// Helper to trigger reset of fps vars at transition
//*****************************************************************************
void TriggerFPSUpdate()
{
iFrameCount = 0;
iFramesPerSec = 1;
iFrameTrigger = 2;
shrDeltaT(1);
shrDeltaT(0);
dProcessingTime = 0.0;
}
///////////////////////////////////////////////////////////////////////////////
// test the bandwidth of a device to host memcopy of a specific size
///////////////////////////////////////////////////////////////////////////////
double testDeviceToDeviceTransfer(unsigned int memSize)
{
double elapsedTimeInSec = 0.0;
double bandwidthInMBs = 0.0;
unsigned char* h_idata = NULL;
cl_int ciErrNum = CL_SUCCESS;
//allocate host memory
h_idata = (unsigned char *)malloc( memSize );
//initialize the memory
for(unsigned int i = 0; i < memSize/sizeof(unsigned char); i++)
{
h_idata[i] = (unsigned char) (i & 0xff);
}
// allocate device input and output memory and initialize the device input memory
cl_mem d_idata = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, memSize, NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
cl_mem d_odata = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, memSize, NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
ciErrNum = clEnqueueWriteBuffer(cqCommandQueue, d_idata, CL_TRUE, 0, memSize, h_idata, 0, NULL, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
// Sync queue to host, start timer 0, and copy data from one GPU buffer to another GPU bufffer
clFinish(cqCommandQueue);
shrDeltaT(0);
for(unsigned int i = 0; i < MEMCOPY_ITERATIONS; i++)
{
ciErrNum = clEnqueueCopyBuffer(cqCommandQueue, d_idata, d_odata, 0, 0, memSize, 0, NULL, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
}
// Sync with GPU
clFinish(cqCommandQueue);
//get the the elapsed time in seconds
elapsedTimeInSec = shrDeltaT(0);
// Calculate bandwidth in MB/s
// This is for kernels that read and write GMEM simultaneously
// Obtained Throughput for unidirectional block copies will be 1/2 of this #
bandwidthInMBs = 2.0 * ((double)memSize * (double)MEMCOPY_ITERATIONS)/(elapsedTimeInSec * (double)(1 << 20));
//clean up memory on host and device
free(h_idata);
clReleaseMemObject(d_idata);
clReleaseMemObject(d_odata);
return bandwidthInMBs;
}
// Helper to trigger reset of fps vars at transition
//*****************************************************************************
void TriggerFPSUpdate()
{
iFrameCount = 0;
shrDeltaT(1);
iFramesPerSec = 1;
iFrameTrigger = 2;
}
// Kernel function
//*****************************************************************************
int executeKernel(cl_int radius)
{
// set global and local work item dimensions
szLocalWorkSize[0] = 16;
szLocalWorkSize[1] = 16;
szGlobalWorkSize[0] = shrRoundUp((int)szLocalWorkSize[0], image_width);
szGlobalWorkSize[1] = shrRoundUp((int)szLocalWorkSize[1], image_height);
// set the args values
cl_int tilew = (cl_int)szLocalWorkSize[0]+(2*radius);
ciErrNum = clSetKernelArg(ckKernel, 4, sizeof(tilew), &tilew);
ciErrNum |= clSetKernelArg(ckKernel, 5, sizeof(radius), &radius);
cl_float threshold = 0.8f;
ciErrNum |= clSetKernelArg(ckKernel, 6, sizeof(threshold), &threshold);
cl_float highlight = 4.0f;
ciErrNum |= clSetKernelArg(ckKernel, 7, sizeof(highlight), &highlight);
// Local memory
ciErrNum |= clSetKernelArg(ckKernel, 8, (szLocalWorkSize[0]+(2*16))*(szLocalWorkSize[1]+(2*16))*sizeof(int), NULL);
// launch computation kernel
#ifdef GPU_PROFILING
int nIter = 30;
for( int i=-1; i< nIter; ++i) {
if( i ==0 )
shrDeltaT(0);
#endif
ciErrNum |= clEnqueueNDRangeKernel(cqCommandQueue, ckKernel, 2, NULL,
szGlobalWorkSize, szLocalWorkSize,
0, NULL, NULL);
#ifdef GPU_PROFILING
}
clFinish(cqCommandQueue);
double dSeconds = shrDeltaT(0)/(double)nIter;
double dNumTexels = (double)image_width * (double)image_height;
double mtexps = 1.0e-6 * dNumTexels/dSeconds;
shrLogEx(LOGBOTH | MASTER, 0, "oclPostprocessGL, Throughput = %.4f MTexels/s, Time = %.5f s, Size = %.0f Texels, NumDevsUsed = %u, Workgroup = %u\n",
mtexps, dSeconds, dNumTexels, uiNumDevsUsed, szLocalWorkSize[0] * szLocalWorkSize[1]);
#endif
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
return 0;
}
// Run a test sequence without any GL
//*****************************************************************************
void TestNoGL()
{
// Warmup call to assure OpenCL driver is awake
// note this function has a finish for all queues at its end, so no further host sync is needed
SobelFilterGPU (uiInput, uiOutput);
// Start timer 0 and process n loops on the GPU
const int iCycles = 150;
dProcessingTime = 0.0;
shrLog("\nRunning SobelFilterGPU for %d cycles...\n\n", iCycles);
shrDeltaT(2);
for (int i = 0; i < iCycles; i++)
{
// note this function has a finish for all queues at its end, so no further host sync is needed
dProcessingTime += SobelFilterGPU (uiInput, uiOutput);
}
// Get round-trip and average computation time
double dRoundtripTime = shrDeltaT(2)/(double)iCycles;
dProcessingTime /= (double)iCycles;
// log throughput, timing and config info to sample and master logs
shrLogEx(LOGBOTH | MASTER, 0, "oclSobelFilter, Throughput = %.4f M RGB Pixels/s, Time = %.5f s, Size = %u RGB Pixels, NumDevsUsed = %u, Workgroup = %u\n",
(1.0e-6 * uiImageWidth * uiImageHeight)/dProcessingTime, dProcessingTime, (uiImageWidth * uiImageHeight), GpuDevMngr->uiUsefulDevCt, szLocalWorkSize[0] * szLocalWorkSize[1]);
shrLog("\nRoundTrip Time = %.5f s, Equivalent FPS = %.1f\n\n", dRoundtripTime, 1.0/dRoundtripTime);
// Compute on host
cl_uint* uiGolden = (cl_uint*)malloc(szBuffBytes);
SobelFilterHost(uiInput, uiGolden, uiImageWidth, uiImageHeight, fThresh);
// Compare GPU and Host results: Allow variance of 1 GV in up to 0.01% of pixels
shrLog("Comparing GPU Result to CPU Result...\n");
shrBOOL bMatch = shrCompareuit(uiGolden, uiOutput, (uiImageWidth * uiImageHeight), 1.0f, 0.0001f);
shrLog("\nGPU Result %s CPU Result within tolerance...\n", (bMatch == shrTRUE) ? "matches" : "DOESN'T match");
// Cleanup and exit
free(uiGolden);
Cleanup((bMatch == shrTRUE) ? EXIT_SUCCESS : EXIT_FAILURE);
}
int genTimer(int timerID)
{
#ifdef NV
shrDeltaT(timerID);
return timerID;
#else
int timer = sampleCommon->createTimer();
sampleCommon->resetTimer(timer);
sampleCommon->startTimer(timer);
return timer;
#endif
}
// QATest sequence without any GL calls
//*****************************************************************************
void TestNoGL()
{
// Warmup call to assure OpenCL driver is awake
psystem->update(timestep);
// Start timer 0 and process n loops on the GPU
const int iCycles = 20;
shrDeltaT(0);
for (int i = 0; i < iCycles; i++)
{
psystem->update(timestep);
}
// Get elapsed time and throughput, then log to sample and master logs
double dAvgTime = shrDeltaT(0)/(double)iCycles;
shrLogEx(LOGBOTH | MASTER, 0, "oclParticles, Throughput = %.4f KParticles/s, Time = %.5f s, Size = %u particles, NumDevsUsed = %u, Workgroup = %u\n",
(1.0e-3 * numParticles)/dAvgTime, dAvgTime, numParticles, 1, 0);
// Cleanup and exit
shrQAFinish2(true, *pArgc, (const char **)pArgv, QA_PASSED);
Cleanup (EXIT_SUCCESS);
}
void RunProfiling(int iterations, unsigned int uiWorkgroup)
{
// once without timing to prime the GPU
nbody->update(activeParams.m_timestep);
nbody->synchronizeThreads();
// Start timer 0 and process n loops on the GPU
shrDeltaT(FUNCTIME);
for (int i = 0; i < iterations; ++i)
{
nbody->update(activeParams.m_timestep);
}
nbody->synchronizeThreads();
// Get elapsed time and throughput, then log to sample and master logs
double dSeconds = shrDeltaT(FUNCTIME);
double dGigaInteractionsPerSecond = 0.0;
double dGigaFlops = 0.0;
ComputePerfStats(dGigaInteractionsPerSecond, dGigaFlops, dSeconds, iterations);
shrLogEx(LOGBOTH | MASTER, 0, "oclNBody-%s, Throughput = %.4f GFLOP/s, Time = %.5f s, Size = %u bodies, NumDevsUsed = %u, Workgroup = %u\n",
(bDouble ? "DP" : "SP"), dGigaFlops, dSeconds/(double)iterations, numBodies, uiNumDevsUsed, uiWorkgroup);
}
//*****************************************************************************
void SelectDemo(int index)
{
oclCheckErrorEX((index < numDemos), shrTRUE, pCleanup);
activeParams = demoParams[index];
camera_trans[0] = camera_trans_lag[0] = activeParams.m_x;
camera_trans[1] = camera_trans_lag[1] = activeParams.m_y;
camera_trans[2] = camera_trans_lag[2] = activeParams.m_z;
ResetSim(nbody, numBodies, NBODY_CONFIG_SHELL, true);
//Rest the demo timer
shrDeltaT(DEMOTIME);
}
double getTimerNoSync(int timer)
{
//clFinish(cqCommandQueue);
#ifdef NV
double elapsedTimeInSec = shrDeltaT(timer);
return elapsedTimeInSec;
#else
sampleCommon->stopTimer(timer);
double writeTime = (double)(sampleCommon->readTimer(timer));
sampleCommon->resetTimer(timer);
sampleCommon->startTimer(timer);
return writeTime;
#endif
}
////////////////////////////////////////////////////////////////////////////////
//! Run a simple benchmark test for CUDA
////////////////////////////////////////////////////////////////////////////////
void
runBenchmark( int argc, char **argv )
{
int devID = 0;
shrLog("[runBenchmark]: [%s]\n", sSDKsample);
devID = cutilChooseCudaDevice(argc, argv);
loadImageData(argc, argv);
initCuda();
g_CheckRender = new CheckBackBuffer(width, height, 4, false);
g_CheckRender->setExecPath(argv[0]);
unsigned int *d_result;
cutilSafeCall( cudaMalloc( (void **)&d_result, width*height*sizeof(unsigned int)) );
// warm-up
boxFilterRGBA(d_img, d_temp, d_temp, width, height, filter_radius, iterations, nthreads);
cutilSafeCall( cutilDeviceSynchronize() );
// Start round-trip timer and process iCycles loops on the GPU
iterations = 1; // standard 1-pass filtering
const int iCycles = 150;
double dProcessingTime = 0.0;
shrLog("\nRunning BoxFilterGPU for %d cycles...\n\n", iCycles);
shrDeltaT(2);
for (int i = 0; i < iCycles; i++)
{
dProcessingTime += boxFilterRGBA(d_img, d_temp, d_img, width, height, filter_radius, iterations, nthreads);
}
// check if kernel execution generated an error and sync host
cutilCheckMsg("Error: boxFilterRGBA Kernel execution FAILED");
cutilSafeCall(cutilDeviceSynchronize());
// Get average computation time
dProcessingTime /= (double)iCycles;
// log testname, throughput, timing and config info to sample and master logs
shrLogEx(LOGBOTH | MASTER, 0, "boxFilter-texture, Throughput = %.4f M RGBA Pixels/s, Time = %.5f s, Size = %u RGBA Pixels, NumDevsUsed = %u, Workgroup = %u\n",
(1.0e-6 * width * height)/dProcessingTime, dProcessingTime,
(width * height), 1, nthreads);
shrLog("\n");
}
double getTimer(int timer)
{
/*With Kernel Scheduler*/
// cl_int err1=clFinish(CommandQueue[0]);
// cl_int err2=clFinish(CommandQueue[1]);
// printf("getTimer calls finish commandqueue first");
#ifdef NV
double elapsedTimeInSec = shrDeltaT(timer);
return elapsedTimeInSec;
#else
sampleCommon->stopTimer(timer);
double writeTime = (double)(sampleCommon->readTimer(timer));
sampleCommon->resetTimer(timer);
sampleCommon->startTimer(timer);
return writeTime;
#endif
}
int main(int argc, const char **argv)
{
cl_platform_id cpPlatform; // OpenCL platform
cl_uint nDevice; // OpenCL device count
cl_device_id* cdDevices; // OpenCL device list
cl_context cxGPUContext; // OpenCL context
cl_command_queue cqCommandQueue[MAX_GPU_COUNT]; // OpenCL command que
cl_int ciErrNum;
shrSetLogFileName ("oclRadixSort.txt");
shrLog("%s starting...\n\n", argv[0]);
shrLog("clGetPlatformID...\n");
ciErrNum = oclGetPlatformID(&cpPlatform);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
shrLog("clGetDeviceIDs...\n");
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 0, NULL, &nDevice);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
cdDevices = (cl_device_id *)malloc(nDevice * sizeof(cl_device_id) );
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, nDevice, cdDevices, NULL);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
shrLog("clCreateContext...\n");
cxGPUContext = clCreateContext(0, nDevice, cdDevices, NULL, NULL, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
shrLog("Create command queue...\n\n");
int id_device;
if(shrGetCmdLineArgumenti(argc, argv, "device", &id_device)) // Set up command queue(s) for GPU specified on the command line
{
// get & log device index # and name
cl_device_id cdDevice = cdDevices[id_device];
// create a command que
cqCommandQueue[0] = clCreateCommandQueue(cxGPUContext, cdDevice, 0, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
oclPrintDevInfo(LOGBOTH, cdDevice);
nDevice = 1;
}
else
{
// create command queues for all available devices
for (cl_uint i = 0; i < nDevice; i++)
{
cqCommandQueue[i] = clCreateCommandQueue(cxGPUContext, cdDevices[i], 0, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
}
for (cl_uint i = 0; i < nDevice; i++) oclPrintDevInfo(LOGBOTH, cdDevices[i]);
}
int ctaSize;
if (!shrGetCmdLineArgumenti(argc, argv, "work-group-size", &ctaSize))
{
ctaSize = 128;
}
shrLog("Running Radix Sort on %d GPU(s) ...\n\n", nDevice);
unsigned int numElements = 1048576;//128*128*128*2;
// Alloc and init some data on the host, then alloc and init GPU buffer
unsigned int **h_keys = (unsigned int**)malloc(nDevice * sizeof(unsigned int*));
unsigned int **h_keysSorted = (unsigned int**)malloc(nDevice * sizeof(unsigned int*));
cl_mem *d_keys = (cl_mem* )malloc(nDevice * sizeof(cl_mem));
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
h_keys[iDevice] = (unsigned int*)malloc(numElements * sizeof(unsigned int));
