sizeof(cl_float) * size,
0,
&status);
CHECK_OPENCL_ERROR(status,"clCreateBuffer failed.(outputBuffer)");
}
// Allocate blockSumBuffers
blockSumBuffer = (cl_mem*)malloc(pass * sizeof(cl_mem));
for(int i = 0; i < (int)pass; i++)
{
int size = (int)(length / pow((float)blockSize,(float)(i + 1)));
blockSumBuffer[i] = clCreateBuffer(
context,
CL_MEM_READ_WRITE,
sizeof(cl_float) * size,
0,
&status);
CHECK_OPENCL_ERROR(status,"clCreateBuffer failed.(blockSumBuffer)");
}
// Create a tempBuffer on device
int tempLength = (int)(length / pow((float)blockSize, (float)pass));
tempBuffer = clCreateBuffer(context,
CL_MEM_READ_WRITE,
sizeof(cl_float) * tempLength,
0,
&status);
CHECK_OPENCL_ERROR(status,"clCreateBuffer failed.(tempBuffer)");
return SDK_SUCCESS;
}
int MathBenchmark::setupCL(void) {
cl_int status = 0;
cl_device_type dType;
if (deviceType.compare("cpu") == 0) {
dType = CL_DEVICE_TYPE_CPU;
} else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if (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 = sampleCommon->getPlatform(platform, platformId,
isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId,
isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed");
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[deviceId]);
CHECK_ERROR(retValue, SDK_SUCCESS, "SDKDeviceInfo::setDeviceInfo() failed");
maxWorkGroup = deviceInfo.maxWorkGroupSize;
max_mem_alloc_size = deviceInfo.maxMemAllocSize;
while (maxMemSize <= (unsigned int) (max_mem_alloc_size)) {
maxMemSize *= 2;
}
maxMemSize /= 2;
if (maxMemSize > 134217728 && dType == CL_DEVICE_TYPE_CPU) {
maxMemSize = 134217728;
}
std::cout << "CL_DEVICE_MAX_WORK_GROUP_SIZE:\t" << maxWorkGroup
<< std::endl;
std::cout << "MaxMemSize:\t" << maxMemSize / (1024 * 1024) << "MB"
<< std::endl;
{
// 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[deviceId], prop,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
}
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("mathoper.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("");
if (isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if (isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS,
"sampleCommon::buildOpenCLProgram() failed");
std::string s;
std::stringstream ss(s);
ss << "kernel_asinh_withDD";
ss << vectorSize;
// Create the cKermel_kernel_asinh_withDD
kernel[0] = clCreateKernel(program, ss.str().c_str(), &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(kernel_asinh_withDD)");
std::stringstream asinh_withoutDD(s);
asinh_withoutDD << "kernel_asinh_withoutDD";
asinh_withoutDD << vectorSize;
//dumpPTXCode(context,program,asinh_withoutDD.str().c_str());
// Create the cKermel_kernel_asinh_withoutDD
kernel[1] = clCreateKernel(program, asinh_withoutDD.str().c_str(), &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(kernel_asinh_withoutDD)");
std::stringstream acosh_withDD(s);
acosh_withDD << "kernel_acosh_withDD";
acosh_withDD << vectorSize;
//dumpPTXCode(context,program,acosh_withDD.str().c_str());
// Create the cKermel_kernel_acosh_withDD
kernel[2] = clCreateKernel(program, acosh_withDD.str().c_str(), &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(kernel_acosh_withDD)");
std::stringstream acosh_withoutDD(s);
acosh_withoutDD << "kernel_acosh_withoutDD";
acosh_withoutDD << vectorSize;
//dumpPTXCode(context,program,acosh_withoutDD.str().c_str());
// Create the cKermel_kernel_acosh_withoutDD
kernel[3] = clCreateKernel(program, acosh_withoutDD.str().c_str(), &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(kernel_acosh_withoutDD)");
std::stringstream atanh_withDD(s);
atanh_withDD << "kernel_atanh_withDD";
atanh_withDD << vectorSize;
//dumpPTXCode(context,program,atanh_withDD.str().c_str());
// Create the cKermel_kernel_atanh_withDD
kernel[4] = clCreateKernel(program, atanh_withDD.str().c_str(), &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(kernel_atanh_withDD)");
std::stringstream atanh_withoutDD(s);
atanh_withoutDD << "kernel_atanh_withoutDD";
atanh_withoutDD << vectorSize;
//dumpPTXCode(context,program,atanh_withoutDD.str().c_str());
// Create the cKermel_kernel_atanh_withoutDD
kernel[5] = clCreateKernel(program, atanh_withoutDD.str().c_str(), &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(kernel_atanh_withoutDD)");
std::stringstream asinpi_withDD(s);
asinpi_withDD << "kernel_asinpi_withDD";
asinpi_withDD << vectorSize;
//dumpPTXCode(context,program,asinpi_withDD.str().c_str());
// Create the cKermel_kernel_asinpi_withDD
kernel[6] = clCreateKernel(program, asinpi_withDD.str().c_str(), &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(kernel_asinpi_withDD)");
std::stringstream asinpi_withoutDD(s);
asinpi_withoutDD << "kernel_asinpi_withoutDD";
asinpi_withoutDD << vectorSize;
//dumpPTXCode(context,program,asinpi_withoutDD.str().c_str());
// Create the cKermel_kernel_asinpi_withoutDD
kernel[7] = clCreateKernel(program, asinpi_withoutDD.str().c_str(), &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(kernel_asinpi_withoutDD)");
return SDK_SUCCESS;
}
int
Lucas::setupCL (void)
{
cl_int status = 0;
cl_device_type dType;
if (deviceType.compare ("cpu") == 0)
dType = CL_DEVICE_TYPE_CPU;
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if (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.
*/
status = cl::Platform::get (&platforms);
CHECK_OPENCL_ERROR (status, "Platform::get() failed.");
std::vector < cl::Platform >::iterator i;
if (platforms.size () > 0)
{
if (isPlatformEnabled ())
{
i = platforms.begin () + platformId;
}
else
{
for (i = platforms.begin (); i != platforms.end (); ++i)
{
if (!strcmp ((*i).getInfo < CL_PLATFORM_VENDOR > ().c_str (),
"Advanced Micro Devices, Inc."))