h_keysSorted[iDevice] = (unsigned int*)malloc(numElements * sizeof(unsigned int));
makeRandomUintVector(h_keys[iDevice], numElements, keybits);
d_keys[iDevice] = clCreateBuffer(cxGPUContext, CL_MEM_READ_WRITE,
sizeof(unsigned int) * numElements, NULL, &ciErrNum);
ciErrNum |= clEnqueueWriteBuffer(cqCommandQueue[iDevice], d_keys[iDevice], CL_TRUE, 0,
sizeof(unsigned int) * numElements, h_keys[iDevice], 0, NULL, NULL);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
}
// instantiate RadixSort objects
RadixSort **radixSort = (RadixSort**)malloc(nDevice * sizeof(RadixSort*));
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
radixSort[iDevice] = new RadixSort(cxGPUContext, cqCommandQueue[iDevice], numElements, argv[0], ctaSize, true);
}
#ifdef GPU_PROFILING
int numIterations = 30;
for (int i = -1; i < numIterations; i++)
{
if (i == 0)
{
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
clFinish(cqCommandQueue[iDevice]);
}
shrDeltaT(1);
}
#endif
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
radixSort[iDevice]->sort(d_keys[iDevice], 0, numElements, keybits);
}
#ifdef GPU_PROFILING
}
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
clFinish(cqCommandQueue[iDevice]);
}
double gpuTime = shrDeltaT(1)/(double)numIterations;
shrLogEx(LOGBOTH | MASTER, 0, "oclRadixSort, Throughput = %.4f MElements/s, Time = %.5f s, Size = %u elements, NumDevsUsed = %d, Workgroup = %d\n",
(1.0e-6 * (double)(nDevice * numElements)/gpuTime), gpuTime, nDevice * numElements, nDevice, ctaSize);
#endif
// copy sorted keys to CPU
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
clEnqueueReadBuffer(cqCommandQueue[iDevice], d_keys[iDevice], CL_TRUE, 0, sizeof(unsigned int) * numElements,
h_keysSorted[iDevice], 0, NULL, NULL);
}
// Check results
bool passed = true;
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
passed &= verifySortUint(h_keysSorted[iDevice], NULL, h_keys[iDevice], numElements);
}
shrLog("\n%s\n\n", passed ? "PASSED" : "FAILED");
// cleanup allocs
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
clReleaseMemObject(d_keys[iDevice]);
free(h_keys[iDevice]);
free(h_keysSorted[iDevice]);
delete radixSort[iDevice];
}
free(radixSort);
free(h_keys);
free(h_keysSorted);
// remaining cleanup and exit
free(cdDevices);
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
clReleaseCommandQueue(cqCommandQueue[iDevice]);
}
clReleaseContext(cxGPUContext);
shrEXIT(argc, argv);
}
// Main program
//*****************************************************************************
int main(int argc, char** argv)
{
// Locals used with command line args
int p = 256; // workgroup X dimension
int q = 1; // workgroup Y dimension
pArgc = &argc;
pArgv = argv;
shrQAStart(argc, argv);
// latch the executable path for other funcs to use
cExecutablePath = argv[0];
// start logs and show command line help
shrSetLogFileName ("oclNbody.txt");
shrLog("%s Starting...\n\n", cExecutablePath);
shrLog("Command line switches:\n");
shrLog(" --qatest\t\tCheck correctness of GPU execution and measure performance)\n");
shrLog(" --noprompt\t\tQuit simulation automatically after a brief period\n");
shrLog(" --n=<numbodies>\tSpecify # of bodies to simulate (default = %d)\n", numBodies);
shrLog(" --double\t\tUse double precision floating point values for simulation\n");
shrLog(" --p=<workgroup X dim>\tSpecify X dimension of workgroup (default = %d)\n", p);
shrLog(" --q=<workgroup Y dim>\tSpecify Y dimension of workgroup (default = %d)\n\n", q);
// Get command line arguments if there are any and set vars accordingly
if (argc > 0)
{
shrGetCmdLineArgumenti(argc, (const char**)argv, "p", &p);
shrGetCmdLineArgumenti(argc, (const char**)argv, "q", &q);
shrGetCmdLineArgumenti(argc, (const char**)argv, "n", &numBodies);
bDouble = (shrTRUE == shrCheckCmdLineFlag(argc, (const char**)argv, "double"));
bNoPrompt = shrCheckCmdLineFlag(argc, (const char**)argv, "noprompt");
bQATest = shrCheckCmdLineFlag(argc, (const char**)argv, "qatest");
}
//Get the NVIDIA platform
cl_int ciErrNum = oclGetPlatformID(&cpPlatform);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
shrLog("clGetPlatformID...\n\n");
if (bDouble)
{
shrLog("Double precision execution...\n\n");
}
else
{
shrLog("Single precision execution...\n\n");
}
flopsPerInteraction = bDouble ? 30 : 20;
//Get all the devices
shrLog("Get the Device info and select Device...\n");
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 0, NULL, &uiNumDevices);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
cdDevices = (cl_device_id *)malloc(uiNumDevices * sizeof(cl_device_id) );
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, uiNumDevices, cdDevices, NULL);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
// Set target device and Query number of compute units on uiTargetDevice
shrLog(" # of Devices Available = %u\n", uiNumDevices);
if(shrGetCmdLineArgumentu(argc, (const char**)argv, "device", &uiTargetDevice)== shrTRUE)
{
uiTargetDevice = CLAMP(uiTargetDevice, 0, (uiNumDevices - 1));
}
shrLog(" Using Device %u, ", uiTargetDevice);
oclPrintDevName(LOGBOTH, cdDevices[uiTargetDevice]);
cl_uint uiNumComputeUnits;
clGetDeviceInfo(cdDevices[uiTargetDevice], CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(uiNumComputeUnits), &uiNumComputeUnits, NULL);
shrLog(" # of Compute Units = %u\n", uiNumComputeUnits);
//Create the context
shrLog("clCreateContext...\n");
cxContext = clCreateContext(0, uiNumDevsUsed, &cdDevices[uiTargetDevice], NULL, NULL, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
// Create a command-queue
shrLog("clCreateCommandQueue...\n\n");
cqCommandQueue = clCreateCommandQueue(cxContext, cdDevices[uiTargetDevice], CL_QUEUE_PROFILING_ENABLE, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
// Log and config for number of bodies
shrLog("Number of Bodies = %d\n", numBodies);
switch (numBodies)
{
case 1024:
activeParams.m_clusterScale = 1.52f;
activeParams.m_velocityScale = 2.f;
break;
case 2048:
activeParams.m_clusterScale = 1.56f;
activeParams.m_velocityScale = 2.64f;
break;
case 4096:
activeParams.m_clusterScale = 1.68f;
activeParams.m_velocityScale = 2.98f;
break;
case 7680:
case 8192:
activeParams.m_clusterScale = 1.98f;
activeParams.m_velocityScale = 2.9f;
break;
default:
case 15360:
case 16384:
activeParams.m_clusterScale = 1.54f;
activeParams.m_velocityScale = 8.f;
break;
case 30720:
case 32768:
activeParams.m_clusterScale = 1.44f;
activeParams.m_velocityScale = 11.f;
break;
}
if ((q * p) > 256)
{
p = 256 / q;
shrLog("Setting p=%d to maintain %d threads per block\n", p, 256);
}
if ((q == 1) && (numBodies < p))
{
p = numBodies;
shrLog("Setting p=%d because # of bodies < p\n", p);
}
shrLog("Workgroup Dims = (%d x %d)\n\n", p, q);
// Initialize OpenGL items if using GL
if (bQATest == shrFALSE)
{
assert(0);
/*
shrLog("Calling InitGL...\n");
InitGL(&argc, argv);
*/
}
else
{
shrLog("Skipping InitGL...\n");
}
// CL/GL interop disabled
bUsePBO = (false && (bQATest == shrFALSE));
InitNbody(cdDevices[uiTargetDevice], cxContext, cqCommandQueue, numBodies, p, q, bUsePBO, bDouble);
ResetSim(nbody, numBodies, NBODY_CONFIG_SHELL, bUsePBO);
// init timers
shrDeltaT(DEMOTIME); // timer 0 is for timing demo periods
shrDeltaT(FUNCTIME); // timer 1 is for logging function delta t's
shrDeltaT(FPSTIME); // timer 2 is for fps measurement
// Standard simulation
if (bQATest == shrFALSE)
{
assert(0);
/*
shrLog("Running standard oclNbody simulation...\n\n");
glutDisplayFunc(DisplayGL);
glutReshapeFunc(ReshapeGL);
glutMouseFunc(MouseGL);
glutMotionFunc(MotionGL);
glutKeyboardFunc(KeyboardGL);
glutSpecialFunc(SpecialGL);
glutIdleFunc(IdleGL);
glutMainLoop();
*/
}
// Compare to host, profile and write out file for regression analysis
if (bQATest == shrTRUE) {
bool bTestResults = false;
shrLog("Running oclNbody Results Comparison...\n\n");
bTestResults = CompareResults(numBodies);
//shrLog("Profiling oclNbody...\n\n");
//RunProfiling(100, (unsigned int)(p * q)); // 100 iterations
shrQAFinish(argc, (const char **)argv, bTestResults ? QA_PASSED : QA_FAILED);
} else {
// Cleanup/exit
bNoPrompt = shrTRUE;
shrQAFinish2(false, *pArgc, (const char **)pArgv, QA_PASSED);
}
Cleanup(EXIT_SUCCESS);
}
// Primary GLUT callback loop function
//*****************************************************************************
void DisplayGL()
{
// update the simulation, unless paused
double dProcessingTime = 0.0;
if (!bPause)
{
// start timer FUNCTIME if it's update time
if (iFrameCount >= iFrameTrigger)
{
shrDeltaT(FUNCTIME);
}
// Run the simlation computations
nbody->update(activeParams.m_timestep);
nbody->getArray(BodySystem::BODYSYSTEM_POSITION);
// Make graphics work with or without CL/GL interop
if (bUsePBO)
{
renderer->setPBO((unsigned int)nbody->getCurrentReadBuffer(), nbody->getNumBodies());
}
else
{
renderer->setPositions((float*)nbody->getCurrentReadBuffer(), nbody->getNumBodies());
}
// get processing time from timer FUNCTIME, if it's update time
if (iFrameCount >= iFrameTrigger)
{
dProcessingTime = shrDeltaT(FUNCTIME);
}
}
// Redraw main graphics display, if enabled
glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
if (displayEnabled)
{
// view transform
glMatrixMode(GL_MODELVIEW);
glLoadIdentity();
for (int c = 0; c < 3; ++c)
{
camera_trans_lag[c] += (camera_trans[c] - camera_trans_lag[c]) * inertia;
camera_rot_lag[c] += (camera_rot[c] - camera_rot_lag[c]) * inertia;
}
glTranslatef(camera_trans_lag[0], camera_trans_lag[1], camera_trans_lag[2]);
glRotatef(camera_rot_lag[0], 1.0, 0.0, 0.0);
glRotatef(camera_rot_lag[1], 0.0, 1.0, 0.0);
renderer->setSpriteSize(activeParams.m_pointSize);
renderer->display(displayMode);
}
// Display user interface if enabled
if (bShowSliders)
{
glBlendFunc(GL_ONE_MINUS_DST_COLOR, GL_ZERO); // invert color
glEnable(GL_BLEND);
paramlist->Render(0, 0);
glDisable(GL_BLEND);
}
// Flip backbuffer to screen
glutSwapBuffers();
// If frame count has triggerd, increment the frame counter, and do fps stuff
if (iFrameCount++ > iFrameTrigger)
{
// If tour mode is enabled & interval has timed out, switch to next tour/demo mode
dElapsedTime += shrDeltaT(DEMOTIME);
if (bTour && (dElapsedTime > demoTime))
{
dElapsedTime = 0.0;
activeDemo = (activeDemo + 1) % numDemos;
SelectDemo(activeDemo);
}
// get the perf and fps stats
iFramesPerSec = (int)((double)iFrameCount/ shrDeltaT(FPSTIME));
double dGigaInteractionsPerSecond = 0.0;
double dGigaFlops = 0.0;
ComputePerfStats(dGigaInteractionsPerSecond, dGigaFlops, dProcessingTime, 1);
// If not paused, set the display window title, reset trigger and log info
char cTitle[256];
if(!bPause)
{
#ifdef GPU_PROFILING
#ifdef _WIN32
sprintf_s(cTitle,
"OpenCL for GPU Nbody Demo (%d bodies): %i fps | %0.4f BIPS | %0.4f GFLOP/s",
numBodies, iFramesPerSec, dGigaInteractionsPerSecond, dGigaFlops);
#else
sprintf(cTitle,
"OpenCL for GPU Nbody Demo (%d bodies): %i fps | %0.4f BIPS | %0.4f GFLOP/s",
numBodies, iFramesPerSec, dGigaInteractionsPerSecond, dGigaFlops);
#endif
#else
#ifdef _WIN32
sprintf_s(cTitle,
"OpenCL for GPU Nbody Demo (%d bodies)",
numBodies, iFramesPerSec, dGigaInteractionsPerSecond);
#else
sprintf(cTitle,
"OpenCL for GPU Nbody Demo (%d bodies)",
numBodies, iFramesPerSec, dGigaInteractionsPerSecond);
#endif
#endif
#ifndef __EMSCRIPTEN__
glutSetWindowTitle(cTitle);
#else
printf("%s\n",cTitle);
#endif
// Log fps and processing info to console and file
shrLog("%s\n", cTitle);
// if doing quick test, exit
if ((bNoPrompt) && (!--iTestSets))
{
// Cleanup up and quit
shrQAFinish2(false, *pArgc, (const char **)pArgv, QA_PASSED);
Cleanup(EXIT_SUCCESS);
}
// reset the frame counter and adjust trigger
iFrameCount = 0;
iFrameTrigger = (iFramesPerSec > 1) ? iFramesPerSec * 2 : 1;
}
}
#ifndef __EMSCRIPTEN__
glutReportErrors();
#endif
}
////////////////////////////////////////////////////////////////////////////////
// Test driver
////////////////////////////////////////////////////////////////////////////////
int main(int argc, char **argv)
{
cl_platform_id cpPlatform;
cl_device_id cdDevice;
cl_context cxGPUContext; //OpenCL context
cl_command_queue cqCommandQueue; //OpenCL command queue
cl_mem c_Kernel, d_Input, d_Buffer, d_Output; //OpenCL memory buffer objects
cl_float *h_Kernel, *h_Input, *h_Buffer, *h_OutputCPU, *h_OutputGPU;
cl_int ciErrNum;
const unsigned int imageW = 3072;
const unsigned int imageH = 3072;
shrQAStart(argc, argv);
// set logfile name and start logs
shrSetLogFileName ("oclConvolutionSeparable.txt");
shrLog("%s Starting...\n\n", argv[0]);
shrLog("Allocating and initializing host memory...\n");
h_Kernel = (cl_float *)malloc(KERNEL_LENGTH * sizeof(cl_float));
h_Input = (cl_float *)malloc(imageW * imageH * sizeof(cl_float));
h_Buffer = (cl_float *)malloc(imageW * imageH * sizeof(cl_float));
h_OutputCPU = (cl_float *)malloc(imageW * imageH * sizeof(cl_float));
h_OutputGPU = (cl_float *)malloc(imageW * imageH * sizeof(cl_float));
srand(2009);
for(unsigned int i = 0; i < KERNEL_LENGTH; i++)
h_Kernel[i] = (cl_float)(rand() % 16);
for(unsigned int i = 0; i < imageW * imageH; i++)
h_Input[i] = (cl_float)(rand() % 16);
shrLog("Initializing OpenCL...\n");
//Get the NVIDIA platform
ciErrNum = oclGetPlatformID(&cpPlatform);
oclCheckError(ciErrNum, CL_SUCCESS);
//Get the devices
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 1, &cdDevice, NULL);
//Create the context
cxGPUContext = clCreateContext(0, 1, &cdDevice, NULL, NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