{
break;
}
}
}
}
cl_context_properties cps[3] = {
CL_CONTEXT_PLATFORM,
(cl_context_properties) (*i) (),
0
};
if (NULL == (*i) ())
{
sampleCommon->error ("NULL platform found so Exiting Application.");
return SDK_FAILURE;
}
context = cl::Context (dType, cps, NULL, NULL, &status);
CHECK_OPENCL_ERROR (status, "Context::Context() failed.");
devices = context.getInfo < CL_CONTEXT_DEVICES > ();
CHECK_OPENCL_ERROR (status, "Context::getInfo() failed.");
std::cout << "Platform :" << (*i).getInfo < CL_PLATFORM_VENDOR >
().c_str () << "\n";
int deviceCount = (int) devices.size ();
int j = 0;
for (std::vector < cl::Device >::iterator i = devices.begin ();
i != devices.end (); ++i, ++j)
{
std::cout << "Device " << j << " : ";
std::string deviceName = (*i).getInfo < CL_DEVICE_NAME > ();
std::cout << deviceName.c_str () << "\n";
}
std::cout << "\n";
if (deviceCount == 0)
{
std::cerr << "No device available\n";
return SDK_FAILURE;
}
if (sampleCommon->validateDeviceId (deviceId, deviceCount))
{
sampleCommon->error ("sampleCommon::validateDeviceId() failed");
return SDK_FAILURE;
}
std::string extensions =
devices[deviceId].getInfo < CL_DEVICE_EXTENSIONS > ();
std::string buildOptions = std::string ("");
// Check if cl_khr_fp64 extension is supported
if (strstr (extensions.c_str (), "cl_khr_fp64"))
{
buildOptions.append ("-D KHR_DP_EXTENSION");
}
else
{
// Check if cl_amd_fp64 extension is supported
if (!strstr (extensions.c_str (), "cl_amd_fp64"))
{
OPENCL_EXPECTED_ERROR
("Device does not support cl_amd_fp64 extension!");
}
}
cl_uint localMemType;
// Get device specific information
status = devices[deviceId].getInfo<cl_uint>(
CL_DEVICE_LOCAL_MEM_TYPE,
&localMemType);
CHECK_OPENCL_ERROR(status, "Device::getInfo CL_DEVICE_LOCAL_MEM_TYPE) failed.");
// If scratchpad is available then update the flag
if(localMemType != CL_LOCAL)
OPENCL_EXPECTED_ERROR ("Device does not support local memory.");
// Get Device specific Information
status = devices[deviceId].getInfo<size_t>(
CL_DEVICE_MAX_WORK_GROUP_SIZE,
&maxWorkGroupSize);
CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_MAX_WORK_GROUP_SIZE) failed.");
if(threads > maxWorkGroupSize)
OPENCL_EXPECTED_ERROR ("Device does not support threads.");
status = devices[deviceId].getInfo<cl_uint>(
CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS,
&maxDimensions);
CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS) failed.");
maxWorkItemSizes = (size_t*)malloc(maxDimensions * sizeof(size_t));
std::vector<size_t> workItems = devices[deviceId].getInfo<CL_DEVICE_MAX_WORK_ITEM_SIZES>();
for(cl_uint i = 0; i < maxDimensions; ++i)
maxWorkItemSizes[i] = workItems[i];
status = devices[deviceId].getInfo<cl_ulong>(
CL_DEVICE_LOCAL_MEM_SIZE,
&totalLocalMemory);
CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_LOCAL_MEM_SIZES) failed.");
// Set command queue properties
cl_command_queue_properties prop = 0;
if (!eAppGFLOPS)
prop |= CL_QUEUE_PROFILING_ENABLE;
commandQueue = cl::CommandQueue (context, devices[deviceId], prop, &status);
CHECK_OPENCL_ERROR (status, "CommandQueue::CommandQueue() failed.");
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if (isAmdPlatform ())
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
device.push_back (devices[deviceId]);
// create a CL program using the kernel source
streamsdk::SDKFile kernelFile;
std::string kernelPath = sampleCommon->getPath ();
kernelPath.append ("Kernels.cl");
if (!kernelFile.open (kernelPath.c_str ()))
{
std::cout << "Failed to load kernel file : " << kernelPath <<
std::endl;
return SDK_FAILURE;
}
cl::Program::Sources programSource (1,
std::make_pair (kernelFile.
source ().data (),
kernelFile.
source ().size ()));
program = cl::Program (context, programSource, &status);
CHECK_OPENCL_ERROR (status, "Program::Program(Source) failed.");
std::string flagsStr = std::string ("");
status = program.build (device, flagsStr.c_str ());
if (status != CL_SUCCESS)
{
if (status == CL_BUILD_PROGRAM_FAILURE)
{
std::string str =
program.getBuildInfo < CL_PROGRAM_BUILD_LOG > (devices[deviceId]);
std::cout << " \n\t\t\tBUILD LOG\n";
std::cout << " ************************************************\n";
std::cout << str << std::endl;
std::cout << " ************************************************\n";
}
}
CHECK_OPENCL_ERROR (status, "Program::build() failed.");
// Create kernel
// If local memory is present then use the specific kernel
mul_kernel = cl::Kernel (program, "mul_Kernel", &status);
CHECK_OPENCL_ERROR (status, "cl::Kernel failed.");
status = mul_kernel.getWorkGroupInfo < cl_ulong > (devices[deviceId],
CL_KERNEL_LOCAL_MEM_SIZE,
&usedLocalMemory);
CHECK_OPENCL_ERROR (status,
"Kernel::getWorkGroupInfo(CL_KERNEL_LOCAL_MEM_SIZE) failed"
".(usedLocalMemory)");
// Create normalize_kernel
// If local memory is present then use the specific kernel
normalize_kernel = cl::Kernel (program, "normalize_Kernel", &status);
CHECK_OPENCL_ERROR (status, "cl::Kernel failed.");
// Create normalize2_kernel
// If local memory is present then use the specific kernel
normalize2_kernel = cl::Kernel (program, "normalize2_Kernel", &status);
CHECK_OPENCL_ERROR (status, "cl::Kernel failed.");
return SDK_SUCCESS;
}
int
DwtHaar1D::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed");
commandQueue = clCreateCommandQueue(context,
devices[deviceId],
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[deviceId]);
CHECK_ERROR(retValue, 0, "SDKDeviceInfo::setDeviceInfo() failed");
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if(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
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("DwtHaar1DCPPKernel_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("-x clc++ ");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, 0, "sampleCommon::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[deviceId]);
CHECK_ERROR(status, SDK_SUCCESS, " setKernelWorkGroupInfo() failed");
return SDK_SUCCESS;
}
int
ImageOverlap::setupCL()
{
cl_int status = CL_SUCCESS;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed");
status = deviceInfo.setDeviceInfo(devices[deviceId]);
CHECK_OPENCL_ERROR(status, "deviceInfo.setDeviceInfo failed");
if(!deviceInfo.imageSupport)
{
OPENCL_EXPECTED_ERROR(" Expected Error: Device does not support Images");
}
blockSizeX = deviceInfo.maxWorkGroupSize<GROUP_SIZE?deviceInfo.maxWorkGroupSize:GROUP_SIZE;
// Create command queue
cl_command_queue_properties prop = 0;
for(int i=0;i<3;i++)
{
commandQueue[i] = clCreateCommandQueue(
context,
devices[deviceId],
prop,
&status);
CHECK_OPENCL_ERROR(status,"clCreateCommandQueuefailed.");
}
// Create and initialize image objects
// Create map image
mapImage = clCreateImage(context,
CL_MEM_READ_ONLY | CL_MEM_USE_HOST_PTR,
&imageFormat,
&image_desc,
mapImageData,
&status);
CHECK_OPENCL_ERROR(status,"clCreateBuffer failed. (mapImage)");
int color[4] = {0,0,80,255};
size_t origin[3] = {300,300,0};
size_t region[3] = {100,100,1};
status = clEnqueueFillImage(commandQueue[0], mapImage, color, origin, region, NULL, NULL, &eventlist[0]);
// Create fill image
fillImage = clCreateImage(context,
CL_MEM_READ_ONLY | CL_MEM_USE_HOST_PTR,
&imageFormat,
&image_desc,
fillImageData,
&status);
CHECK_OPENCL_ERROR(status,"clCreateBuffer failed. (fillImage)");
color[0] = 80;
color[1] = 0;
color[2] = 0;
color[3] = 0;
origin[0] = 50;
origin[1] = 50;
status = clEnqueueFillImage(commandQueue[1], fillImage, color, origin, region, NULL, NULL, &eventlist[1]);
//Create output image
outputImage = clCreateImage(context,
CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR,
&imageFormat,
&image_desc,
NULL,
&status);
CHECK_OPENCL_ERROR(status,"clCreateBuffer failed. (outputImage)");
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("ImageOverlap_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernelOverLap = clCreateKernel(program, "OverLap", &status);
CHECK_OPENCL_ERROR(status,"clCreateKernel failed.(OverLap)");
return SDK_SUCCESS;
}
int
BoxFilterSeparable::setupCL()
{
cl_int status = 0;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::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[deviceId],
prop,
&status);
CHECK_OPENCL_ERROR( status, "clCreateCommandQueue failed.");
}
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[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_ONLY;
if(isAmdPlatform())
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
// Create memory object for input Image
inputImageBuffer = clCreateBuffer(
context,
inMemFlags,
width * height * pixelSize,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inputImageBuffer)");
// Create memory object for temp Image
tempImageBuffer = clCreateBuffer(
context,
CL_MEM_READ_WRITE,
width * height * pixelSize,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (tempImageBuffer)");
// Create memory objects for output Image
outputImageBuffer = clCreateBuffer(context,
CL_MEM_WRITE_ONLY,
width * height * pixelSize,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputImageBuffer)");
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("BoxFilter_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, 0, "sampleCommon::buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
verticalKernel = clCreateKernel(program,
"box_filter_vertical",
&status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed. (vertical)");
#ifdef USE_LDS
horizontalKernel = clCreateKernel(program,
"box_filter_horizontal_local",
&status);
#else
horizontalKernel = clCreateKernel(program,
"box_filter_horizontal",
&status);
#endif
CHECK_OPENCL_ERROR(status, "clCreateKernel failed. (horizontal)");
status = kernelInfoH.setKernelWorkGroupInfo(horizontalKernel, devices[deviceId]);
CHECK_ERROR(status, SDK_SUCCESS, "setKErnelWorkGroupInfo() failed");
status = kernelInfoV.setKernelWorkGroupInfo(verticalKernel, devices[deviceId]);
CHECK_ERROR(status, SDK_SUCCESS, "setKErnelWorkGroupInfo() failed");
if((blockSizeX * blockSizeY) > kernelInfoV.kernelWorkGroupSize)
{
if(!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 : "
<< kernelInfoV.kernelWorkGroupSize << std::endl;
std::cout << "Falling back to " << kernelInfoV.kernelWorkGroupSize << std::endl;
}
// Three possible cases
if(blockSizeX > kernelInfoV.kernelWorkGroupSize)
{
blockSizeX = kernelInfoV.kernelWorkGroupSize;
blockSizeY = 1;
}
}
return SDK_SUCCESS;
}
int
MatrixMulDouble::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
dType = CL_DEVICE_TYPE_CPU;
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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.
*/
status = cl::Platform::get(&platforms);
CHECK_OPENCL_ERROR(status, "Platform::get() failed.");
std::vector<cl::Platform>::iterator i;
if(platforms.size() > 0)
{
if(isPlatformEnabled())
{
i = platforms.begin() + platformId;
}
else
{
for(i = platforms.begin(); i != platforms.end(); ++i)
{
if(!strcmp((*i).getInfo<CL_PLATFORM_VENDOR>().c_str(),
"Advanced Micro Devices, Inc."))
{
break;
}
}
}
}
cl_context_properties cps[3] =
{
CL_CONTEXT_PLATFORM,
(cl_context_properties)(*i)(),
0
};
if(NULL == (*i)())
{
sampleCommon->error("NULL platform found so Exiting Application.");
return SDK_FAILURE;
}
context = cl::Context(dType, cps, NULL, NULL, &status);
CHECK_OPENCL_ERROR(status, "Context::Context() failed.");
devices = context.getInfo<CL_CONTEXT_DEVICES>();
CHECK_OPENCL_ERROR(status, "Context::getInfo() failed.");
std::cout << "Platform :" << (*i).getInfo<CL_PLATFORM_VENDOR>().c_str() << "\n";
int deviceCount = (int)devices.size();
int j = 0;
for (std::vector<cl::Device>::iterator i = devices.begin(); i != devices.end(); ++i, ++j)
{
std::cout << "Device " << j << " : ";
std::string deviceName = (*i).getInfo<CL_DEVICE_NAME>();
std::cout << deviceName.c_str() << "\n";
}
std::cout << "\n";
if (deviceCount == 0)
{
std::cerr << "No device available\n";
return SDK_FAILURE;
}
if(sampleCommon->validateDeviceId(deviceId, deviceCount))
{
sampleCommon->error("sampleCommon::validateDeviceId() failed");
return SDK_FAILURE;
}
std::string extensions = devices[deviceId].getInfo<CL_DEVICE_EXTENSIONS>();
std::string buildOptions = std::string("");
// Check if cl_khr_fp64 extension is supported
if(strstr(extensions.c_str(), "cl_khr_fp64"))
{
buildOptions.append("-D KHR_DP_EXTENSION");
}
else
{
// Check if cl_amd_fp64 extension is supported
if(!strstr(extensions.c_str(), "cl_amd_fp64"))
{
OPENCL_EXPECTED_ERROR("Device does not support cl_amd_fp64 extension!");
}
}
cl_uint localMemType;
// Get device specific information
status = devices[deviceId].getInfo<cl_uint>(
CL_DEVICE_LOCAL_MEM_TYPE,
&localMemType);
CHECK_OPENCL_ERROR(status, "Device::getInfo CL_DEVICE_LOCAL_MEM_TYPE) failed.");
// If scratchpad is available then update the flag
if(localMemType == CL_LOCAL)
lds = true;
// Get Device specific Information
status = devices[deviceId].getInfo<size_t>(
CL_DEVICE_MAX_WORK_GROUP_SIZE,
&maxWorkGroupSize);
CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_MAX_WORK_GROUP_SIZE) failed.");
status = devices[deviceId].getInfo<cl_uint>(
CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS,
&maxDimensions);
CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS) failed.");
maxWorkItemSizes = (size_t*)malloc(maxDimensions * sizeof(size_t));
std::vector<size_t> workItems = devices[deviceId].getInfo<CL_DEVICE_MAX_WORK_ITEM_SIZES>();
for(cl_uint i = 0; i < maxDimensions; ++i)
maxWorkItemSizes[i] = workItems[i];
status = devices[deviceId].getInfo<cl_ulong>(
CL_DEVICE_LOCAL_MEM_SIZE,
&totalLocalMemory);
CHECK_OPENCL_ERROR(status, "Device::getInfo(CL_DEVICE_LOCAL_MEM_SIZES) failed.");
// Set command queue properties
cl_command_queue_properties prop = 0;
if(!eAppGFLOPS)
prop |= CL_QUEUE_PROFILING_ENABLE;
commandQueue = cl::CommandQueue(context, devices[deviceId], prop, &status);
CHECK_OPENCL_ERROR(status, "CommandQueue::CommandQueue() failed.");
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if(isAmdPlatform())
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
// Create buffer for matrix A
inputBufA = cl::Buffer(
context,
inMemFlags,
sizeof(cl_double) * widthA * heightA,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "cl::Buffer failed. (inputBufA)");
// Create buffer for matrix B
inputBufB = cl::Buffer(
context,
inMemFlags,
sizeof(cl_double) * widthB * heightB,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "cl::Buffer failed. (inputBufB)");
outputBuf = cl::Buffer(
context,
CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR,
sizeof(cl_double) * heightA * widthB,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "cl::Buffer failed. (outputBuf)");
device.push_back(devices[deviceId]);
// create a CL program using the kernel source
streamsdk::SDKFile kernelFile;
std::string kernelPath = sampleCommon->getPath();
if(isLoadBinaryEnabled())
{
kernelPath.append(loadBinary.c_str());
if(!kernelFile.readBinaryFromFile(kernelPath.c_str()))
{
std::cout << "Failed to load kernel file : " << kernelPath << std::endl;
return SDK_FAILURE;
}
cl::Program::Binaries programBinary(1,std::make_pair(
(const void*)kernelFile.source().data(),
kernelFile.source().size()));
program = cl::Program(context, device, programBinary, NULL, &status);
CHECK_OPENCL_ERROR(status, "Program::Program(Binary) failed.");
}
else
{
kernelPath.append("MatrixMulDouble_Kernels.cl");
if(!kernelFile.open(kernelPath.c_str()))
{
std::cout << "Failed to load kernel file : " << kernelPath << std::endl;
return SDK_FAILURE;
}
cl::Program::Sources programSource(
1,
std::make_pair(kernelFile.source().data(),
kernelFile.source().size()));
program = cl::Program(context, programSource, &status);
CHECK_OPENCL_ERROR(status, "Program::Program(Source) failed.");
}
std::string flagsStr = std::string("");
// Get build options if any
flagsStr.append(buildOptions.c_str());
// Get additional options
if(isComplierFlagsSpecified())
{
streamsdk::SDKFile flagsFile;
std::string flagsPath = sampleCommon->getPath();
flagsPath.append(flags.c_str());
if(!flagsFile.open(flagsPath.c_str()))
{
std::cout << "Failed to load flags file: " << flagsPath << std::endl;
return SDK_FAILURE;
}
flagsFile.replaceNewlineWithSpaces();
const char * flags = flagsFile.source().c_str();
flagsStr.append(flags);
}
if(flagsStr.size() != 0)
std::cout << "Build Options are : " << flagsStr.c_str() << std::endl;
status = program.build(device, flagsStr.c_str());
if(status != CL_SUCCESS)
{
if(status == CL_BUILD_PROGRAM_FAILURE)
{
std::string str = program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(devices[deviceId]);
std::cout << " \n\t\t\tBUILD LOG\n";
std::cout << " ************************************************\n";
std::cout << str << std::endl;
std::cout << " ************************************************\n";
}
}
CHECK_OPENCL_ERROR(status, "Program::build() failed.");
// Create kernel
// If local memory is present then use the specific kernel
if(lds)
kernel = cl::Kernel(program, "mmmKernel_local", &status);
else
kernel = cl::Kernel(program, "mmmKernel", &status);
CHECK_OPENCL_ERROR(status, "cl::Kernel failed.");
status = kernel.getWorkGroupInfo<cl_ulong>(
devices[deviceId],
CL_KERNEL_LOCAL_MEM_SIZE,
&usedLocalMemory);
CHECK_OPENCL_ERROR(status, "Kernel::getWorkGroupInfo(CL_KERNEL_LOCAL_MEM_SIZE) failed"
".(usedLocalMemory)");
availableLocalMemory = totalLocalMemory - usedLocalMemory;
if(lds)
neededLocalMemory = (blockSize * 4) * (blockSize * 4) * sizeof(cl_double);
else
neededLocalMemory = 0;
if(neededLocalMemory > availableLocalMemory)
{
std::cout << "Unsupported: Insufficient local memory on device." << std::endl;
return SDK_FAILURE;
}
// Check group size against group size returned by kernel
kernelWorkGroupSize = kernel.getWorkGroupInfo<CL_KERNEL_WORK_GROUP_SIZE>(devices[deviceId], &status);
CHECK_OPENCL_ERROR(status, "Kernel::getWorkGroupInfo() failed.");
if((cl_uint)(blockSize * blockSize) > kernelWorkGroupSize)
{
if(kernelWorkGroupSize >= 64)
blockSize = 8;
else if(kernelWorkGroupSize >= 32)
blockSize = 4;
else
{
std::cout << "Out of Resources!" << std::endl;
std::cout << "Group Size specified : " << blockSize * blockSize << std::endl;
std::cout << "Max Group Size supported on the kernel : "
<< kernelWorkGroupSize<<std::endl;
return SDK_FAILURE;
}
}
if(blockSize > maxWorkItemSizes[0] ||
blockSize > maxWorkItemSizes[1] ||
blockSize * blockSize > maxWorkGroupSize)
{
sampleCommon->error("Unsupported: Device does not support requested number of work items.");
return SDK_FAILURE;
}
return SDK_SUCCESS;
}
int
BinomialOption::setupCL()
{