//Create a command-queue
cqCommandQueue = clCreateCommandQueue(cxGPUContext, cdDevice, CL_QUEUE_PROFILING_ENABLE, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("Initializing OpenCL separable convolution...\n");
initConvolutionSeparable(cxGPUContext, cqCommandQueue, (const char **)argv);
shrLog("Creating OpenCL memory objects...\n");
c_Kernel = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, KERNEL_LENGTH * sizeof(cl_float), h_Kernel, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
d_Input = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, imageW * imageH * sizeof(cl_float), h_Input, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
d_Buffer = clCreateBuffer(cxGPUContext, CL_MEM_READ_WRITE, imageW * imageH * sizeof(cl_float), NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
d_Output = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, imageW * imageH * sizeof(cl_float), NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("Applying separable convolution to %u x %u image...\n\n", imageW, imageH);
//Just a single run or a warmup iteration
convolutionRows(
NULL,
d_Buffer,
d_Input,
c_Kernel,
imageW,
imageH
);
convolutionColumns(
NULL,
d_Output,
d_Buffer,
c_Kernel,
imageW,
imageH
);
#ifdef GPU_PROFILING
const int numIterations = 16;
cl_event startMark, endMark;
ciErrNum = clEnqueueMarker(cqCommandQueue, &startMark);
ciErrNum |= clFinish(cqCommandQueue);
shrCheckError(ciErrNum, CL_SUCCESS);
shrDeltaT(0);
for(int iter = 0; iter < numIterations; iter++){
convolutionRows(
cqCommandQueue,
d_Buffer,
d_Input,
c_Kernel,
imageW,
imageH
);
convolutionColumns(
cqCommandQueue,
d_Output,
d_Buffer,
c_Kernel,
imageW,
imageH
);
}
ciErrNum = clEnqueueMarker(cqCommandQueue, &endMark);
ciErrNum |= clFinish(cqCommandQueue);
shrCheckError(ciErrNum, CL_SUCCESS);
//Calculate performance metrics by wallclock time
double gpuTime = shrDeltaT(0) / (double)numIterations;
shrLogEx(LOGBOTH | MASTER, 0, "oclConvolutionSeparable, Throughput = %.4f MPixels/s, Time = %.5f s, Size = %u Pixels, NumDevsUsed = %i, Workgroup = %u\n",
(1.0e-6 * (double)(imageW * imageH)/ gpuTime), gpuTime, (imageW * imageH), 1, 0);
//Get OpenCL profiler info
cl_ulong startTime = 0, endTime = 0;
ciErrNum = clGetEventProfilingInfo(startMark, CL_PROFILING_COMMAND_END, sizeof(cl_ulong), &startTime, NULL);
ciErrNum |= clGetEventProfilingInfo(endMark, CL_PROFILING_COMMAND_END, sizeof(cl_ulong), &endTime, NULL);
shrCheckError(ciErrNum, CL_SUCCESS);
shrLog("\nOpenCL time: %.5f s\n\n", 1.0e-9 * ((double)endTime - (double)startTime)/ (double)numIterations);
#endif
shrLog("Reading back OpenCL results...\n\n");
ciErrNum = clEnqueueReadBuffer(cqCommandQueue, d_Output, CL_TRUE, 0, imageW * imageH * sizeof(cl_float), h_OutputGPU, 0, NULL, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("Comparing against Host/C++ computation...\n");
convolutionRowHost(h_Buffer, h_Input, h_Kernel, imageW, imageH, KERNEL_RADIUS);
convolutionColumnHost(h_OutputCPU, h_Buffer, h_Kernel, imageW, imageH, KERNEL_RADIUS);
double sum = 0, delta = 0;
double L2norm;
for(unsigned int i = 0; i < imageW * imageH; i++){
delta += (h_OutputCPU[i] - h_OutputGPU[i]) * (h_OutputCPU[i] - h_OutputGPU[i]);
sum += h_OutputCPU[i] * h_OutputCPU[i];
}
L2norm = sqrt(delta / sum);
shrLog("Relative L2 norm: %.3e\n\n", L2norm);
// cleanup
closeConvolutionSeparable();
ciErrNum = clReleaseMemObject(d_Output);
ciErrNum |= clReleaseMemObject(d_Buffer);
ciErrNum |= clReleaseMemObject(d_Input);
ciErrNum |= clReleaseMemObject(c_Kernel);
ciErrNum |= clReleaseCommandQueue(cqCommandQueue);
ciErrNum |= clReleaseContext(cxGPUContext);
oclCheckError(ciErrNum, CL_SUCCESS);
free(h_OutputGPU);
free(h_OutputCPU);
free(h_Buffer);
free(h_Input);
free(h_Kernel);
// finish
shrQAFinishExit(argc, (const char **)argv, (L2norm < 1e-6) ? QA_PASSED : QA_FAILED);
}
// main function
//*****************************************************************************
int main(int argc, const char **argv)
{
cl_platform_id cpPlatform; // OpenCL platform
cl_uint nDevice; // OpenCL device count
cl_device_id* cdDevices; // OpenCL device list
cl_context cxGPUContext; // OpenCL context
cl_command_queue cqCommandQue[MAX_GPU_COUNT]; // OpenCL command que
cl_int ciErrNum = 1; // Error code var
shrQAStart(argc, (char **)argv);
// Get the NVIDIA platform
ciErrNum = oclGetPlatformID(&cpPlatform);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
shrLog("clGetPlatformID...\n");
//Get all the devices
cl_uint uiNumDevices = 0; // Number of devices available
cl_uint uiTargetDevice = 0; // Default Device to compute on
cl_uint uiNumComputeUnits; // Number of compute units (SM's on NV GPU)
shrLog("Get the Device info and select Device...\n");
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 0, NULL, &uiNumDevices);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
cdDevices = (cl_device_id *)malloc(uiNumDevices * sizeof(cl_device_id) );
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, uiNumDevices, cdDevices, NULL);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
// Get command line device options and config accordingly
shrLog(" # of Devices Available = %u\n", uiNumDevices);
if(shrGetCmdLineArgumentu(argc, (const char**)argv, "device", &uiTargetDevice)== shrTRUE)
{
uiTargetDevice = CLAMP(uiTargetDevice, 0, (uiNumDevices - 1));
}
shrLog(" Using Device %u: ", uiTargetDevice);
oclPrintDevName(LOGBOTH, cdDevices[uiTargetDevice]);
ciErrNum = clGetDeviceInfo(cdDevices[uiTargetDevice], CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(uiNumComputeUnits), &uiNumComputeUnits, NULL);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
shrLog("\n # of Compute Units = %u\n", uiNumComputeUnits);
shrSetLogFileName ("oclHiddenMarkovModel.txt");
shrLog("%s Starting...\n\n", argv[0]);
shrLog("Get platform...\n");
ciErrNum = oclGetPlatformID(&cpPlatform);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
shrLog("Get devices...\n");
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 0, NULL, &nDevice);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
cdDevices = (cl_device_id *)malloc(nDevice * sizeof(cl_device_id) );
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, nDevice, cdDevices, NULL);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
shrLog("clCreateContext\n");
cxGPUContext = clCreateContext(0, nDevice, cdDevices, NULL, NULL, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
shrLog("clCreateCommandQueue\n");
int id_device;
if(shrGetCmdLineArgumenti(argc, argv, "device", &id_device)) // Set up command queue(s) for GPU specified on the command line
{
// create a command que
cqCommandQue[0] = clCreateCommandQueue(cxGPUContext, cdDevices[id_device], 0, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
oclPrintDevInfo(LOGBOTH, cdDevices[id_device]);
nDevice = 1;
}
else
{ // create command queues for all available devices
for (cl_uint i = 0; i < nDevice; i++)
{
cqCommandQue[i] = clCreateCommandQueue(cxGPUContext, cdDevices[i], CL_QUEUE_PROFILING_ENABLE, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, NULL);
}
for (cl_uint i = 0; i < nDevice; i++) oclPrintDevInfo(LOGBOTH, cdDevices[i]);
}
shrLog("\nUsing %d GPU(s)...\n\n", nDevice);
int wgSize;
if (!shrGetCmdLineArgumenti(argc, argv, "work-group-size", &wgSize))
{
wgSize = 256;
}
shrLog("Init Hidden Markov Model parameters\n");
int nState = 256*16; // number of states, must be a multiple of 256
int nEmit = 128; // number of possible observations
float *initProb = (float*)malloc(sizeof(float)*nState); // initial probability
float *mtState = (float*)malloc(sizeof(float)*nState*nState); // state transition matrix
float *mtEmit = (float*)malloc(sizeof(float)*nEmit*nState); // emission matrix
initHMM(initProb, mtState, mtEmit, nState, nEmit);
// define observational sequence
int nObs = 100; // size of observational sequence
int **obs = (int**)malloc(nDevice*sizeof(int*));
int **viterbiPathCPU = (int**)malloc(nDevice*sizeof(int*));
int **viterbiPathGPU = (int**)malloc(nDevice*sizeof(int*));
float *viterbiProbCPU = (float*)malloc(nDevice*sizeof(float));
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
obs[iDevice] = (int*)malloc(sizeof(int)*nObs);
for (int i = 0; i < nObs; i++)
obs[iDevice][i] = i % 15;
viterbiPathCPU[iDevice] = (int*)malloc(sizeof(int)*nObs);
viterbiPathGPU[iDevice] = (int*)malloc(sizeof(int)*nObs);
}
shrLog("# of states = %d\n# of possible observations = %d \nSize of observational sequence = %d\n\n",
nState, nEmit, nObs);
shrLog("Compute Viterbi path on GPU\n\n");
HMM **oHmm = (HMM**)malloc(nDevice*sizeof(HMM*));
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
oHmm[iDevice] = new HMM(cxGPUContext, cqCommandQue[iDevice], initProb, mtState, mtEmit, nState, nEmit, nObs, argv[0], wgSize);
}
cl_mem *vProb = (cl_mem*)malloc(sizeof(cl_mem)*nDevice);
cl_mem *vPath = (cl_mem*)malloc(sizeof(cl_mem)*nDevice);
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
vProb[iDevice] = clCreateBuffer(cxGPUContext, CL_MEM_READ_WRITE, sizeof(float), NULL, &ciErrNum);
vPath[iDevice] = clCreateBuffer(cxGPUContext, CL_MEM_READ_WRITE, sizeof(int)*nObs, NULL, &ciErrNum);
}
#ifdef GPU_PROFILING
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
clFinish(cqCommandQue[iDevice]);;
}
shrDeltaT(1);
#endif
size_t szWorkGroup;
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
szWorkGroup = oHmm[iDevice]->ViterbiSearch(vProb[iDevice], vPath[iDevice], obs[iDevice]);
}
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
clFinish(cqCommandQue[iDevice]);
}
#ifdef GPU_PROFILING
double dElapsedTime = shrDeltaT(1);
shrLogEx(LOGBOTH | MASTER, 0, "oclHiddenMarkovModel, Throughput = %.4f GB/s, Time = %.5f s, Size = %u items, NumDevsUsed = %u, Workgroup = %u\n",
(1.0e-9 * 2.0 * sizeof(float) * nDevice * nState * nState * (nObs-1))/dElapsedTime, dElapsedTime, (nDevice * nState * nObs), nDevice, szWorkGroup);
#endif
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
ciErrNum = clEnqueueReadBuffer(cqCommandQue[iDevice], vPath[iDevice], CL_TRUE, 0, sizeof(int)*nObs, viterbiPathGPU[iDevice], 0, NULL, NULL);
}
shrLog("\nCompute Viterbi path on CPU\n");
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
ciErrNum = ViterbiCPU(viterbiProbCPU[iDevice], viterbiPathCPU[iDevice], obs[iDevice], nObs, initProb, mtState, nState, mtEmit);
}
if (!ciErrNum)
{
shrEXIT(argc, argv);
}
bool pass = true;
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
for (int i = 0; i < nObs; i++)
{
if (viterbiPathCPU[iDevice][i] != viterbiPathGPU[iDevice][i])
{
pass = false;
break;
}
}
}
// NOTE: Most properly this should be done at any of the exit points above, but it is omitted elsewhere for clarity.
shrLog("Release CPU buffers and OpenCL objects...\n");
free(initProb);
free(mtState);
free(mtEmit);
for (cl_uint iDevice = 0; iDevice < nDevice; iDevice++)
{
free(obs[iDevice]);
free(viterbiPathCPU[iDevice]);
free(viterbiPathGPU[iDevice]);
delete oHmm[iDevice];
clReleaseCommandQueue(cqCommandQue[iDevice]);
}
free(obs);
free(viterbiPathCPU);
free(viterbiPathGPU);
free(viterbiProbCPU);
free(cdDevices);
free(oHmm);
clReleaseContext(cxGPUContext);
// finish
shrQAFinishExit(argc, (const char **)argv, pass ? QA_PASSED : QA_FAILED);
shrEXIT(argc, argv);
}
//-----------------------------------------------------------------------------
// Program main
//-----------------------------------------------------------------------------
int main(int argc, char** argv)
{
pArgc = &argc;
pArgv = argv;
// start logs
shrQAStart(argc, argv);
shrSetLogFileName ("oclSimpleD3D9Texture.txt");
shrLog("%s Starting...\n\n", argv[0]);
// process command line arguments
if (argc > 1)
{
bQATest = shrCheckCmdLineFlag(argc, (const char **)argv, "qatest");
bNoPrompt = shrCheckCmdLineFlag(argc, (const char **)argv, "noprompt");
}
//
// create window
//
// Register the window class
WNDCLASSEX wc = { sizeof(WNDCLASSEX), CS_CLASSDC, MsgProc, 0L, 0L,
GetModuleHandle(NULL), NULL, NULL, NULL, NULL,
"OpenCL/D3D9 Texture InterOP", NULL };
RegisterClassEx( &wc );
int xBorder = ::GetSystemMetrics(SM_CXSIZEFRAME);
int yMenu = ::GetSystemMetrics(SM_CYMENU);
int yBorder = ::GetSystemMetrics(SM_CYSIZEFRAME);
// Create the application's window (padding by window border for uniform BB sizes across OSs)
HWND hWnd = CreateWindow( wc.lpszClassName, "OpenCL/D3D9 Texture InterOP",
WS_OVERLAPPEDWINDOW, 0, 0, g_WindowWidth + 2*xBorder, g_WindowHeight+ 2*yBorder+yMenu,
NULL, NULL, wc.hInstance, NULL );
ShowWindow(hWnd, SW_SHOWDEFAULT);
UpdateWindow(hWnd);
// init fps timer
shrDeltaT (1);
// Initialize Direct3D
if( SUCCEEDED( InitD3D9(hWnd) ) &&
SUCCEEDED( InitCL(argc, (const char **)argv) ) &&
SUCCEEDED( InitTextures() ) )
{
if (!g_bDeviceLost)
{
RegisterD3D9ResourceWithCL();
}
}
//
// the main loop
//
while(false == g_bDone)
{
RunCL();
DrawScene();
//
// handle I/O
//
MSG msg;
ZeroMemory( &msg, sizeof(msg) );
while( msg.message!=WM_QUIT )
{
if( PeekMessage( &msg, NULL, 0U, 0U, PM_REMOVE ) )
{
TranslateMessage( &msg );
DispatchMessage( &msg );
}
else
{
RunCL();
DrawScene();
if(bQATest)
{
for(int count=0;count<g_iFrameToCompare;count++)
{
RunCL();
DrawScene();
}
const char *ref_image_path = "ref_oclSimpleD3D9Texture.ppm";
const char *cur_image_path = "oclSimpleD3D9Texture.ppm";
// Save a reference of our current test run image
CheckRenderD3D9::BackbufferToPPM(g_pD3DDevice,cur_image_path);
// compare to offical reference image, printing PASS or FAIL.