cl_int status = CL_SUCCESS;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed");
status = deviceInfo.setDeviceInfo(devices[deviceId]);
CHECK_OPENCL_ERROR(status, "deviceInfo.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[deviceId],
prop,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
}
// Create and initialize memory objects
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
// if(isAmdPlatform())
// inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
// Create memory object for stock price
randBuffer = clCreateBuffer(context,
inMemFlags,
numSamples * sizeof(cl_float4),
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (randBuffer)");
// Create memory object for output array
outBuffer = clCreateBuffer(context,
CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR,
numSamples * sizeof(cl_float4),
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outBuffer)");
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("BinomialOption_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernel = clCreateKernel(program,
"binomial_options",
&status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.");
status = kernelInfo.setKernelWorkGroupInfo(kernel, devices[deviceId]);
CHECK_OPENCL_ERROR(status, "kernelInfo.setKernelWorkGroupInfo failed");
// If group-size is gerater than maximum supported on kernel
if((size_t)(numSteps + 1) > kernelInfo.kernelWorkGroupSize)
{
if(!quiet)
{
std::cout << "Out of Resources!" << std::endl;
std::cout << "Group Size specified : " << (numSteps + 1) << std::endl;
std::cout << "Max Group Size supported on the kernel : "
<< kernelInfo.kernelWorkGroupSize << std::endl;
std::cout << "Using appropiate group-size." << std::endl;
std::cout << "-------------------------------------------" << std::endl;
}
numSteps = (cl_int)kernelInfo.kernelWorkGroupSize - 2;
}
return SDK_SUCCESS;
}
int
GaussianNoise::setupCL()
{
cl_int err = CL_SUCCESS;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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.
*/
err = cl::Platform::get(&platforms);
CHECK_OPENCL_ERROR(err, "Platform::get() failed.");
std::vector<cl::Platform>::iterator i;
if(platforms.size() > 0)
{
if(isPlatformEnabled())
{
i = platforms.begin() + platformId;
}
else
{
for(i = platforms.begin(); i != platforms.end(); ++i)
{
if(!strcmp((*i).getInfo<CL_PLATFORM_VENDOR>().c_str(),
"Advanced Micro Devices, Inc."))
{
break;
}
}
}
}
cl_context_properties cps[3] =
{
CL_CONTEXT_PLATFORM,
(cl_context_properties)(*i)(),
0
};
context = cl::Context(dType, cps, NULL, NULL, &err);
CHECK_OPENCL_ERROR(err, "Context::Context() failed.");
devices = context.getInfo<CL_CONTEXT_DEVICES>();
CHECK_OPENCL_ERROR(err, "Context::getInfo() failed.");
std::cout << "Platform :" << (*i).getInfo<CL_PLATFORM_VENDOR>().c_str() << "\n";
int deviceCount = (int)devices.size();
int j = 0;
for (std::vector<cl::Device>::iterator i = devices.begin(); i != devices.end(); ++i, ++j)
{
std::cout << "Device " << j << " : ";
std::string deviceName = (*i).getInfo<CL_DEVICE_NAME>();
std::cout << deviceName.c_str() << "\n";
}
std::cout << "\n";
if (deviceCount == 0)
{
std::cerr << "No device available\n";
return SDK_FAILURE;
}
if(sampleCommon->validateDeviceId(deviceId, deviceCount))
{
sampleCommon->error("sampleCommon::validateDeviceId() failed");
return SDK_FAILURE;
}
commandQueue = cl::CommandQueue(context, devices[deviceId], 0, &err);
CHECK_OPENCL_ERROR(err, "CommandQueue::CommandQueue() failed.");
/*
* Create and initialize memory objects
*/
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if(isAmdPlatform())
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
// Create memory object for input Image
inputImageBuffer = cl::Buffer(context,
inMemFlags,
width * height * pixelSize,
0,
&err);
CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (inputImageBuffer)");
// Create memory object for output Image
outputImageBuffer = cl::Buffer(context,
CL_MEM_WRITE_ONLY,
width * height * pixelSize,
NULL,
&err);
CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (outputImageBuffer)");
device.push_back(devices[deviceId]);
// create a CL program using the kernel source
streamsdk::SDKFile kernelFile;
std::string kernelPath = sampleCommon->getPath();
if(isLoadBinaryEnabled())
{
kernelPath.append(loadBinary.c_str());
if(!kernelFile.readBinaryFromFile(kernelPath.c_str()))
{
std::cout << "Failed to load kernel file : " << kernelPath << std::endl;
return SDK_FAILURE;
}
cl::Program::Binaries programBinary(1,std::make_pair(
(const void*)kernelFile.source().data(),
kernelFile.source().size()));
program = cl::Program(context, device, programBinary, NULL, &err);
CHECK_OPENCL_ERROR(err, "Program::Program(Binary) failed.");
}
else
{
kernelPath.append("GaussianNoise_Kernels.cl");
if(!kernelFile.open(kernelPath.c_str()))
{
std::cout << "Failed to load kernel file : " << kernelPath << std::endl;
return SDK_FAILURE;
}
cl::Program::Sources programSource(1,
std::make_pair(kernelFile.source().data(),
kernelFile.source().size()));
program = cl::Program(context, programSource, &err);
CHECK_OPENCL_ERROR(err, "Program::Program(Source) failed.");
}
std::string flagsStr = std::string("");
// Get additional options
if(isComplierFlagsSpecified())
{
streamsdk::SDKFile flagsFile;
std::string flagsPath = sampleCommon->getPath();
flagsPath.append(flags.c_str());
if(!flagsFile.open(flagsPath.c_str()))
{
std::cout << "Failed to load flags file: " << flagsPath << std::endl;
return SDK_FAILURE;
}
flagsFile.replaceNewlineWithSpaces();
const char * flags = flagsFile.source().c_str();
flagsStr.append(flags);
}
if(flagsStr.size() != 0)
std::cout << "Build Options are : " << flagsStr.c_str() << std::endl;
err = program.build(device, flagsStr.c_str());
if(err != CL_SUCCESS)
{
if(err == CL_BUILD_PROGRAM_FAILURE)
{
std::string str = program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(devices[deviceId]);
std::cout << " \n\t\t\tBUILD LOG\n";
std::cout << " ************************************************\n";
std::cout << str << std::endl;
std::cout << " ************************************************\n";
}
}
CHECK_OPENCL_ERROR(err, "Program::build() failed.");
// Create kernel
kernel = cl::Kernel(program, "gaussian_transform", &err);
CHECK_OPENCL_ERROR(err, "Kernel::Kernel() failed.");
// Check group size against group size returned by kernel
kernelWorkGroupSize = kernel.getWorkGroupInfo<CL_KERNEL_WORK_GROUP_SIZE>(devices[deviceId], &err);
CHECK_OPENCL_ERROR(err, "Kernel::getWorkGroupInfo() failed.");
if((blockSizeX * blockSizeY) > kernelWorkGroupSize)
{
if(!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 : "
<< kernelWorkGroupSize << std::endl;
std::cout << "Falling back to " << kernelWorkGroupSize << std::endl;
}
if(blockSizeX > kernelWorkGroupSize)
{
blockSizeX = kernelWorkGroupSize;
blockSizeY = 1;
}
}
return SDK_SUCCESS;
}
int
GlobalMemoryBandwidth::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed");
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[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[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[deviceId],
prop,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
}
cl_uint sizeElement = vectorSize * sizeof(cl_float);
cl_uint readLength = length + (NUM_READS * 1024 / sizeElement) + EXTRA_BYTES;
cl_uint size = readLength * vectorSize * sizeof(cl_float);
// Create input buffer
inputBuffer = clCreateBuffer(context,
CL_MEM_READ_ONLY,
size,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inputBuffer)");
// Write data to buffer
status = clEnqueueWriteBuffer(commandQueue,
inputBuffer,
1,
0,
size,
input,
0,
0,
0);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (inputBuffer)");
outputBufferReadSingle = clCreateBuffer(context,
CL_MEM_WRITE_ONLY,
sizeof(cl_float) * vectorSize * length,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputBufferReadSingle)");
// Write data to buffer