g_bPassed = CheckRenderD3D9::PPMvsPPM(cur_image_path,ref_image_path,argv[0],MAX_EPSILON, 0.15f);
PostQuitMessage(0);
g_bDone = true;
}
}
}
};
// Unregister windows class
UnregisterClass( wc.lpszClassName, wc.hInstance );
// Cleanup and leave
Cleanup (g_bPassed ? EXIT_SUCCESS : EXIT_FAILURE);
}
// Primary GLUT callback loop function
//*****************************************************************************
void DisplayGL()
{
// update the simulation, if not paused
double dProcessingTime = 0.0;
if (!bPause)
{
// start timer 0 if it's update time
if (iFrameCount >= iFrameTrigger)
{
shrDeltaT(0);
}
// do the processing
psystem->update(timestep);
renderer->setVertexBuffer(psystem->getCurrentReadBuffer(), psystem->getNumParticles());
// get processing time from timer 0, if it's update time
if (iFrameCount >= iFrameTrigger)
{
dProcessingTime = shrDeltaT(0);
}
}
// Clear last frame
glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
// Add cube
glColor3f(1.0, 1.0, 1.0);
glutWireCube(2.0);
// Add collider
glPushMatrix();
float3 p = psystem->getColliderPos();
glTranslatef(p.x, p.y, p.z);
glColor3f(0.75, 0.0, 0.5);
glutWireSphere(psystem->getColliderRadius(), 30, 15);
glPopMatrix();
// Render
if (displayEnabled)
{
renderer->display(displayMode);
}
// Display user interface if enabled
if (displaySliders)
{
glDisable(GL_DEPTH_TEST);
glBlendFunc(GL_ONE_MINUS_DST_COLOR, GL_ZERO); // invert color
glEnable(GL_BLEND);
params->Render(0, 0);
glDisable(GL_BLEND);
glEnable(GL_DEPTH_TEST);
}
// Flip backbuffer to screen
glutSwapBuffers();
// Increment the frame counter, and do fps stuff if it's time
if (iFrameCount++ > iFrameTrigger)
{
// Set the display window title
char cTitle[256];
iFramesPerSec = (int)((double)iFrameCount/ shrDeltaT(1));
#ifdef GPU_PROFILING
if(!bPause)
{
#ifdef _WIN32
sprintf_s(cTitle, 256, "%s Particles Simulation (%u particles) | %i fps | Proc. t = %.4f s",
cProcessor[iProcFlag], numParticles, iFramesPerSec, dProcessingTime);
#else
sprintf(cTitle, "%s OpenCL Particles Simulation (%u particles) | %i fps | Proc. t = %.4f s",
cProcessor[iProcFlag], numParticles, iFramesPerSec, dProcessingTime);
#endif
}
else
{
#ifdef _WIN32
sprintf_s(cTitle, 256, "%s Particles Simulation (%u particles) (Paused) | %i fps",
cProcessor[iProcFlag], numParticles, iFramesPerSec);
#else
sprintf(cTitle, "%s OpenCL Particles Simulation (%u particles) (Paused) | %i fps",
cProcessor[iProcFlag], numParticles, iFramesPerSec);
#endif
}
#else
if(!bPause)
{
#ifdef _WIN32
sprintf_s(cTitle, 256, "%s Particles Simulation (%u particles)",
cProcessor[iProcFlag], numParticles);
#else
sprintf(cTitle, "%s OpenCL Particles Simulation (%u particles)",
cProcessor[iProcFlag], numParticles);
#endif
}
else
{
#ifdef _WIN32
sprintf_s(cTitle, 256, "%s Particles Simulation (%u particles) (Paused)",
cProcessor[iProcFlag], numParticles);
#else
sprintf(cTitle, "%s OpenCL Particles Simulation (%u particles) (Paused)",
cProcessor[iProcFlag], numParticles);
#endif
}
#endif
glutSetWindowTitle(cTitle);
// Log fps and processing info to console and file
shrLog("%s\n", cTitle);
// Set based options: QuickTest or cycle demo
if (iSetCount++ == iTestSets)
{
if (bNoPrompt)
{
shrQAFinish2(false, *pArgc, (const char **)pArgv, QA_PASSED);
Cleanup(EXIT_SUCCESS);
}
if (bTour)
{
static int iOption = 1;
ResetSim(++iOption);
if (iOption > 3)iOption = 0;
}
iSetCount = 0;
}
// reset the frame count and trigger
iFrameCount = 0;
iFrameTrigger = (iFramesPerSec > 1) ? iFramesPerSec * 2 : 1;
}
}
// Display callback
//*****************************************************************************
void DisplayGL()
{
// Render the 3D teapot with GL
renderScene();
// start timer 0 if it's update time
double dProcessingTime = 0.0;
if (iFrameCount >= iFrameTrigger)
{
shrDeltaT(0);
}
// process
processImage();
// get processing time from timer 0, if it's update time
if (iFrameCount >= iFrameTrigger)
{
dProcessingTime = shrDeltaT(0);
}
// flip backbuffer to screen
displayImage();
glutSwapBuffers();
glutPostRedisplay();
// Increment the frame counter, and do fps and Q/A stuff if it's time
if (iFrameCount++ > iFrameTrigger)
{
// set GLUT Window Title
char cFPS[256];
iFramesPerSec = (int)((double)iFrameCount/shrDeltaT(1));
#ifdef GPU_PROFILING
if( bPostprocess )
{
#ifdef _WIN32
sprintf_s(cFPS, 256, "%s Postprocess ON %ix%i | %i fps | Proc.t = %.3f s",
cProcessor[iProcFlag], iGraphicsWinWidth, iGraphicsWinHeight,
iFramesPerSec, dProcessingTime);
#else
sprintf(cFPS, "%s Postprocess ON %ix%i | %i fps | Proc.t = %.3f s",
cProcessor[iProcFlag], iGraphicsWinWidth, iGraphicsWinHeight,
iFramesPerSec, dProcessingTime);
#endif
}
else
{
#ifdef _WIN32
sprintf_s(cFPS, 256, "Postprocess OFF %ix%i | %i fps", iGraphicsWinWidth, iGraphicsWinHeight, iFramesPerSec);
#else
sprintf(cFPS, "Postprocess OFF %ix%i | %i fps", iGraphicsWinWidth, iGraphicsWinHeight, iFramesPerSec);
#endif
}
#else
if(bPostprocess)
{
#ifdef _WIN32
sprintf_s(cFPS, 256, "%s Postprocess ON %ix%i", cProcessor[iProcFlag], iGraphicsWinWidth, iGraphicsWinHeight);
#else
sprintf(cFPS, "%s Postprocess ON %ix%i", cProcessor[iProcFlag], iGraphicsWinWidth, iGraphicsWinHeight);
#endif
}
else
{
#ifdef _WIN32
sprintf_s(cFPS, 256, "%s Postprocess OFF %ix%i", cProcessor[iProcFlag], iGraphicsWinWidth, iGraphicsWinHeight);
#else
sprintf(cFPS, "%s Postprocess OFF %ix%i", cProcessor[iProcFlag], iGraphicsWinWidth, iGraphicsWinHeight);
#endif
}
#endif
glutSetWindowTitle(cFPS);
// Log fps and processing info to console and file
shrLog(" %s\n", cFPS);
// if doing quick test, exit
if ((bNoPrompt) && (!--iTestSets))
{
// Cleanup up and quit
Cleanup(EXIT_SUCCESS);
}
// reset framecount, trigger and timer
iFrameCount = 0;
iFrameTrigger = (iFramesPerSec > 1) ? iFramesPerSec * 2 : 1;
}
}
// Display callback for GLUT main loop
//*****************************************************************************
void DisplayGL()
{
glClear(GL_COLOR_BUFFER_BIT);
// Run OpenCL kernel to filter image (if toggled on), then render to backbuffer
if (bFilter)
{
// process on the GPU or the Host, depending on user toggle/flag
if (iProcFlag == 0)
{
dProcessingTime += SobelFilterGPU (uiInput, uiOutput);
}
else
{
dProcessingTime += SobelFilterHost (uiInput, uiOutput, uiImageWidth, uiImageHeight, fThresh);
}
// Draw processed image
glDrawPixels(uiImageWidth, uiImageHeight, GL_RGBA, GL_UNSIGNED_BYTE, uiOutput);
}
else
{
// Skip processing and draw the raw input image
glDrawPixels(uiImageWidth, uiImageHeight, GL_RGBA, GL_UNSIGNED_BYTE, uiInput);
}
// Flip backbuffer to screen
glutSwapBuffers();
// Increment the frame counter, and do fps stuff if it's time
if (iFrameCount++ > iFrameTrigger)
{
// Buffer for display window title
char cTitle[256];
// Get average fps and average computation time
iFramesPerSec = (int)((double)iFrameCount / shrDeltaT(1));
dProcessingTime /= (double)iFrameCount;
#ifdef GPU_PROFILING
if (bFilter)
{
#ifdef _WIN32
sprintf_s(cTitle, 256, "%s RGB Sobel Filter ON | W: %u , H: %u | Thresh. = %.1f | # GPUs = %u | %i fps | Proc. t = %.5f s | %.1f Mpix/s",
cProcessor[iProcFlag], uiImageWidth, uiImageHeight, fThresh, GpuDevMngr->uiUsefulDevCt, iFramesPerSec,
dProcessingTime, (1.0e-6 * uiImageWidth * uiImageHeight)/dProcessingTime);
#else
sprintf(cTitle, "%s RGB Sobel Filter ON | W: %u , H: %u | Thresh. = %.1f | # GPUs = %u | %i fps | Proc. t = %.5f s | %.1f Mpix/s",
cProcessor[iProcFlag], uiImageWidth, uiImageHeight, fThresh, GpuDevMngr->uiUsefulDevCt, iFramesPerSec,
dProcessingTime, (1.0e-6 * uiImageWidth * uiImageHeight)/dProcessingTime);
#endif
}
else
{
#ifdef _WIN32
sprintf_s(cTitle, 256, "RGB Sobel Filter OFF | W: %u , H: %u | %i fps",
uiImageWidth, uiImageHeight, iFramesPerSec);
#else
sprintf(cTitle, "RGB Sobel Filter OFF | W: %u , H: %u | %i fps",
uiImageWidth, uiImageHeight, iFramesPerSec);
#endif
}
#else
if (bFilter)
{
#ifdef _WIN32
sprintf_s(cTitle, 256, "%s RGB Sobel Filter ON | W: %u , H: %u | Thresh. = %.1f",
cProcessor[iProcFlag], uiImageWidth, uiImageHeight, fThresh);
#else
sprintf(cTitle, "%s RGB Sobel Filter ON | W: %u , H: %u | Thresh. = %.1f",
cProcessor[iProcFlag], uiImageWidth, uiImageHeight, fThresh);
#endif
}
else
{
#ifdef _WIN32
sprintf_s(cTitle, 256, "RGB Sobel Filter OFF | W: %u , H: %u",
uiImageWidth, uiImageHeight);
#else
sprintf(cTitle, "RGB Sobel Filter OFF | W: %u , H: %u",
uiImageWidth, uiImageHeight);
#endif
}
#endif
glutSetWindowTitle(cTitle);
// Log fps and processing info to console and file
shrLog("%s\n", cTitle);
// if doing quick test, exit
if ((bNoPrompt) && (!--iTestSets))
{
// Cleanup up and quit
Cleanup(EXIT_SUCCESS);
}
// reset the frame counter and processing timer val and adjust trigger
iFrameCount = 0;
dProcessingTime = 0.0;
iFrameTrigger = (iFramesPerSec > 1) ? iFramesPerSec * 2 : 1;
}
}
// OpenCL computation function for 1 or more GPUs
// Copies input data from pinned host buf to the device, runs kernel, copies output data back to pinned output host buf
//*****************************************************************************
double SobelFilterGPU(cl_uint* uiInputImage, cl_uint* uiOutputImage)
{
// If this is a video application, fresh data in pinned host buffer is needed beyond here
// This line could be a sync point assuring that an asynchronous acqusition is complete.
// That ascynchronous acquisition would do a map, update and unmap for the pinned input buffer
//
// Otherwise a synchronous acquisition call ('get next frame') could be placed here, but that would be less optimal.