status = clEnqueueWriteBuffer(commandQueue,
outputBufferReadSingle,
CL_TRUE,
0,
sizeof(cl_float) * vectorSize * length,
outputReadSingle,
0,
NULL,
NULL);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (outputBufferReadSingle)");
outputBufferReadLinear = clCreateBuffer(context,
CL_MEM_WRITE_ONLY,
sizeof(cl_float) * vectorSize * length,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputBufferReadLinear)");
// Write data to buffer
status = clEnqueueWriteBuffer(commandQueue,
outputBufferReadLinear,
CL_TRUE,
0,
sizeof(cl_float) * vectorSize * length,
outputReadLinear,
0,
NULL,
NULL);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (outputBufferReadLinear)");
outputBufferReadLU = clCreateBuffer(context,
CL_MEM_WRITE_ONLY,
sizeof(cl_float) * vectorSize * length,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputBufferReadLU)");
// Write data to buffer
status = clEnqueueWriteBuffer(commandQueue,
outputBufferReadLU,
CL_TRUE,
0,
sizeof(cl_float) * vectorSize * length,
outputReadLU,
0,
NULL,
NULL);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (outputBufferReadLU)");
outputBufferWriteLinear = clCreateBuffer(context,
CL_MEM_WRITE_ONLY,
size,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputBufferWriteLinear)");
// Write data to buffer
status = clEnqueueWriteBuffer(commandQueue,
outputBufferWriteLinear,
CL_TRUE,
0,
size,
outputWriteLinear,
0,
NULL,
NULL);
CHECK_OPENCL_ERROR(status, "clEnqueueWriteBuffer failed. (outputBufferWriteLinear)");
// create a CL program using the kernel source
char buildOption[128];
if(vectorSize == 1)
sprintf(buildOption, "-D DATATYPE=float -D OFFSET=%d ", OFFSET);
else
sprintf(buildOption, "-D DATATYPE=float%d -D OFFSET=%d ", (vec3 == true) ? 3 : vectorSize, OFFSET);
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("GlobalMemoryBandwidth_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string(buildOption);
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::buildOpenCLProgram() failed");
// Global memory bandwidth from read-single access
kernel[0] = clCreateKernel(program, "read_single", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(read_single)");
// Global memory bandwidth from read-linear access
kernel[1] = clCreateKernel(program, "read_linear", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(read_linear)");
// Global memory bandwidth from read-linear access
kernel[2] = clCreateKernel(program, "read_linear_uncached", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(read_linear_uncached)");
// Global memory bandwidth from write-linear access
kernel[3] = clCreateKernel(program, "write_linear", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(GlobalBandwidth_write_linear)");
return SDK_SUCCESS;
}
int
MatrixTranspose::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_ACCELERATOR;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, SDK_SUCCESS, "sampleCommon::getDevices() failed");
// Get Device specific Information, Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[deviceId]);
CHECK_ERROR(retValue, SDK_SUCCESS, "SDKDeviceInfo::setDeviceInfo() 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[deviceId],
prop,
&status);
CHECK_ERROR(status, 0, "clCreateCommandQueue failed.");
}
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
/*
if(isAmdPlatform())
// To achieve best performance, use persistent memory together with
// clEnqueueMapBuffer (instead of clEnqeueRead/Write).
// At the same time, in general, the best performance is the function
// of access pattern and size of the buffer.
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;*/
inputBuffer = clCreateBuffer(
context,
inMemFlags,
sizeof(cl_float) * width * height,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (inputBuffer)");
outputBuffer = clCreateBuffer(
context,
CL_MEM_WRITE_ONLY,
sizeof(cl_float) * width * height,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (outputBuffer)");
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("MatrixTranspose_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernel = clCreateKernel(program, "matrixTranspose", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.");
status = kernelInfo.setKernelWorkGroupInfo(kernel, devices[deviceId]);
CHECK_ERROR(status, SDK_SUCCESS, "setKErnelWorkGroupInfo() failed");
availableLocalMemory = deviceInfo.localMemSize - kernelInfo.localMemoryUsed;
// each work item is going to work on [elemsPerThread1Dim x elemsPerThread1Dim] matrix elements,
// therefore the total size of needed local memory is calculated as
// # of WIs in a group multiplied by # of matrix elements per a WI
neededLocalMemory = blockSize * blockSize * elemsPerThread1Dim * elemsPerThread1Dim * sizeof(cl_float);
if(neededLocalMemory > availableLocalMemory)
{
std::cout << "Unsupported: Insufficient local memory on device." << std::endl;
return SDK_FAILURE;
}
if((cl_uint)(blockSize * blockSize) > kernelInfo.kernelWorkGroupSize)
{
if(kernelInfo.kernelWorkGroupSize >= 64)
blockSize = 8;
else if(kernelInfo.kernelWorkGroupSize >= 32)
blockSize = 4;
else
{
std::cout << "Out of Resources!" << std::endl;
std::cout << "Group Size specified : " << blockSize * blockSize << std::endl;
std::cout << "Max Group Size supported on the kernel : "
<< kernelInfo.kernelWorkGroupSize << std::endl;
return SDK_FAILURE;
}
}
if(blockSize > deviceInfo.maxWorkItemSizes[0] ||
blockSize > deviceInfo.maxWorkItemSizes[1] ||
(size_t)blockSize * blockSize > deviceInfo.maxWorkGroupSize)
{
std::cout << "Unsupported: Device does not support requested number of work items." << std::endl;
return SDK_FAILURE;
}
return SDK_SUCCESS;
}
int
MatrixMulImage::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, 0, "sampleCommon::getDevices() failed");
//Set device info of given cl_device_id
retValue = deviceInfo.setDeviceInfo(devices[deviceId]);
CHECK_ERROR(retValue, SDK_SUCCESS, "deviceInfo.setDeviceInfo. failed");
{
// 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[deviceId],
prop,
&status);
CHECK_ERROR(retValue, SDK_SUCCESS, "clCreateCommandQueue. failed");
}
cl_image_format imageFormat;
imageFormat.image_channel_data_type = CL_FLOAT;
imageFormat.image_channel_order = CL_RGBA;
if(!deviceInfo.imageSupport)
{
std::cout << "Expected Error: Image is not supported on the Device" << std::endl;
return SDK_EXPECTED_FAILURE;
}
cl_image_desc imageDesc;
memset(&imageDesc, '\0', sizeof(cl_image_desc));
imageDesc.image_type = CL_MEM_OBJECT_IMAGE2D;
// Create image for matrix A
imageDesc.image_width = width0 / 4;
imageDesc.image_height = height0;
inputBuffer0 = clCreateImage(context,
CL_MEM_READ_ONLY | CL_MEM_USE_HOST_PTR,
&imageFormat,
&imageDesc,
input0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateImage failed. (inputBuffer0)");
// Create image for matrix B
imageDesc.image_width = width1 / 4;
imageDesc.image_height = height1;
inputBuffer1 = clCreateImage(context,
CL_MEM_READ_ONLY | CL_MEM_USE_HOST_PTR,
&imageFormat,
&imageDesc,
input1,
&status);
CHECK_OPENCL_ERROR(status, "clCreateImage failed. (inputBuffer1)");
// Create image for matrix C
imageDesc.image_width = width1 / 4;
imageDesc.image_height = height0;
outputBuffer = clCreateImage(context,
CL_MEM_WRITE_ONLY,
&imageFormat,
&imageDesc,
0,
&status);
CHECK_OPENCL_ERROR(status, "clCreateImage failed. (outputBuffer)");
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("MatrixMulImage_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::buildOpenCLProgram() failed");
kernel = clCreateKernel(program, "mmmKernel3", &status);
CHECK_OPENCL_ERROR(status, "clCreateKernel failed.(kernel)");
return SDK_SUCCESS;
}
int
EigenValue::setupCL(void)
{
cl_int status = 0;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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 = sampleCommon->getPlatform(platform, platformId, isPlatformEnabled());
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::getPlatform() failed");
// Display available devices.