// For each device: copy fresh input H2D
ciErrNum = CL_SUCCESS;
for (cl_uint i = 0; i < GpuDevMngr->uiUsefulDevCt; i++)
{
// Nonblocking Write of input image data from host to device
ciErrNum |= clEnqueueWriteBuffer(cqCommandQueue[i], cmDevBufIn[i], CL_FALSE, 0, szAllocDevBytes[i],
(void*)&uiInputImage[uiInHostPixOffsets[i]], 0, NULL, NULL);
}
// Sync all queues to host and start computation timer on host to get computation elapsed wall clock time
// (Only for timing... can be omitted in a production app)
for (cl_uint j = 0; j < GpuDevMngr->uiUsefulDevCt; j++)
{
ciErrNum |= clFinish(cqCommandQueue[j]);
}
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
// For each device: Process
shrDeltaT(0);
for (cl_uint i = 0; i < GpuDevMngr->uiUsefulDevCt; i++)
{
// Determine configuration bytes, offsets and launch config, based on position of device region vertically in image
if (GpuDevMngr->uiUsefulDevCt == 1)
{
// One device processes the whole image with no offset tricks needed
szGlobalWorkSize[1] = shrRoundUp((int)szLocalWorkSize[1], (int)uiDevImageHeight[i]);
}
else if (i == 0)
{
// Multiple devices, top boundary tile:
// Process whole device allocation, including extra row
// No offset, but don't return the last row (dark/garbage row) D2H
szGlobalWorkSize[1] = shrRoundUp((int)szLocalWorkSize[1], (int)uiDevImageHeight[i]);
}
else if (i < (GpuDevMngr->uiUsefulDevCt - 1))
{
// Multiple devices, middle tile:
// Process whole device allocation, including extra 2 rows
// Offset down by 1 row, and don't return the first and last rows (dark/garbage rows) D2H
szGlobalWorkSize[1] = shrRoundUp((int)szLocalWorkSize[1], (int)uiDevImageHeight[i]);
}
else
{
// Multiple devices, last boundary tile:
// Process whole device allocation, including extra row
// Offset down by 1 row, and don't return the first row (dark/garbage row) D2H
szGlobalWorkSize[1] = shrRoundUp((int)szLocalWorkSize[1], (int)uiDevImageHeight[i]);
}
// Pass in dev image height (# of rows worked on) for this device
ciErrNum |= clSetKernelArg(ckSobel[i], 5, sizeof(cl_uint), (void*)&uiDevImageHeight[i]);
// Launch Sobel kernel(s) into queue(s) and push to device(s)
ciErrNum |= clEnqueueNDRangeKernel(cqCommandQueue[i], ckSobel[i], 2, NULL, szGlobalWorkSize, szLocalWorkSize, 0, NULL, NULL);
// Push to device(s) so subsequent clFinish in queue 0 doesn't block driver from issuing enqueue command for higher queues
ciErrNum |= clFlush(cqCommandQueue[i]);
}
// Sync all queues to host and get elapsed wall clock time for computation in all queues
// (Only for timing... can be omitted in a production app)
for (cl_uint j = 0; j < GpuDevMngr->uiUsefulDevCt; j++)
{
ciErrNum |= clFinish(cqCommandQueue[j]);
}
double dKernelTime = shrDeltaT(0); // Time from launch of first compute kernel to end of all compute kernels
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
// For each device: copy fresh output D2H
for (cl_uint i = 0; i < GpuDevMngr->uiUsefulDevCt; i++)
{
// Determine configuration bytes and offsets based on position of device region vertically in image
size_t szReturnBytes;
cl_uint uiOutDevByteOffset;
if (GpuDevMngr->uiUsefulDevCt == 1)
{
// One device processes the whole image with no offset tricks needed
szReturnBytes = szBuffBytes;
uiOutDevByteOffset = 0;
}
else if (i == 0)
{
// Multiple devices, top boundary tile:
// Process whole device allocation, including extra row
// No offset, but don't return the last row (dark/garbage row) D2H
szReturnBytes = szAllocDevBytes[i] - (uiImageWidth * sizeof(cl_uint));
uiOutDevByteOffset = 0;
}
else if (i < (GpuDevMngr->uiUsefulDevCt - 1))
{
// Multiple devices, middle tile:
// Process whole device allocation, including extra 2 rows
// Offset down by 1 row, and don't return the first and last rows (dark/garbage rows) D2H
szReturnBytes = szAllocDevBytes[i] - ((uiImageWidth * sizeof(cl_uint)) * 2);
uiOutDevByteOffset = uiImageWidth * sizeof(cl_uint);
}
else
{
// Multiple devices, last boundary tile:
// Process whole device allocation, including extra row
// Offset down by 1 row, and don't return the first row (dark/garbage row) D2H
szReturnBytes = szAllocDevBytes[i] - (uiImageWidth * sizeof(cl_uint));
uiOutDevByteOffset = uiImageWidth * sizeof(cl_uint);
}
// Non Blocking Read of output image data from device to host
ciErrNum |= clEnqueueReadBuffer(cqCommandQueue[i], cmDevBufOut[i], CL_FALSE, uiOutDevByteOffset, szReturnBytes,
(void*)&uiOutputImage[uiOutHostPixOffsets[i]], 0, NULL, NULL);
}
// Finish all queues and check for errors before returning
// The block here assures valid output data for subsequent host processing
for (cl_uint j = 0; j < GpuDevMngr->uiUsefulDevCt; j++)
{
ciErrNum |= clFinish(cqCommandQueue[j]);
}
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
return dKernelTime;
}
// Main program
//*****************************************************************************
int main(int argc, char** argv)
{
pArgc = &argc;
pArgv = argv;
shrQAStart(argc, argv);
// Start logs
cExecutableName = argv[0];
shrSetLogFileName ("oclSobelFilter.txt");
shrLog("%s Starting (Using %s)...\n\n", argv[0], clSourcefile);
// Get command line args for quick test or QA test, if provided
bNoPrompt = (bool)shrCheckCmdLineFlag(argc, (const char**)argv, "noprompt");
bQATest = (bool)shrCheckCmdLineFlag(argc, (const char**)argv, "qatest");
// Menu items
if (!(bQATest))
{
ShowMenuItems();
}
// Find the path from the exe to the image file
cPathAndName = shrFindFilePath(cImageFile, argv[0]);
oclCheckErrorEX(cPathAndName != NULL, shrTRUE, pCleanup);
shrLog("Image File\t = %s\nImage Dimensions = %u w x %u h x %u bpp\n\n", cPathAndName, uiImageWidth, uiImageHeight, sizeof(unsigned int)<<3);
// Initialize OpenGL items (if not No-GL QA test)
shrLog("%sInitGL...\n\n", bQATest ? "Skipping " : "Calling ");
if (!(bQATest))
{
InitGL(&argc, argv);
}
//Get the NVIDIA platform if available, otherwise use default
char cBuffer[1024];
bool bNV = false;
shrLog("Get Platform ID... ");
ciErrNum = oclGetPlatformID(&cpPlatform);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
ciErrNum = clGetPlatformInfo (cpPlatform, CL_PLATFORM_NAME, sizeof(cBuffer), cBuffer, NULL);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
shrLog("%s\n\n", cBuffer);
bNV = (strstr(cBuffer, "NVIDIA") != NULL);
//Get the devices
shrLog("Get Device Info...\n");
cl_uint uiNumAllDevs = 0;
GpuDevMngr = new DeviceManager(cpPlatform, &uiNumAllDevs, pCleanup);
// Get selected device if specified, otherwise examine avaiable ones and choose by perf
cl_int iSelectedDevice = 0;
if((shrGetCmdLineArgumenti(argc, (const char**)argv, "device", &iSelectedDevice)) || (uiNumAllDevs == 1))
{
// Use 1 selected device
GpuDevMngr->uiUsefulDevCt = 1;
iSelectedDevice = CLAMP((cl_uint)iSelectedDevice, 0, (uiNumAllDevs - 1));
GpuDevMngr->uiUsefulDevs[0] = iSelectedDevice;
GpuDevMngr->fLoadProportions[0] = 1.0f;
shrLog(" Using 1 Selected Device for Sobel Filter Computation...\n");
}
else
{
// Use available useful devices and Compute the device load proportions
ciErrNum = GpuDevMngr->GetDevLoadProportions(bNV);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
if (GpuDevMngr->uiUsefulDevCt == 1)
{
iSelectedDevice = GpuDevMngr->uiUsefulDevs[0];
}
shrLog(" Using %u Device(s) for Sobel Filter Computation\n", GpuDevMngr->uiUsefulDevCt);
}
//Create the context
shrLog("\nclCreateContext...\n\n");
cxGPUContext = clCreateContext(0, uiNumAllDevs, GpuDevMngr->cdDevices, NULL, NULL, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
// Allocate per-device OpenCL objects for useful devices
cqCommandQueue = new cl_command_queue[GpuDevMngr->uiUsefulDevCt];
ckSobel = new cl_kernel[GpuDevMngr->uiUsefulDevCt];
cmDevBufIn = new cl_mem[GpuDevMngr->uiUsefulDevCt];
cmDevBufOut = new cl_mem[GpuDevMngr->uiUsefulDevCt];
szAllocDevBytes = new size_t[GpuDevMngr->uiUsefulDevCt];
uiInHostPixOffsets = new cl_uint[GpuDevMngr->uiUsefulDevCt];
uiOutHostPixOffsets = new cl_uint[GpuDevMngr->uiUsefulDevCt];
uiDevImageHeight = new cl_uint[GpuDevMngr->uiUsefulDevCt];
// Create command queue(s) for device(s)
shrLog("clCreateCommandQueue...\n");
for (cl_uint i = 0; i < GpuDevMngr->uiUsefulDevCt; i++)
{
cqCommandQueue[i] = clCreateCommandQueue(cxGPUContext, GpuDevMngr->cdDevices[GpuDevMngr->uiUsefulDevs[i]], 0, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
shrLog(" CommandQueue %u, Device %u, Device Load Proportion = %.2f, ", i, GpuDevMngr->uiUsefulDevs[i], GpuDevMngr->fLoadProportions[i]);
oclPrintDevName(LOGBOTH, GpuDevMngr->cdDevices[GpuDevMngr->uiUsefulDevs[i]]);
shrLog("\n");
}
// Allocate pinned input and output host image buffers: mem copy operations to/from pinned memory is much faster than paged memory
szBuffBytes = uiImageWidth * uiImageHeight * sizeof (unsigned int);
cmPinnedBufIn = clCreateBuffer(cxGPUContext, CL_MEM_READ_WRITE | CL_MEM_ALLOC_HOST_PTR, szBuffBytes, NULL, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
cmPinnedBufOut = clCreateBuffer(cxGPUContext, CL_MEM_READ_WRITE | CL_MEM_ALLOC_HOST_PTR, szBuffBytes, NULL, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
shrLog("\nclCreateBuffer (Input and Output Pinned Host buffers)...\n");
// Get mapped pointers for writing to pinned input and output host image pointers
uiInput = (cl_uint*)clEnqueueMapBuffer(cqCommandQueue[0], cmPinnedBufIn, CL_TRUE, CL_MAP_WRITE, 0, szBuffBytes, 0, NULL, NULL, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
uiOutput = (cl_uint*)clEnqueueMapBuffer(cqCommandQueue[0], cmPinnedBufOut, CL_TRUE, CL_MAP_READ, 0, szBuffBytes, 0, NULL, NULL, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
shrLog("clEnqueueMapBuffer (Pointer to Input and Output pinned host buffers)...\n");
// Load image data from file to pinned input host buffer
ciErrNum = shrLoadPPM4ub(cPathAndName, (unsigned char **)&uiInput, &uiImageWidth, &uiImageHeight);
oclCheckErrorEX(ciErrNum, shrTRUE, pCleanup);
shrLog("Load Input Image to Input pinned host buffer...\n");
// Read the kernel in from file
free(cPathAndName);
cPathAndName = shrFindFilePath(clSourcefile, argv[0]);
oclCheckErrorEX(cPathAndName != NULL, shrTRUE, pCleanup);
cSourceCL = oclLoadProgSource(cPathAndName, "// My comment\n", &szKernelLength);
oclCheckErrorEX(cSourceCL != NULL, shrTRUE, pCleanup);
shrLog("Load OpenCL Prog Source from File...\n");
// Create the program object
cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&cSourceCL, &szKernelLength, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
shrLog("clCreateProgramWithSource...\n");
// Build the program with 'mad' Optimization option
#ifdef MAC
char *flags = "-cl-fast-relaxed-math -DMAC";
#else
char *flags = "-cl-fast-relaxed-math";
#endif
ciErrNum = clBuildProgram(cpProgram, 0, NULL, flags, NULL, NULL);
if (ciErrNum != CL_SUCCESS)
{
// On error: write out standard error, Build Log and PTX, then cleanup and exit
shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR);
oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext));
oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclSobelFilter.ptx");
Cleanup(EXIT_FAILURE);
}
shrLog("clBuildProgram...\n\n");
// Determine, the size/shape of the image portions for each dev and create the device buffers
unsigned uiSumHeight = 0;
for (cl_uint i = 0; i < GpuDevMngr->uiUsefulDevCt; i++)
{
// Create kernel instance
ckSobel[i] = clCreateKernel(cpProgram, "ckSobel", &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
shrLog("clCreateKernel (ckSobel), Device %u...\n", i);
// Allocations and offsets for the portion of the image worked on by each device
if (GpuDevMngr->uiUsefulDevCt == 1)
{
// One device processes the whole image with no offset
uiDevImageHeight[i] = uiImageHeight;
uiInHostPixOffsets[i] = 0;
uiOutHostPixOffsets[i] = 0;
szAllocDevBytes[i] = uiDevImageHeight[i] * uiImageWidth * sizeof(cl_uint);
}
else if (i == 0)
{
// Multiple devices, top stripe zone including topmost row of image:
// Over-allocate on device by 1 row
// Set offset and size to copy extra 1 padding row H2D (below bottom of stripe)
// Won't return the last row (dark/garbage row) D2H
uiInHostPixOffsets[i] = 0;
uiOutHostPixOffsets[i] = 0;
uiDevImageHeight[i] = (cl_uint)(GpuDevMngr->fLoadProportions[GpuDevMngr->uiUsefulDevs[i]] * (float)uiImageHeight); // height is proportional to dev perf
uiSumHeight += uiDevImageHeight[i];
uiDevImageHeight[i] += 1;
szAllocDevBytes[i] = uiDevImageHeight[i] * uiImageWidth * sizeof(cl_uint);
}
else if (i < (GpuDevMngr->uiUsefulDevCt - 1))
{
// Multiple devices, middle stripe zone:
// Over-allocate on device by 2 rows
// Set offset and size to copy extra 2 padding rows H2D (above top and below bottom of stripe)
// Won't return the first and last rows (dark/garbage rows) D2H
uiInHostPixOffsets[i] = (uiSumHeight - 1) * uiImageWidth;
uiOutHostPixOffsets[i] = uiInHostPixOffsets[i] + uiImageWidth;
uiDevImageHeight[i] = (cl_uint)(GpuDevMngr->fLoadProportions[GpuDevMngr->uiUsefulDevs[i]] * (float)uiImageHeight); // height is proportional to dev perf
uiSumHeight += uiDevImageHeight[i];
uiDevImageHeight[i] += 2;
szAllocDevBytes[i] = uiDevImageHeight[i] * uiImageWidth * sizeof(cl_uint);
}
else
{
// Multiple devices, last boundary tile:
// Over-allocate on device by 1 row
// Set offset and size to copy extra 1 padding row H2D (above top of stripe)
// Won't return the first row (dark/garbage rows D2H
uiInHostPixOffsets[i] = (uiSumHeight - 1) * uiImageWidth;
uiOutHostPixOffsets[i] = uiInHostPixOffsets[i] + uiImageWidth;
uiDevImageHeight[i] = uiImageHeight - uiSumHeight; // "leftover" rows
uiSumHeight += uiDevImageHeight[i];
uiDevImageHeight[i] += 1;
szAllocDevBytes[i] = uiDevImageHeight[i] * uiImageWidth * sizeof(cl_uint);
}
shrLog("Image Height (rows) for Device %u = %u...\n", i, uiDevImageHeight[i]);
// Create the device buffers in GMEM on each device
cmDevBufIn[i] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, szAllocDevBytes[i], NULL, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
cmDevBufOut[i] = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, szAllocDevBytes[i], NULL, &ciErrNum);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
shrLog("clCreateBuffer (Input and Output GMEM buffers, Device %u)...\n", i);
// Set the common argument values for the Median kernel instance for each device
int iLocalPixPitch = iBlockDimX + 2;
ciErrNum = clSetKernelArg(ckSobel[i], 0, sizeof(cl_mem), (void*)&cmDevBufIn[i]);
ciErrNum |= clSetKernelArg(ckSobel[i], 1, sizeof(cl_mem), (void*)&cmDevBufOut[i]);
ciErrNum |= clSetKernelArg(ckSobel[i], 2, (iLocalPixPitch * (iBlockDimY + 2) * sizeof(cl_uchar4)), NULL);
ciErrNum |= clSetKernelArg(ckSobel[i], 3, sizeof(cl_int), (void*)&iLocalPixPitch);
ciErrNum |= clSetKernelArg(ckSobel[i], 4, sizeof(cl_uint), (void*)&uiImageWidth);
ciErrNum |= clSetKernelArg(ckSobel[i], 6, sizeof(cl_float), (void*)&fThresh);
oclCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup);
shrLog("clSetKernelArg (0-4), Device %u...\n\n", i);
}
// Set common global and local work sizes for Median kernel
szLocalWorkSize[0] = iBlockDimX;
szLocalWorkSize[1] = iBlockDimY;
szGlobalWorkSize[0] = shrRoundUp((int)szLocalWorkSize[0], uiImageWidth);
// init running timers
shrDeltaT(0); // timer 0 used for computation timing
shrDeltaT(1); // timer 1 used for fps computation
// Start main GLUT rendering loop for processing and rendering,
// or otherwise run No-GL Q/A test sequence
if (!(bQATest))
{
glutMainLoop();
}
else
{
TestNoGL();
}
Cleanup(EXIT_SUCCESS);
}
int main(int argc, char* argv[])
{
const int n = 4;
const size_t sizes[n] =
{ 3 << 10, 15 << 10, 15 << 20, 100 << 20 };
const int iterations[n] =
{ 60000, 60000, 300, 30 };
printf(
"device,platform name,device name,size (B),memory,access,direction,time (s),bandwidth (MB/s)\n");
int g = 0;
cl_int error;
cl_uint num_platforms;
checkOclErrors(clGetPlatformIDs(0, NULL, &num_platforms));
cl_platform_id* platforms = (cl_platform_id*) malloc(
sizeof(cl_platform_id) * num_platforms);
checkOclErrors(clGetPlatformIDs(num_platforms, platforms, NULL));
for (cl_uint p = 0; p < 1; ++p)
{
cl_platform_id platform = platforms[p];
char platform_name[256];
checkOclErrors(
clGetPlatformInfo(platform, CL_PLATFORM_NAME, sizeof(platform_name), platform_name, NULL));
// if (strcmp(platform_name, "NVIDIA CUDA")) continue;
cl_uint num_devices;
checkOclErrors(
clGetDeviceIDs(platform, CL_DEVICE_TYPE_ALL, 0, NULL, &num_devices));
cl_device_id* devices = (cl_device_id*) malloc(
sizeof(cl_device_id) * num_devices);
checkOclErrors(
clGetDeviceIDs(platform, CL_DEVICE_TYPE_ALL, num_devices, devices, NULL));
for (cl_uint d = 0; d < num_devices; ++d, ++g)
{
cl_device_id device = devices[d];
char device_name[256];
checkOclErrors(
clGetDeviceInfo(device, CL_DEVICE_NAME, sizeof(device_name), device_name, NULL));
cl_context context = clCreateContext(NULL, 1, &device, NULL, NULL,
&error);
checkOclErrors(error);
cl_command_queue command_queue = clCreateCommandQueue(context,
device, 0/*CL_QUEUE_PROFILING_ENABLE*/, &error);
checkOclErrors(error);
const size_t size = 100000 * sizeof(float);
const double bandwidth_unit = (double) size / (1 << 20);
void* h_p = NULL;
void* d_p = NULL;
cl_mem h_b;
cl_mem d_b;
double time;
double bandwidth;
d_b = clCreateBuffer(context, CL_MEM_READ_WRITE, size, NULL,
&error);
checkOclErrors(error);
// allocate pinned h_b
h_b = clCreateBuffer(context, /*CL_MEM_READ_WRITE | */
CL_MEM_ALLOC_HOST_PTR, size, NULL, &error);
checkOclErrors(error);
// --memory=pinned --access=mapped --htod
shrDeltaT();
h_p = clEnqueueMapBuffer(command_queue, h_b, CL_TRUE, CL_MAP_READ,
0, size, 0, NULL, NULL, &error);
checkOclErrors(error);
d_p = clEnqueueMapBuffer(command_queue, d_b, CL_TRUE,
CL_MAP_WRITE_INVALIDATE_REGION, 0, size, 0, NULL, NULL,
&error);
checkOclErrors(error);
memcpy(d_p, h_p, size);
checkOclErrors(
clEnqueueUnmapMemObject(command_queue, d_b, d_p, 0, NULL, NULL));
checkOclErrors(
clEnqueueUnmapMemObject(command_queue, h_b, h_p, 0, NULL, NULL));
checkOclErrors(clFinish(command_queue));
time = shrDeltaT();
bandwidth = bandwidth_unit / time;
printf("%d,%s,%s,%lu,%s,%s,%s,%.3f,%.0f\n", g, platform_name,
device_name, size, "pinned", "mapped", "HtoD", time,
bandwidth);
// --memory=pinned --access=mapped --dtoh
shrDeltaT();
h_p = clEnqueueMapBuffer(command_queue, h_b, CL_TRUE,
CL_MAP_WRITE_INVALIDATE_REGION, 0, size, 0, NULL, NULL,
&error);
checkOclErrors(error);
d_p = clEnqueueMapBuffer(command_queue, d_b, CL_TRUE, CL_MAP_READ,
0, size, 0, NULL, NULL, &error);
checkOclErrors(error);
memcpy(h_p, d_p, size);
checkOclErrors(
clEnqueueUnmapMemObject(command_queue, d_b, d_p, 0, NULL, NULL));
checkOclErrors(
clEnqueueUnmapMemObject(command_queue, h_b, h_p, 0, NULL, NULL));
checkOclErrors(clFinish(command_queue));
time = shrDeltaT();
bandwidth = bandwidth_unit / time;
printf("%d,%s,%s,%lu,%s,%s,%s,%.3f,%.0f\n", g, platform_name,
device_name, size, "pinned", "mapped", "DtoH", time,
bandwidth);
// deallocate pinned h_b
checkOclErrors(clReleaseMemObject(h_b));
checkOclErrors(clReleaseMemObject(d_b));
checkOclErrors(clReleaseCommandQueue(command_queue));
checkOclErrors(clReleaseContext(context));
}
free(devices);
}
free(platforms);
}
// Main program
//*****************************************************************************
int main(int argc, char** argv)
{
numParticles = NUM_PARTICLES;
uint gridDim = GRID_SIZE;
pArgc = &argc;
pArgv = argv;
shrQAStart(argc, argv);
// Start logs and timers
cExecutableName = argv[0];
shrSetLogFileName ("oclParticles.txt");
shrLog("%s Starting...\n\n", argv[0]);
// check command line flags and parameters
if (argc > 1)
{
shrGetCmdLineArgumenti(argc, (const char**)argv, "n", (int*)&numParticles);
shrGetCmdLineArgumenti(argc, (const char**)argv, "grid", (int*)&gridDim);
bQATest = shrCheckCmdLineFlag(argc, (const char**)argv, "qatest");
bNoPrompt = shrCheckCmdLineFlag(argc, (const char**)argv, "noprompt");
}
// Set and log grid size and particle count, after checking optional command-line inputs
gridSize.x = gridSize.y = gridSize.z = gridDim;
shrLog(" grid: %d x %d x %d = %d cells\n", gridSize.x, gridSize.y, gridSize.z, gridSize.x * gridSize.y * gridSize.z);
shrLog(" particles: %d\n\n", numParticles);
// initialize GLUT and GLEW
if(!bQATest)
{
InitGL(&argc, argv);
}
// initialize OpenCL
startupOpenCL(argc,(const char**)argv);
// init simulation parameters and objects
initParticleSystem(numParticles, gridSize);
initParams();
// Init timers
shrDeltaT(0); // timer 0 is for processing time measurements
shrDeltaT(1); // timer 1 is for fps measurement
// Start main GLUT rendering loop for processing and rendering,
// or otherwise run No-GL Q/A test sequence
if(!bQATest)
{
glutMainLoop();
}
else
{
TestNoGL();
}
// Normally unused return path
shrQAFinish(argc, (const char **)argv, QA_PASSED);
Cleanup(EXIT_SUCCESS);
}
// Main function
// *********************************************************************
int main(int argc, char** argv)
{
shrQAStart(argc, argv);
int use_gpu = 0;
for(int i = 0; i < argc && argv; i++)
{
if(!argv[i])
continue;
if(strstr(argv[i], "cpu"))
use_gpu = 0;
else if(strstr(argv[i], "gpu"))
use_gpu = 1;
}
// start logs
shrSetLogFileName ("oclDXTCompression.txt");
shrLog("%s Starting...\n\n", argv[0]);
cl_platform_id cpPlatform = NULL;
cl_uint uiNumDevices = 0;
cl_device_id *cdDevices = NULL;
cl_context cxGPUContext;
cl_command_queue cqCommandQueue;
cl_program cpProgram;
cl_kernel ckKernel;
cl_mem cmMemObjs[3];
cl_mem cmAlphaTable4, cmProds4;
cl_mem cmAlphaTable3, cmProds3;
size_t szGlobalWorkSize[1];
size_t szLocalWorkSize[1];
cl_int ciErrNum;
// Get the path of the filename
char *filename;
if (shrGetCmdLineArgumentstr(argc, (const char **)argv, "image", &filename)) {
image_filename = filename;
}
// load image
const char* image_path = shrFindFilePath(image_filename, argv[0]);
oclCheckError(image_path != NULL, shrTRUE);
shrLoadPPM4ub(image_path, (unsigned char **)&h_img, &width, &height);
oclCheckError(h_img != NULL, shrTRUE);
shrLog("Loaded '%s', %d x %d pixels\n\n", image_path, width, height);
// Convert linear image to block linear.
const uint memSize = width * height * sizeof(cl_uint);
uint* block_image = (uint*)malloc(memSize);
// Convert linear image to block linear.
for(uint by = 0; by < height/4; by++) {
for(uint bx = 0; bx < width/4; bx++) {
for (int i = 0; i < 16; i++) {
const int x = i & 3;
const int y = i / 4;
block_image[(by * width/4 + bx) * 16 + i] =
((uint *)h_img)[(by * 4 + y) * 4 * (width/4) + bx * 4 + x];
}
}
}
// Get the NVIDIA platform
ciErrNum = oclGetPlatformID(&cpPlatform);
oclCheckError(ciErrNum, CL_SUCCESS);
// Get the platform's GPU devices
ciErrNum = clGetDeviceIDs(cpPlatform, use_gpu?CL_DEVICE_TYPE_GPU:CL_DEVICE_TYPE_CPU, 0, NULL, &uiNumDevices);
oclCheckError(ciErrNum, CL_SUCCESS);
cdDevices = (cl_device_id *)malloc(uiNumDevices * sizeof(cl_device_id) );
ciErrNum = clGetDeviceIDs(cpPlatform, use_gpu?CL_DEVICE_TYPE_GPU:CL_DEVICE_TYPE_CPU, uiNumDevices, cdDevices, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
// Create the context
cxGPUContext = clCreateContext(0, uiNumDevices, cdDevices, NULL, NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
// get and log device
cl_device_id device;
if( shrCheckCmdLineFlag(argc, (const char **)argv, "device") ) {
int device_nr = 0;
shrGetCmdLineArgumenti(argc, (const char **)argv, "device", &device_nr);
device = oclGetDev(cxGPUContext, device_nr);
if( device == (cl_device_id)-1 ) {
shrLog(" Invalid GPU Device: devID=%d. %d valid GPU devices detected\n\n", device_nr, uiNumDevices);
shrLog(" exiting...\n");
return -1;
}
} else {
device = oclGetMaxFlopsDev(cxGPUContext);
}
oclPrintDevName(LOGBOTH, device);
shrLog("\n");
// create a command-queue
cqCommandQueue = clCreateCommandQueue(cxGPUContext, device, 0, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
// Memory Setup
// Constants
cmAlphaTable4 = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, 4 * sizeof(cl_float), (void*)&alphaTable4[0], &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
cmProds4 = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, 4 * sizeof(cl_int), (void*)&prods4[0], &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
cmAlphaTable3 = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, 4 * sizeof(cl_float), (void*)&alphaTable3[0], &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
cmProds3 = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, 4 * sizeof(cl_int), (void*)&prods3[0], &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
// Compute permutations.
cl_uint permutations[1024];
computePermutations(permutations);
// Upload permutations.
cmMemObjs[0] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR,
sizeof(cl_uint) * 1024, permutations, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
// Image
cmMemObjs[1] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, memSize, NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
// Result
const uint compressedSize = (width / 4) * (height / 4) * 8;
cmMemObjs[2] = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, compressedSize, NULL , &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
unsigned int * h_result = (uint*)malloc(compressedSize);
// Program Setup
size_t program_length;
const char* source_path = shrFindFilePath("DXTCompression.cl", argv[0]);
oclCheckError(source_path != NULL, shrTRUE);
char *source = oclLoadProgSource(source_path, "", &program_length);
oclCheckError(source != NULL, shrTRUE);
// create the program
cpProgram = clCreateProgramWithSource(cxGPUContext, 1,
(const char **) &source, &program_length, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
// build the program
ciErrNum = clBuildProgram(cpProgram, 0, NULL, "-cl-fast-relaxed-math", NULL, NULL);
if (ciErrNum != CL_SUCCESS)
{
// write out standard error, Build Log and PTX, then cleanup and exit
shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR);
oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext));
oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclDXTCompression.ptx");
oclCheckError(ciErrNum, CL_SUCCESS);
}
// create the kernel
ckKernel = clCreateKernel(cpProgram, "compress", &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
// set the args values
ciErrNum = clSetKernelArg(ckKernel, 0, sizeof(cl_mem), (void *) &cmMemObjs[0]);
ciErrNum |= clSetKernelArg(ckKernel, 1, sizeof(cl_mem), (void *) &cmMemObjs[1]);
ciErrNum |= clSetKernelArg(ckKernel, 2, sizeof(cl_mem), (void *) &cmMemObjs[2]);
ciErrNum |= clSetKernelArg(ckKernel, 3, sizeof(cl_mem), (void*)&cmAlphaTable4);
ciErrNum |= clSetKernelArg(ckKernel, 4, sizeof(cl_mem), (void*)&cmProds4);
ciErrNum |= clSetKernelArg(ckKernel, 5, sizeof(cl_mem), (void*)&cmAlphaTable3);
ciErrNum |= clSetKernelArg(ckKernel, 6, sizeof(cl_mem), (void*)&cmProds3);
oclCheckError(ciErrNum, CL_SUCCESS);
// Copy input data host to device
clEnqueueWriteBuffer(cqCommandQueue, cmMemObjs[1], CL_FALSE, 0, sizeof(cl_uint) * width * height, block_image, 0,0,0);
// Determine launch configuration and run timed computation numIterations times
int blocks = ((width + 3) / 4) * ((height + 3) / 4); // rounds up by 1 block in each dim if %4 != 0
// Restrict the numbers of blocks to launch on low end GPUs to avoid kernel timeout
cl_uint compute_units;
clGetDeviceInfo(device, CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(compute_units), &compute_units, NULL);
int blocksPerLaunch = MIN(blocks, 768 * (int)compute_units);
// set work-item dimensions
szGlobalWorkSize[0] = blocksPerLaunch * NUM_THREADS;
szLocalWorkSize[0]= NUM_THREADS;
#ifdef GPU_PROFILING
shrLog("\nRunning DXT Compression on %u x %u image...\n", width, height);
shrLog("\n%u Workgroups, %u Work Items per Workgroup, %u Work Items in NDRange...\n\n",
blocks, NUM_THREADS, blocks * NUM_THREADS);
int numIterations = 50;
for (int i = -1; i < numIterations; ++i) {
if (i == 0) { // start timing only after the first warmup iteration
clFinish(cqCommandQueue); // flush command queue
shrDeltaT(0); // start timer
}
#endif
// execute kernel
for( int j=0; j<blocks; j+= blocksPerLaunch ) {
clSetKernelArg(ckKernel, 7, sizeof(int), &j);
szGlobalWorkSize[0] = MIN( blocksPerLaunch, blocks-j ) * NUM_THREADS;
ciErrNum = clEnqueueNDRangeKernel(cqCommandQueue, ckKernel, 1, NULL,
szGlobalWorkSize, szLocalWorkSize,
0, NULL, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
}
#ifdef GPU_PROFILING
}
clFinish(cqCommandQueue);
double dAvgTime = shrDeltaT(0) / (double)numIterations;
shrLogEx(LOGBOTH | MASTER, 0, "oclDXTCompression, Throughput = %.4f MPixels/s, Time = %.5f s, Size = %u Pixels, NumDevsUsed = %i, Workgroup = %d\n",
(1.0e-6 * (double)(width * height)/ dAvgTime), dAvgTime, (width * height), 1, szLocalWorkSize[0]);
#endif
// blocking read output
ciErrNum = clEnqueueReadBuffer(cqCommandQueue, cmMemObjs[2], CL_TRUE, 0,
compressedSize, h_result, 0, NULL, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
// Write DDS file.