retValue = sampleCommon->displayDevices(platform, dType);
CHECK_ERROR(retValue, SDK_SUCCESS, "sampleCommon::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 = sampleCommon->getDevices(context, &devices, deviceId, isDeviceIdEnabled());
CHECK_ERROR(status, 0, "sampleCommon::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[deviceId],
prop,
&status);
CHECK_OPENCL_ERROR(status, "clCreateCommandQueue failed.");
}
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if(isAmdPlatform())
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
// cl mem to store the diagonal elements of the matrix
diagonalBuffer = clCreateBuffer(
context,
inMemFlags,
sizeof(cl_float) * length,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (diagonalBuffer)");
// cl mem to store the number of eigenvalues in each interval
numEigenValuesIntervalBuffer = clCreateBuffer(
context,
CL_MEM_READ_WRITE | CL_MEM_ALLOC_HOST_PTR,
sizeof(cl_uint) * length,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (diagonalBuffer)");
// cl mem to store the offDiagonal elements of the matrix
offDiagonalBuffer = clCreateBuffer(
context,
inMemFlags,
sizeof(cl_float) * (length-1),
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (offDiagonalBuffer)");
// cl mem to store the eigenvalue intervals
for(int i = 0 ; i < 2 ; ++ i)
{
eigenIntervalBuffer[i] = clCreateBuffer(
context,
CL_MEM_READ_WRITE | CL_MEM_ALLOC_HOST_PTR,
sizeof(cl_uint) * length * 2,
NULL,
&status);
CHECK_OPENCL_ERROR(status, "clCreateBuffer failed. (eigenIntervalBuffer)");
}
// create a CL program using the kernel source
streamsdk::buildProgramData buildData;
buildData.kernelName = std::string("EigenValue_Kernels.cl");
buildData.devices = devices;
buildData.deviceId = deviceId;
buildData.flagsStr = std::string("-x clc++");
if(isLoadBinaryEnabled())
buildData.binaryName = std::string(loadBinary.c_str());
if(isComplierFlagsSpecified())
buildData.flagsFileName = std::string(flags.c_str());
retValue = sampleCommon->buildOpenCLProgram(program, context, buildData);
CHECK_ERROR(retValue, 0, "sampleCommon::buildOpenCLProgram() failed");
// get a kernel object handle for a kernel with the given name
kernel[0] = clCreateKernel(program, "calNumEigenValueInterval", &status);
if(sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateKernel failed."))
return SDK_FAILURE;
// get a kernel object handle for a kernel with the given name
kernel[1] = clCreateKernel(program, "recalculateEigenIntervals", &status);
if(sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateKernel failed."))
return SDK_FAILURE;
return SDK_SUCCESS;
}
int
NBody::setupCL()
{
cl_int status = CL_SUCCESS;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(isThereGPU() == false)
{
std::cout << "GPU not found. Falling back to CPU device" << std::endl;
dType = CL_DEVICE_TYPE_CPU;
}
}
//Exit if deviceId option is used
if(isDeviceIdEnabled())
{
sampleCommon->expectedError("-d(--deviceId) is not a supported");
return SDK_EXPECTED_FAILURE;
}
/*
* Have a look at the available platforms and pick either
* the AMD one if available or a reasonable default.
*/
cl_uint numPlatforms;
cl_platform_id platform = NULL;
status = clGetPlatformIDs(0, NULL, &numPlatforms);
if(!sampleCommon->checkVal(status,
CL_SUCCESS,
"clGetPlatformIDs failed."))
{
return SDK_FAILURE;
}
if (0 < numPlatforms)
{
cl_platform_id* platforms = new cl_platform_id[numPlatforms];
status = clGetPlatformIDs(numPlatforms, platforms, NULL);
if(!sampleCommon->checkVal(status,
CL_SUCCESS,
"clGetPlatformIDs failed."))
{
return SDK_FAILURE;
}
if(isPlatformEnabled())
{
platform = platforms[platformId];
}
else
{
for (unsigned i = 0; i < numPlatforms; ++i)
{
char pbuf[100];
status = clGetPlatformInfo(platforms[i],
CL_PLATFORM_VENDOR,
sizeof(pbuf),
pbuf,
NULL);
if(!sampleCommon->checkVal(status,
CL_SUCCESS,
"clGetPlatformInfo failed."))
{
return SDK_FAILURE;
}
platform = platforms[i];
if (!strcmp(pbuf, "Advanced Micro Devices, Inc."))
{
break;
}
}
}
delete[] platforms;
}
if(NULL == platform)
{
sampleCommon->error("NULL platform found so Exiting Application.");
return SDK_FAILURE;
}
// Display available devices.
if(!sampleCommon->displayDevices(platform, dType))
{
sampleCommon->error("sampleCommon::displayDevices() failed");
return SDK_FAILURE;
}
/*
* 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(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateContextFromType failed."))
{
return SDK_FAILURE;
}
size_t deviceListSize;
/* First, get the size of device list data */
status = clGetContextInfo(
context,
CL_CONTEXT_DEVICES,
0,
NULL,
&deviceListSize);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clGetContextInfo failed."))
return SDK_FAILURE;
int deviceCount = (int)(deviceListSize / sizeof(cl_device_id));
if(!sampleCommon->validateDeviceId(deviceId, deviceCount))
{
sampleCommon->error("sampleCommon::validateDeviceId() failed");
return SDK_FAILURE;
}
/* Now allocate memory for device list based on the size we got earlier */
devices = (cl_device_id*)malloc(deviceListSize);
if(devices == NULL)
{
sampleCommon->error("Failed to allocate memory (devices).");
return SDK_FAILURE;
}
/* Now, get the device list data */
status = clGetContextInfo(
context,
CL_CONTEXT_DEVICES,
deviceListSize,
devices,
NULL);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clGetContextInfo failed."))
return SDK_FAILURE;
/* Create command queue */
commandQueue = clCreateCommandQueue(
context,
devices[deviceId],
0,
&status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateCommandQueue failed."))
{
return SDK_FAILURE;
}
/* Get Device specific Information */
status = clGetDeviceInfo(
devices[deviceId],
CL_DEVICE_MAX_WORK_GROUP_SIZE,
sizeof(size_t),
(void*)&maxWorkGroupSize,
NULL);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clGetDeviceInfo CL_DEVICE_MAX_WORK_GROUP_SIZE failed."))
return SDK_FAILURE;
status = clGetDeviceInfo(
devices[deviceId],
CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS,
sizeof(cl_uint),
(void*)&maxDimensions,
NULL);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clGetDeviceInfo CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS failed."))
return SDK_FAILURE;
maxWorkItemSizes = (size_t*)malloc(maxDimensions * sizeof(size_t));
status = clGetDeviceInfo(
devices[deviceId],
CL_DEVICE_MAX_WORK_ITEM_SIZES,
sizeof(size_t) * maxDimensions,
(void*)maxWorkItemSizes,
NULL);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clGetDeviceInfo CL_DEVICE_MAX_WORK_ITEM_SIZES failed."))
return SDK_FAILURE;
status = clGetDeviceInfo(
devices[deviceId],
CL_DEVICE_LOCAL_MEM_SIZE,
sizeof(cl_ulong),
(void *)&totalLocalMemory,
NULL);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clGetDeviceInfo CL_DEVICE_LOCAL_MEM_SIZE failed."))
return SDK_FAILURE;
/*
* Create and initialize memory objects
*/
/* Create memory objects for position */
currPos = clCreateBuffer(
context,
CL_MEM_READ_WRITE,
numBodies * sizeof(cl_float4),
0,
&status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateBuffer failed. (oldPos)"))
{
return SDK_FAILURE;
}
/* Initialize position buffer */
status = clEnqueueWriteBuffer(commandQueue,
currPos,
1,
0,
numBodies * sizeof(cl_float4),
pos,
0,
0,
0);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clEnqueueWriteBuffer failed. (oldPos)"))
{
return SDK_FAILURE;
}
/* Create memory objects for position */
newPos = clCreateBuffer(
context,
CL_MEM_READ_WRITE,
numBodies * sizeof(cl_float4),
0,
&status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateBuffer failed. (newPos)"))
{
return SDK_FAILURE;
}
/* Create memory objects for velocity */
currVel = clCreateBuffer(
context,
CL_MEM_READ_WRITE,
numBodies * sizeof(cl_float4),
0,
&status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateBuffer failed. (oldVel)"))
{
return SDK_FAILURE;
}
/* Initialize velocity buffer */
status = clEnqueueWriteBuffer(commandQueue,
currVel,
1,
0,
numBodies * sizeof(cl_float4),
vel,
0,
0,
0);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clEnqueueWriteBuffer failed. (oldVel)"))
{
return SDK_FAILURE;
}
/* Create memory objects for velocity */
newVel = clCreateBuffer(
context,
CL_MEM_READ_ONLY,
numBodies * sizeof(cl_float4),
0,
&status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateBuffer failed. (newVel)"))
{
return SDK_FAILURE;
}
/* create a CL program using the kernel source */
streamsdk::SDKFile kernelFile;
std::string kernelPath = sampleCommon->getPath();
if(isLoadBinaryEnabled())
{
kernelPath.append(loadBinary.c_str());
if(!kernelFile.readBinaryFromFile(kernelPath.c_str()))
{
std::cout << "Failed to load kernel file : " << kernelPath << std::endl;
return SDK_FAILURE;
}
const char * binary = kernelFile.source().c_str();
size_t binarySize = kernelFile.source().size();
program = clCreateProgramWithBinary(context,
1,
&devices[deviceId],
(const size_t *)&binarySize,
(const unsigned char**)&binary,
NULL,
&status);
if(!sampleCommon->checkVal(status,
CL_SUCCESS,
"clCreateProgramWithBinary failed."))
{
return SDK_FAILURE;
}
}
else
{
// special case for packetized OpenCL (can not yet compile .cl directly)
char vName[100];
status = clGetPlatformInfo(platform,
CL_PLATFORM_VENDOR,
sizeof(vName),
vName,
NULL);
const bool platformIsPacketizedOpenCL = !strcmp(vName, "Ralf Karrenberg, Saarland University");
if (!strcmp(vName, "Intel(R) Corporation")) {
vendorName = "intel";
} else if (!strcmp(vName, "Advanced Micro Devices, Inc.")) {
vendorName = "amd";
} else if (platformIsPacketizedOpenCL) {
vendorName = "pkt";
} else {
printf("ERROR: vendor not recognized: %s\n", vName);
}
kernelPath.append("NBody_Kernels.cl");
if(!kernelFile.open(kernelPath.c_str()))
{
std::cout << "Failed to load kernel file : " << kernelPath << std::endl;
return SDK_FAILURE;
}
const char * source = kernelFile.source().c_str();
size_t sourceSize[] = { strlen(source) };
program = clCreateProgramWithSource(context,
1,
&source,
sourceSize,
&status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateProgramWithSource failed."))
return SDK_FAILURE;
}
std::string flagsStr = std::string("");
// Get additional options
if(isComplierFlagsSpecified())
{
streamsdk::SDKFile flagsFile;
std::string flagsPath = sampleCommon->getPath();
flagsPath.append(flags.c_str());
if(!flagsFile.open(flagsPath.c_str()))
{
std::cout << "Failed to load flags file: " << flagsPath << std::endl;
return SDK_FAILURE;
}
flagsFile.replaceNewlineWithSpaces();
const char * flags = flagsFile.source().c_str();
flagsStr.append(flags);
}
if(flagsStr.size() != 0)
std::cout << "Build Options are : " << flagsStr.c_str() << std::endl;
/* create a cl program executable for all the devices specified */
status = clBuildProgram(program,
1,
&devices[deviceId],
flagsStr.c_str(),
NULL,
NULL);
if(status != CL_SUCCESS)
{
if(status == CL_BUILD_PROGRAM_FAILURE)
{
cl_int logStatus;
char * buildLog = NULL;
size_t buildLogSize = 0;
logStatus = clGetProgramBuildInfo (program,
devices[deviceId],
CL_PROGRAM_BUILD_LOG,
buildLogSize,
buildLog,
&buildLogSize);
if(!sampleCommon->checkVal(
logStatus,
CL_SUCCESS,
"clGetProgramBuildInfo failed."))
return SDK_FAILURE;
buildLog = (char*)malloc(buildLogSize);
if(buildLog == NULL)
{
sampleCommon->error("Failed to allocate host memory. (buildLog)");
return SDK_FAILURE;
}
memset(buildLog, 0, buildLogSize);
logStatus = clGetProgramBuildInfo (program,
devices[deviceId],
CL_PROGRAM_BUILD_LOG,
buildLogSize,
buildLog,
NULL);
if(!sampleCommon->checkVal(
logStatus,
CL_SUCCESS,
"clGetProgramBuildInfo failed."))
{
free(buildLog);
return SDK_FAILURE;
}
std::cout << " \n\t\t\tBUILD LOG\n";
std::cout << " ************************************************\n";
std::cout << buildLog << std::endl;
std::cout << " ************************************************\n";
free(buildLog);
}
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clBuildProgram failed."))
return SDK_FAILURE;
}
/* get a kernel object handle for a kernel with the given name */
kernel = clCreateKernel(
program,
"nbody_sim",
&status);
if(!sampleCommon->checkVal(
status,
CL_SUCCESS,
"clCreateKernel failed."))
{
return SDK_FAILURE;
}
return SDK_SUCCESS;
}
int
HDRToneMapping::setupCL()
{
cl_int err = CL_SUCCESS;
cl_device_type dType;
if(deviceType.compare("cpu") == 0)
{
dType = CL_DEVICE_TYPE_CPU;
}
else //deviceType = "gpu"
{
dType = CL_DEVICE_TYPE_GPU;
if(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.
*/
err = cl::Platform::get(&platforms);
CHECK_OPENCL_ERROR(err, "Platform::get() failed.");
std::vector<cl::Platform>::iterator i;
if(platforms.size() > 0)
{
if(isPlatformEnabled())
{
i = platforms.begin() + platformId;
}
else
{
for(i = platforms.begin(); i != platforms.end(); ++i)
{
if(!strcmp((*i).getInfo<CL_PLATFORM_VENDOR>().c_str(),
"Advanced Micro Devices, Inc."))