FILE* fp = NULL;
char output_filename[1024];
#ifdef WIN32
strcpy_s(output_filename, 1024, image_path);
strcpy_s(output_filename + strlen(image_path) - 3, 1024 - strlen(image_path) + 3, "dds");
fopen_s(&fp, output_filename, "wb");
#else
strcpy(output_filename, image_path);
strcpy(output_filename + strlen(image_path) - 3, "dds");
fp = fopen(output_filename, "wb");
#endif
oclCheckError(fp != NULL, shrTRUE);
DDSHeader header;
header.fourcc = FOURCC_DDS;
header.size = 124;
header.flags = (DDSD_WIDTH|DDSD_HEIGHT|DDSD_CAPS|DDSD_PIXELFORMAT|DDSD_LINEARSIZE);
header.height = height;
header.width = width;
header.pitch = compressedSize;
header.depth = 0;
header.mipmapcount = 0;
memset(header.reserved, 0, sizeof(header.reserved));
header.pf.size = 32;
header.pf.flags = DDPF_FOURCC;
header.pf.fourcc = FOURCC_DXT1;
header.pf.bitcount = 0;
header.pf.rmask = 0;
header.pf.gmask = 0;
header.pf.bmask = 0;
header.pf.amask = 0;
header.caps.caps1 = DDSCAPS_TEXTURE;
header.caps.caps2 = 0;
header.caps.caps3 = 0;
header.caps.caps4 = 0;
header.notused = 0;
fwrite(&header, sizeof(DDSHeader), 1, fp);
fwrite(h_result, compressedSize, 1, fp);
fclose(fp);
// Make sure the generated image matches the reference image (regression check)
shrLog("\nComparing against Host/C++ computation...\n");
const char* reference_image_path = shrFindFilePath(refimage_filename, argv[0]);
oclCheckError(reference_image_path != NULL, shrTRUE);
// read in the reference image from file
#ifdef WIN32
fopen_s(&fp, reference_image_path, "rb");
#else
fp = fopen(reference_image_path, "rb");
#endif
oclCheckError(fp != NULL, shrTRUE);
fseek(fp, sizeof(DDSHeader), SEEK_SET);
uint referenceSize = (width / 4) * (height / 4) * 8;
uint * reference = (uint *)malloc(referenceSize);
fread(reference, referenceSize, 1, fp);
fclose(fp);
// compare the reference image data to the sample/generated image
float rms = 0;
for (uint y = 0; y < height; y += 4)
{
for (uint x = 0; x < width; x += 4)
{
// binary comparison of data
uint referenceBlockIdx = ((y/4) * (width/4) + (x/4));
uint resultBlockIdx = ((y/4) * (width/4) + (x/4));
int cmp = compareBlock(((BlockDXT1 *)h_result) + resultBlockIdx, ((BlockDXT1 *)reference) + referenceBlockIdx);
// log deviations, if any
if (cmp != 0.0f)
{
compareBlock(((BlockDXT1 *)h_result) + resultBlockIdx, ((BlockDXT1 *)reference) + referenceBlockIdx);
shrLog("Deviation at (%d, %d):\t%f rms\n", x/4, y/4, float(cmp)/16/3);
}
rms += cmp;
}
}
rms /= width * height * 3;
shrLog("RMS(reference, result) = %f\n\n", rms);
// Free OpenCL resources
oclDeleteMemObjs(cmMemObjs, 3);
clReleaseMemObject(cmAlphaTable4);
clReleaseMemObject(cmProds4);
clReleaseMemObject(cmAlphaTable3);
clReleaseMemObject(cmProds3);
clReleaseKernel(ckKernel);
clReleaseProgram(cpProgram);
clReleaseCommandQueue(cqCommandQueue);
clReleaseContext(cxGPUContext);
// Free host memory
free(source);
free(h_img);
// finish
shrQAFinishExit(argc, (const char **)argv, (rms <= ERROR_THRESHOLD) ? QA_PASSED : QA_FAILED);
}
bool fdtdGPU(float *output, const float *input, const float *coeff, const int dimx, const int dimy, const int dimz, const int radius, const int timesteps, const int argc, const char **argv)
{
bool ok = true;
const int outerDimx = dimx + 2 * radius;
const int outerDimy = dimy + 2 * radius;
const int outerDimz = dimz + 2 * radius;
const size_t volumeSize = outerDimx * outerDimy * outerDimz;
cl_context context = 0;
cl_platform_id platform = 0;
cl_device_id *devices = 0;
cl_command_queue commandQueue = 0;
cl_mem bufferOut = 0;
cl_mem bufferIn = 0;
cl_mem bufferCoeff = 0;
cl_program program = 0;
cl_kernel kernel = 0;
cl_event *kernelEvents = 0;
#ifdef GPU_PROFILING
cl_ulong kernelEventStart;
cl_ulong kernelEventEnd;
#endif
double hostElapsedTimeS;
char *cPathAndName = 0;
char *cSourceCL = 0;
size_t szKernelLength;
size_t globalWorkSize[2];
size_t localWorkSize[2];
cl_uint deviceCount = 0;
cl_uint targetDevice = 0;
cl_int errnum = 0;
char buildOptions[128];
// Ensure that the inner data starts on a 128B boundary
const int padding = (128 / sizeof(float)) - radius;
const size_t paddedVolumeSize = volumeSize + padding;
#ifdef GPU_PROFILING
const int profileTimesteps = timesteps - 1;
if (ok)
{
if (profileTimesteps < 1)
{
shrLog(" cannot profile with fewer than two timesteps (timesteps=%d), profiling is disabled.\n", timesteps);
}
}
#endif
// Get the NVIDIA platform
if (ok)
{
shrLog(" oclGetPlatformID...\n");
errnum = oclGetPlatformID(&platform);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("oclGetPlatformID (returned %d).\n", errnum);
ok = false;
}
}
// Get the list of GPU devices associated with the platform
if (ok)
{
shrLog(" clGetDeviceIDs");
errnum = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 0, NULL, &deviceCount);
devices = (cl_device_id *)malloc(deviceCount * sizeof(cl_device_id) );
errnum = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, deviceCount, devices, NULL);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clGetDeviceIDs (returned %d).\n", errnum);
ok = false;
}
}
// Create the OpenCL context
if (ok)
{
shrLog(" clCreateContext...\n");
context = clCreateContext(0, deviceCount, devices, NULL, NULL, &errnum);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clCreateContext (returned %d).\n", errnum);
ok = false;
}
}
// Select target device (device 0 by default)
if (ok)
{
char *device = 0;
if (shrGetCmdLineArgumentstr(argc, argv, "device", &device))
{
targetDevice = (cl_uint)atoi(device);
if (targetDevice >= deviceCount)
{
shrLogEx(LOGBOTH | ERRORMSG, -2001, STDERROR);
shrLog("invalid target device specified on command line (device %d does not exist).\n", targetDevice);
ok = false;
}
}
else
{
targetDevice = 0;
}
if (device)
{
free(device);
}
}
// Create a command-queue
if (ok)
{
shrLog(" clCreateCommandQueue\n");
commandQueue = clCreateCommandQueue(context, devices[targetDevice], CL_QUEUE_PROFILING_ENABLE, &errnum);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clCreateCommandQueue (returned %d).\n", errnum);
ok = false;
}
}
// Create memory buffer objects
if (ok)
{
shrLog(" clCreateBuffer bufferOut\n");
bufferOut = clCreateBuffer(context, CL_MEM_READ_WRITE, paddedVolumeSize * sizeof(float), NULL, &errnum);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clCreateBuffer (returned %d).\n", errnum);
ok = false;
}
}
if (ok)
{
shrLog(" clCreateBuffer bufferIn\n");
bufferIn = clCreateBuffer(context, CL_MEM_READ_WRITE, paddedVolumeSize * sizeof(float), NULL, &errnum);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clCreateBuffer (returned %d).\n", errnum);
ok = false;
}
}
if (ok)
{
shrLog(" clCreateBuffer bufferCoeff\n");
bufferCoeff = clCreateBuffer(context, CL_MEM_READ_ONLY, (radius + 1) * sizeof(float), NULL, &errnum);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clCreateBuffer (returned %d).\n", errnum);
ok = false;
}
}
// Load the kernel from file
if (ok)
{
shrLog(" shrFindFilePath\n");
cPathAndName = shrFindFilePath(clSourceFile, argv[0]);
if (cPathAndName == NULL)
{
shrLogEx(LOGBOTH | ERRORMSG, -2002, STDERROR);
shrLog("shrFindFilePath returned null.\n");
ok = false;
}
}
if (ok)
{
shrLog(" oclLoadProgSource\n");
cSourceCL = oclLoadProgSource(cPathAndName, "// Preamble\n", &szKernelLength);
if (cSourceCL == NULL)
{
shrLogEx(LOGBOTH | ERRORMSG, -2003, STDERROR);
shrLog("oclLoadProgSource returned null.\n");
ok = false;
}
}
// Create the program
if (ok)
{
shrLog(" clCreateProgramWithSource\n");
program = clCreateProgramWithSource(context, 1, (const char **)&cSourceCL, &szKernelLength, &errnum);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clCreateProgramWithSource (returned %d).\n", errnum);
ok = false;
}
}
// Check for a command-line specified work group size
size_t userWorkSize;
int localWorkMaxY;
if (ok)
{
int userWorkSizeInt;
if (shrGetCmdLineArgumenti(argc, argv, "work-group-size", &userWorkSizeInt))
{
// We can't clamp to CL_KERNEL_WORK_GROUP_SIZE yet since that is
// dependent on the build.
if (userWorkSizeInt < k_localWorkMin || userWorkSizeInt > k_localWorkMax)
{
shrLogEx(LOGBOTH | ERRORMSG, -2004, STDERROR);
shrLog("invalid work group size specified on command line (must be between %d and %d).\n", k_localWorkMin, k_localWorkMax);
ok = false;
}
// Constrain to a multiple of k_localWorkX
userWorkSize = (userWorkSizeInt / k_localWorkX * k_localWorkX);
}
else
{
userWorkSize = k_localWorkY * k_localWorkX;
}
// Divide by k_localWorkX (integer division to clamp)
localWorkMaxY = userWorkSize / k_localWorkX;
}
// Build the program
if (ok)
{
#ifdef WIN32
if (sprintf_s(buildOptions, sizeof(buildOptions), "-DRADIUS=%d -DMAXWORKX=%d -DMAXWORKY=%d -cl-fast-relaxed-math", radius, k_localWorkX, localWorkMaxY) < 0)
{
shrLogEx(LOGBOTH | ERRORMSG, -2005, STDERROR);
shrLog("sprintf_s (failed).\n");
ok = false;
}
#else
if (snprintf(buildOptions, sizeof(buildOptions), "-DRADIUS=%d -DMAXWORKX=%d -DMAXWORKY=%d -cl-fast-relaxed-math", radius, k_localWorkX, localWorkMaxY) < 0)
{
shrLogEx(LOGBOTH | ERRORMSG, -2005, STDERROR);
shrLog("snprintf (failed).\n");
ok = false;
}
#endif
}
if (ok)
{
shrLog(" clBuildProgram (%s)\n", buildOptions);
errnum = clBuildProgram(program, 0, NULL, buildOptions, NULL, NULL);
if (errnum != CL_SUCCESS)
{
char buildLog[10240];
clGetProgramBuildInfo(program, devices[0], CL_PROGRAM_BUILD_LOG, sizeof(buildLog), buildLog, NULL);
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clBuildProgram (returned %d).\n", errnum);
shrLog("Log:\n%s\n", buildLog);
ok = false;
}
}
// Create the kernel
if (ok)
{
shrLog(" clCreateKernel\n");
kernel = clCreateKernel(program, "FiniteDifferences", &errnum);
if (kernel == (cl_kernel)NULL || errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clCreateKernel (returned %d).\n", errnum);
ok = false;
}
}
// Get the maximum work group size
size_t maxWorkSize;
if (ok)
{
shrLog(" clGetKernelWorkGroupInfo\n");
errnum = clGetKernelWorkGroupInfo(kernel, devices[targetDevice], CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &maxWorkSize, NULL);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clGetKernelWorkGroupInfo (returned %d).\n", errnum);
ok = false;
}
}
// Set the work group size
if (ok)
{
userWorkSize = CLAMP(userWorkSize, k_localWorkMin, maxWorkSize);
localWorkSize[0] = k_localWorkX;
localWorkSize[1] = userWorkSize / k_localWorkX;
globalWorkSize[0] = localWorkSize[0] * (unsigned int)ceil((float)dimx / localWorkSize[0]);
globalWorkSize[1] = localWorkSize[1] * (unsigned int)ceil((float)dimy / localWorkSize[1]);
shrLog(" set local work group size to %dx%d\n", localWorkSize[0], localWorkSize[1]);
shrLog(" set total work size to %dx%d\n", globalWorkSize[0], globalWorkSize[1]);
}
// Copy the input to the device input buffer
if (ok)
{
shrLog(" clEnqueueWriteBuffer bufferIn\n");
errnum = clEnqueueWriteBuffer(commandQueue, bufferIn, CL_TRUE, padding * sizeof(float), volumeSize * sizeof(float), input, 0, NULL, NULL);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clEnqueueWriteBuffer bufferIn (returned %d).\n", errnum);
ok = false;
}
}
// Copy the input to the device output buffer (actually only need the halo)
if (ok)
{
shrLog(" clEnqueueWriteBuffer bufferOut\n");
errnum = clEnqueueWriteBuffer(commandQueue, bufferOut, CL_TRUE, padding * sizeof(float), volumeSize * sizeof(float), input, 0, NULL, NULL);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clEnqueueWriteBuffer bufferOut (returned %d).\n", errnum);
ok = false;
}
}
// Copy the coefficients to the device coefficient buffer
if (ok)
{
shrLog(" clEnqueueWriteBuffer bufferCoeff\n");
errnum = clEnqueueWriteBuffer(commandQueue, bufferCoeff, CL_TRUE, 0, (radius + 1) * sizeof(float), coeff, 0, NULL, NULL);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clEnqueueWriteBuffer bufferCoeff (returned %d).\n", errnum);
ok = false;
}
}
// Allocate the events
if (ok)
{
shrLog(" calloc events\n");
if ((kernelEvents = (cl_event *)calloc(timesteps, sizeof(cl_event))) == NULL)
{
shrLogEx(LOGBOTH | ERRORMSG, -2006, STDERROR);
shrLog("Insufficient memory for events calloc, please try a smaller volume (use --help for syntax).\n");
ok = false;
}
}
// Start the clock
shrDeltaT(0);
// Set the constant arguments
if (ok)
{
shrLog(" clSetKernelArg 2-6\n");
errnum = clSetKernelArg(kernel, 2, sizeof(cl_mem), (void *)&bufferCoeff);
errnum |= clSetKernelArg(kernel, 3, sizeof(int), &dimx);
errnum |= clSetKernelArg(kernel, 4, sizeof(int), &dimy);
errnum |= clSetKernelArg(kernel, 5, sizeof(int), &dimz);
errnum |= clSetKernelArg(kernel, 6, sizeof(int), &padding);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clSetKernelArg 2-6 (returned %d).\n", errnum);
ok = false;
}
}
// Execute the FDTD
cl_mem bufferSrc = bufferIn;
cl_mem bufferDst = bufferOut;
if (ok)
{
shrLog(" GPU FDTD loop\n");
}
for (int it = 0 ; ok && it < timesteps ; it++)
{
shrLog("\tt = %d ", it);
// Set the dynamic arguments
if (ok)
{
shrLog(" clSetKernelArg 0-1,");
errnum = clSetKernelArg(kernel, 0, sizeof(cl_mem), (void *)&bufferDst);
errnum |= clSetKernelArg(kernel, 1, sizeof(cl_mem), (void *)&bufferSrc);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clSetKernelArg 0-1 (returned %d).\n", errnum);
ok = false;
}
}
// Launch the kernel
if (ok)
{
shrLog(" clEnqueueNDRangeKernel\n");
errnum = clEnqueueNDRangeKernel(commandQueue, kernel, 2, NULL, globalWorkSize, localWorkSize, 0, NULL, &kernelEvents[it]);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clEnqueueNDRangeKernel (returned %d).\n", errnum);
ok = false;
}
}
// Toggle the buffers
cl_mem tmp = bufferSrc;
bufferSrc = bufferDst;
bufferDst = tmp;
}
if (ok)
shrLog("\n");
// Wait for the kernel to complete