{
break;
}
}
}
}
cl_context_properties cps[3] =
{
CL_CONTEXT_PLATFORM,
(cl_context_properties)(*i)(),
0
};
context = cl::Context(dType, cps, NULL, NULL, &err);
CHECK_OPENCL_ERROR(err, "Context::Context() failed.");
devices = context.getInfo<CL_CONTEXT_DEVICES>();
CHECK_OPENCL_ERROR(err, "Context::getInfo() failed.");
std::cout << "Platform :" << (*i).getInfo<CL_PLATFORM_VENDOR>().c_str() << "\n";
int deviceCount = (int)devices.size();
int j = 0;
for (std::vector<cl::Device>::iterator i = devices.begin(); i != devices.end(); ++i, ++j)
{
std::cout << "Device " << j << " : ";
std::string deviceName = (*i).getInfo<CL_DEVICE_NAME>();
std::cout << deviceName.c_str() << "\n";
}
std::cout << "\n";
if (deviceCount == 0)
{
std::cout << "No device available\n";
return SDK_FAILURE;
}
if(sampleCommon->validateDeviceId(deviceId, deviceCount) != SDK_SUCCESS)
{
std::cout << "sampleCommon::validateDeviceId() failed";
return SDK_FAILURE;
}
// Get Device specific Information
err = devices[deviceId].getInfo<size_t>(
CL_DEVICE_MAX_WORK_GROUP_SIZE,
&maxWorkGroupSize);
CHECK_OPENCL_ERROR(err, "Device::getInfo(CL_DEVICE_MAX_WORK_GROUP_SIZE) failed.");
err = devices[deviceId].getInfo<cl_uint>(
CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS,
&maxDimensions);
CHECK_OPENCL_ERROR(err, "Device::getInfo(CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS) failed.");
maxWorkItemSizes = (size_t*)malloc(maxDimensions * sizeof(size_t));
std::vector<size_t> workItems = devices[deviceId].getInfo<CL_DEVICE_MAX_WORK_ITEM_SIZES>();
for(cl_uint i = 0; i < maxDimensions; ++i)
maxWorkItemSizes[i] = workItems[i];
err = devices[deviceId].getInfo<cl_ulong>(
CL_DEVICE_LOCAL_MEM_SIZE,
&totalLocalMemory);
CHECK_OPENCL_ERROR(err, "Device::getInfo(CL_DEVICE_LOCAL_MEM_SIZES) failed.");
commandQueue = cl::CommandQueue(context, devices[deviceId], 0, &err);
CHECK_OPENCL_ERROR(err, "CommandQueue::CommandQueue() failed.");
/*
* Create and initialize memory objects
*/
// Set Presistent memory only for AMD platform
cl_mem_flags inMemFlags = CL_MEM_READ_ONLY;
if(isAmdPlatform())
inMemFlags |= CL_MEM_USE_PERSISTENT_MEM_AMD;
// Create memory object for input Image
/**
* We use CL_MEM_USE_HOST_PTR for CPU as the CPU device is running the kernel
* on the actual buffer provided by the application
*/
if (dType == CL_DEVICE_TYPE_CPU)
{
inputImageBuffer = cl::Buffer(context,
CL_MEM_USE_HOST_PTR | CL_MEM_READ_ONLY,
width * height * numChannels * sizeof(cl_float),
input,
&err);
CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (inputImageBuffer)");
// Create memory object for output Image
outputImageBuffer = cl::Buffer(context,
CL_MEM_WRITE_ONLY | CL_MEM_USE_HOST_PTR,
width * height * numChannels * sizeof(cl_float),
output,
&err);
CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (outputImageBuffer)");
}
else if (dType == CL_DEVICE_TYPE_GPU)
{
inputImageBuffer = cl::Buffer(context,
inMemFlags,
width * height * numChannels * sizeof(cl_float),
0,
&err);
CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (inputImageBuffer)");
// Create memory object for output Image
outputImageBuffer = cl::Buffer(context,
CL_MEM_WRITE_ONLY,
width * height * numChannels * sizeof(cl_float),
NULL,
&err);
CHECK_OPENCL_ERROR(err, "Buffer::Buffer() failed. (outputImageBuffer)");
}
device.push_back(devices[deviceId]);
// create a CL program using the kernel source
streamsdk::SDKFile kernelFile;
std::string kernelPath = sampleCommon->getPath();
if(isLoadBinaryEnabled())
{
kernelPath.append(loadBinary.c_str());
if(kernelFile.readBinaryFromFile(kernelPath.c_str()))
{
std::cout << "Failed to load kernel file : " << kernelPath << std::endl;
return SDK_FAILURE;
}
cl::Program::Binaries programBinary(1,std::make_pair(
(const void*)kernelFile.source().data(),
kernelFile.source().size()));
program = cl::Program(context, device, programBinary, NULL, &err);
CHECK_OPENCL_ERROR(err, "Program::Program(Binary) failed.");
}
else
{
kernelPath.append("HDRToneMapping_Kernels.cl");
if(!kernelFile.open(kernelPath.c_str()))
{
std::cout << "Failed to load kernel file : " << kernelPath << std::endl;
return SDK_FAILURE;
}
cl::Program::Sources programSource(1,
std::make_pair(kernelFile.source().data(),
kernelFile.source().size()));
program = cl::Program(context, programSource, &err);
CHECK_OPENCL_ERROR(err, "Program::Program(Source) failed.");
}
std::string flagsStr = std::string("");
// Get additional options
if(isComplierFlagsSpecified())
{
streamsdk::SDKFile flagsFile;
std::string flagsPath = sampleCommon->getPath();
flagsPath.append(flags.c_str());
if(!flagsFile.open(flagsPath.c_str()))
{
std::cout << "Failed to load flags file: " << flagsPath << std::endl;
return SDK_FAILURE;
}
flagsFile.replaceNewlineWithSpaces();
const char * flags = flagsFile.source().c_str();
flagsStr.append(flags);
}
if(flagsStr.size() != 0)
std::cout << "Build Options are : " << flagsStr.c_str() << std::endl;
err = program.build(device, flagsStr.c_str());
if(err != CL_SUCCESS)
{
if(err == CL_BUILD_PROGRAM_FAILURE)
{
std::string str = program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(devices[deviceId]);
std::cout << " \n\t\t\tBUILD LOG\n";
std::cout << " ************************************************\n";
std::cout << str << std::endl;
std::cout << " ************************************************\n";
}
}
CHECK_OPENCL_ERROR(err, "Program::build() failed.");
// Create kernel
kernel = cl::Kernel(program, "toneMappingPattanaik", &err);
CHECK_OPENCL_ERROR(err, "Kernel::Kernel() failed.");
// Check group size against group size returned by kernel
kernelWorkGroupSize = kernel.getWorkGroupInfo<CL_KERNEL_WORK_GROUP_SIZE>(devices[deviceId], &err);
CHECK_OPENCL_ERROR(err, "Kernel::getWorkGroupInfo() failed.");
/**
* For CPU device the kernel work group size is 1024.
* Workgroup creation/replacement is an overhead -
* avoid workgroups with small number of workitems (we pay more for replacing a WG than running more WI in a for loop).
*/
if (kernelWorkGroupSize >= 1024)
{
blockSizeX = 32;
blockSizeY = 32;
}
if((cl_uint)(blockSizeX * blockSizeY) > kernelWorkGroupSize)
{
if(kernelWorkGroupSize >= 64)
{
blockSizeX = 8;
blockSizeY = 8;
}
else if(kernelWorkGroupSize >= 32)
{
blockSizeX = 4;
blockSizeY = 4;
}
else
{
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 : "
<< kernelWorkGroupSize<<std::endl;
return SDK_FAILURE;
}
}
if(blockSizeX > maxWorkItemSizes[0] ||
blockSizeY > maxWorkItemSizes[1] ||
blockSizeX * blockSizeY > maxWorkGroupSize)
{
std::cout << "Unsupported: Device does not support requested number of work items." << std::endl;
return SDK_FAILURE;
}
return SDK_SUCCESS;
}