if (ok)
{
shrLog(" clWaitForEvents\n");
errnum = clWaitForEvents(1, &kernelEvents[timesteps-1]);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clWaitForEvents (returned %d).\n", errnum);
ok = false;
}
}
// Stop the clock
hostElapsedTimeS = shrDeltaT(0);
// Read the result back, result is in bufferSrc (after final toggle)
if (ok)
{
shrLog(" clEnqueueReadBuffer\n");
errnum = clEnqueueReadBuffer(commandQueue, bufferSrc, CL_TRUE, padding * sizeof(float), volumeSize * sizeof(float), output, 0, NULL, NULL);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clEnqueueReadBuffer bufferSrc (returned %d).\n", errnum);
ok = false;
}
}
// Report time
#ifdef GPU_PROFILING
double elapsedTime = 0.0;
if (ok && profileTimesteps > 0)
shrLog(" Collect profile information\n");
for (int it = 1 ; ok && it <= profileTimesteps ; it++)
{
shrLog("\tt = %d ", it);
shrLog(" clGetEventProfilingInfo,", it);
errnum = clGetEventProfilingInfo(kernelEvents[it], CL_PROFILING_COMMAND_START, sizeof(cl_ulong), &kernelEventStart, NULL);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clGetEventProfilingInfo (returned %d).\n", errnum);
ok = false;
}
shrLog(" clGetEventProfilingInfo\n", it);
errnum = clGetEventProfilingInfo(kernelEvents[it], CL_PROFILING_COMMAND_END, sizeof(cl_ulong), &kernelEventEnd, NULL);
if (errnum != CL_SUCCESS)
{
shrLogEx(LOGBOTH | ERRORMSG, errnum, STDERROR);
shrLog("clGetEventProfilingInfo (returned %d).\n", errnum);
ok = false;
}
elapsedTime += (double)kernelEventEnd - (double)kernelEventStart;
}
if (ok && profileTimesteps > 0)
{
shrLog("\n");
// Convert nanoseconds to seconds
elapsedTime *= 1.0e-9;
double avgElapsedTime = elapsedTime / (double)profileTimesteps;
// Determine number of computations per timestep
size_t pointsComputed = dimx * dimy * dimz;
// Determine throughput
double throughputM = 1.0e-6 * (double)pointsComputed / avgElapsedTime;
shrLogEx(LOGBOTH | MASTER, 0, "oclFDTD3d, Throughput = %.4f MPoints/s, Time = %.5f s, Size = %u Points, NumDevsUsed = %i, Workgroup = %u\n",
throughputM, avgElapsedTime, pointsComputed, 1, localWorkSize[0] * localWorkSize[1]);
}
#endif
// Cleanup
if (kernelEvents)
{
for (int it = 0 ; it < timesteps ; it++)
{
if (kernelEvents[it])
clReleaseEvent(kernelEvents[it]);
}
free(kernelEvents);
}
if (kernel)
clReleaseKernel(kernel);
if (program)
clReleaseProgram(program);
if (cSourceCL)
free(cSourceCL);
if (cPathAndName)
free(cPathAndName);
if (bufferCoeff)
clReleaseMemObject(bufferCoeff);
if (bufferIn)
clReleaseMemObject(bufferIn);
if (bufferOut)
clReleaseMemObject(bufferOut);
if (commandQueue)
clReleaseCommandQueue(commandQueue);
if (devices)
free(devices);
if (context)
clReleaseContext(context);
return ok;
}
////////////////////////////////////////////////////////////////////////////////
// Program main
////////////////////////////////////////////////////////////////////////////////
int main(int argc, char **argv)
{
shrQAStart(argc, argv);
// start logs
shrSetLogFileName ("oclSimpleMultiGPU.txt");
shrLog("%s Starting, Array = %u float values...\n\n", argv[0], DATA_N);
// OpenCL
cl_platform_id cpPlatform;
cl_uint ciDeviceCount;
cl_device_id* cdDevices;
cl_context cxGPUContext;
cl_device_id cdDevice; // GPU device
int deviceNr[MAX_GPU_COUNT];
cl_command_queue commandQueue[MAX_GPU_COUNT];
cl_mem d_Data[MAX_GPU_COUNT];
cl_mem d_Result[MAX_GPU_COUNT];
cl_program cpProgram;
cl_kernel reduceKernel[MAX_GPU_COUNT];
cl_event GPUDone[MAX_GPU_COUNT];
cl_event GPUExecution[MAX_GPU_COUNT];
size_t programLength;
cl_int ciErrNum;
char cDeviceName [256];
cl_mem h_DataBuffer;
// Vars for reduction results
float h_SumGPU[MAX_GPU_COUNT * ACCUM_N];
float *h_Data;
double sumGPU;
double sumCPU, dRelError;
// allocate and init host buffer with with some random generated input data
h_Data = (float *)malloc(DATA_N * sizeof(float));
shrFillArray(h_Data, DATA_N);
// start timer & logs
shrLog("Setting up OpenCL on the Host...\n\n");
shrDeltaT(1);
// Annotate profiling state
#ifdef GPU_PROFILING
shrLog("OpenCL Profiling is enabled...\n\n");
#endif
//Get the NVIDIA platform
ciErrNum = oclGetPlatformID(&cpPlatform);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clGetPlatformID...\n");
//Get the devices
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, 0, NULL, &ciDeviceCount);
oclCheckError(ciErrNum, CL_SUCCESS);
cdDevices = (cl_device_id *)malloc(ciDeviceCount * sizeof(cl_device_id) );
ciErrNum = clGetDeviceIDs(cpPlatform, CL_DEVICE_TYPE_GPU, ciDeviceCount, cdDevices, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clGetDeviceIDs...\n");
//Create the context
cxGPUContext = clCreateContext(0, ciDeviceCount, cdDevices, NULL, NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clCreateContext...\n");
// Set up command queue(s) for GPU's specified on the command line or all GPU's
if(shrCheckCmdLineFlag(argc, (const char **)argv, "device"))
{
// User specified GPUs
int ciMaxDeviceID = ciDeviceCount-1;
ciDeviceCount = 0;
char* deviceList;
char* deviceStr;
char* next_token;
shrGetCmdLineArgumentstr(argc, (const char **)argv, "device", &deviceList);
#ifdef WIN32
deviceStr = strtok_s (deviceList," ,.-", &next_token);
#else
deviceStr = strtok (deviceList," ,.-");
#endif
// Create command queues for all Requested GPU's
while(deviceStr != NULL)
{
// get & log device index # and name
deviceNr[ciDeviceCount] = atoi(deviceStr);
if( deviceNr[ciDeviceCount] > ciMaxDeviceID ) {
shrLog(" Invalid user specified device ID: %d\n", deviceNr[ciDeviceCount]);
return 1;
}
cdDevice = oclGetDev(cxGPUContext, deviceNr[ciDeviceCount]);
ciErrNum = clGetDeviceInfo(cdDevice, CL_DEVICE_NAME, sizeof(cDeviceName), cDeviceName, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog(" Device %i: %s\n\n", deviceNr[ciDeviceCount], cDeviceName);
// create a command que
commandQueue[ciDeviceCount] = clCreateCommandQueue(cxGPUContext, cdDevice, CL_QUEUE_PROFILING_ENABLE, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clCreateCommandQueue\n");
++ciDeviceCount;
#ifdef WIN32
deviceStr = strtok_s (NULL," ,.-", &next_token);
#else
deviceStr = strtok (NULL," ,.-");
#endif
}
free(deviceList);
}
else
{
// Find out how many GPU's to compute on all available GPUs
size_t nDeviceBytes;
ciErrNum = clGetContextInfo(cxGPUContext, CL_CONTEXT_DEVICES, 0, NULL, &nDeviceBytes);
oclCheckError(ciErrNum, CL_SUCCESS);
ciDeviceCount = (cl_uint)nDeviceBytes/sizeof(cl_device_id);
for(unsigned int i = 0; i < ciDeviceCount; ++i )
{
// get & log device index # and name
deviceNr[i] = i;
cdDevice = oclGetDev(cxGPUContext, i);
ciErrNum = clGetDeviceInfo(cdDevice, CL_DEVICE_NAME, sizeof(cDeviceName), cDeviceName, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog(" Device %i: %s\n", i, cDeviceName);
// create a command que
commandQueue[i] = clCreateCommandQueue(cxGPUContext, cdDevice, CL_QUEUE_PROFILING_ENABLE, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clCreateCommandQueue\n\n");
}
}
// Load the OpenCL source code from the .cl file
const char* source_path = shrFindFilePath("simpleMultiGPU.cl", argv[0]);
char *source = oclLoadProgSource(source_path, "", &programLength);
oclCheckError(source != NULL, shrTRUE);
shrLog("oclLoadProgSource\n");
// Create the program for all GPUs in the context
cpProgram = clCreateProgramWithSource(cxGPUContext, 1, (const char **)&source, &programLength, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clCreateProgramWithSource\n");
// build the program
ciErrNum = clBuildProgram(cpProgram, 0, NULL, "-cl-fast-relaxed-math", NULL, NULL);
if (ciErrNum != CL_SUCCESS)
{
// write out standard error, Build Log and PTX, then cleanup and exit
shrLogEx(LOGBOTH | ERRORMSG, ciErrNum, STDERROR);
oclLogBuildInfo(cpProgram, oclGetFirstDev(cxGPUContext));
oclLogPtx(cpProgram, oclGetFirstDev(cxGPUContext), "oclSimpleMultiGPU.ptx");
oclCheckError(ciErrNum, CL_SUCCESS);
}
shrLog("clBuildProgram\n");
// Create host buffer with page-locked memory
h_DataBuffer = clCreateBuffer(cxGPUContext, CL_MEM_COPY_HOST_PTR | CL_MEM_ALLOC_HOST_PTR,
DATA_N * sizeof(float), h_Data, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clCreateBuffer (Page-locked Host)\n\n");
// Create buffers for each GPU, with data divided evenly among GPU's
int sizePerGPU = DATA_N / ciDeviceCount;
int workOffset[MAX_GPU_COUNT];
int workSize[MAX_GPU_COUNT];
workOffset[0] = 0;
for(unsigned int i = 0; i < ciDeviceCount; ++i )
{
workSize[i] = (i != (ciDeviceCount - 1)) ? sizePerGPU : (DATA_N - workOffset[i]);
// Input buffer
d_Data[i] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, workSize[i] * sizeof(float), NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clCreateBuffer (Input)\t\tDev %i\n", i);
// Copy data from host to device
ciErrNum = clEnqueueCopyBuffer(commandQueue[i], h_DataBuffer, d_Data[i], workOffset[i] * sizeof(float),
0, workSize[i] * sizeof(float), 0, NULL, NULL);
shrLog("clEnqueueCopyBuffer (Input)\tDev %i\n", i);
// Output buffer
d_Result[i] = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, ACCUM_N * sizeof(float), NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clCreateBuffer (Output)\t\tDev %i\n", i);
// Create kernel
reduceKernel[i] = clCreateKernel(cpProgram, "reduce", &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clCreateKernel\t\t\tDev %i\n", i);
// Set the args values and check for errors
ciErrNum |= clSetKernelArg(reduceKernel[i], 0, sizeof(cl_mem), &d_Result[i]);
ciErrNum |= clSetKernelArg(reduceKernel[i], 1, sizeof(cl_mem), &d_Data[i]);
ciErrNum |= clSetKernelArg(reduceKernel[i], 2, sizeof(int), &workSize[i]);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("clSetKernelArg\t\t\tDev %i\n\n", i);
workOffset[i + 1] = workOffset[i] + workSize[i];
}
// Set # of work items in work group and total in 1 dimensional range
size_t localWorkSize[] = {THREAD_N};
size_t globalWorkSize[] = {ACCUM_N};
// Start timer and launch reduction kernel on each GPU, with data split between them
shrLog("Launching Kernels on GPU(s)...\n\n");
for(unsigned int i = 0; i < ciDeviceCount; i++)
{
ciErrNum = clEnqueueNDRangeKernel(commandQueue[i], reduceKernel[i], 1, 0, globalWorkSize, localWorkSize,
0, NULL, &GPUExecution[i]);
oclCheckError(ciErrNum, CL_SUCCESS);
}
// Copy result from device to host for each device
for(unsigned int i = 0; i < ciDeviceCount; i++)
{
ciErrNum = clEnqueueReadBuffer(commandQueue[i], d_Result[i], CL_FALSE, 0, ACCUM_N * sizeof(float),
h_SumGPU + i * ACCUM_N, 0, NULL, &GPUDone[i]);
oclCheckError(ciErrNum, CL_SUCCESS);
}
// Synchronize with the GPUs and do accumulated error check
clWaitForEvents(ciDeviceCount, GPUDone);
shrLog("clWaitForEvents complete...\n\n");
// Aggregate results for multiple GPU's and stop/log processing time
sumGPU = 0;
for(unsigned int i = 0; i < ciDeviceCount * ACCUM_N; i++)
{
sumGPU += h_SumGPU[i];
}
// Print Execution Times for each GPU
#ifdef GPU_PROFILING
shrLog("Profiling Information for GPU Processing:\n\n");
for(unsigned int i = 0; i < ciDeviceCount; i++)
{
cdDevice = oclGetDev(cxGPUContext, deviceNr[i]);
clGetDeviceInfo(cdDevice, CL_DEVICE_NAME, sizeof(cDeviceName), cDeviceName, NULL);
shrLog("Device %i : %s\n", deviceNr[i], cDeviceName);
shrLog(" Reduce Kernel : %.5f s\n", executionTime(GPUExecution[i]));
shrLog(" Copy Device->Host : %.5f s\n\n\n", executionTime(GPUDone[i]));
}
#endif
// Run the computation on the Host CPU and log processing time
shrLog("Launching Host/CPU C++ Computation...\n\n");
sumCPU = 0;
for(unsigned int i = 0; i < DATA_N; i++)
{
sumCPU += h_Data[i];
}
// Check GPU result against CPU result
dRelError = 100.0 * fabs(sumCPU - sumGPU) / fabs(sumCPU);
shrLog("Comparing against Host/C++ computation...\n");
shrLog(" GPU sum: %f\n CPU sum: %f\n", sumGPU, sumCPU);
shrLog(" Relative Error (100.0 * Error / Golden) = %f \n\n", dRelError);
// cleanup
free(source);
free(h_Data);
for(unsigned int i = 0; i < ciDeviceCount; ++i )
{
clReleaseKernel(reduceKernel[i]);
clReleaseCommandQueue(commandQueue[i]);
}
clReleaseProgram(cpProgram);
clReleaseContext(cxGPUContext);
// finish
shrQAFinishExit(argc, (const char **)argv, (dRelError < 1e-4) ? QA_PASSED : QA_FAILED);
}
void matrixMulGPU(cl_uint ciDeviceCount, cl_mem h_A, float* h_B_data, unsigned int mem_size_B, float* h_C )
{
cl_mem d_A[MAX_GPU_COUNT];
cl_mem d_C[MAX_GPU_COUNT];
cl_mem d_B[MAX_GPU_COUNT];
cl_event GPUDone[MAX_GPU_COUNT];
cl_event GPUExecution[MAX_GPU_COUNT];
// Start the computation on each available GPU
// Create buffers for each GPU
// Each GPU will compute sizePerGPU rows of the result
int sizePerGPU = uiHA / ciDeviceCount;
int workOffset[MAX_GPU_COUNT];
int workSize[MAX_GPU_COUNT];
workOffset[0] = 0;
for(unsigned int i=0; i < ciDeviceCount; ++i)
{
// Input buffer
workSize[i] = (i != (ciDeviceCount - 1)) ? sizePerGPU : (uiHA - workOffset[i]);
d_A[i] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY, workSize[i] * sizeof(float) * uiWA, NULL,NULL);
// Copy only assigned rows from host to device
clEnqueueCopyBuffer(commandQueue[i], h_A, d_A[i], workOffset[i] * sizeof(float) * uiWA,
0, workSize[i] * sizeof(float) * uiWA, 0, NULL, NULL);
// create OpenCL buffer on device that will be initiatlize from the host memory on first use
// on device
d_B[i] = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR,
mem_size_B, h_B_data, NULL);
// Output buffer
d_C[i] = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, workSize[i] * uiWC * sizeof(float), NULL,NULL);
// set the args values
clSetKernelArg(multiplicationKernel[i], 0, sizeof(cl_mem), (void *) &d_C[i]);
clSetKernelArg(multiplicationKernel[i], 1, sizeof(cl_mem), (void *) &d_A[i]);
clSetKernelArg(multiplicationKernel[i], 2, sizeof(cl_mem), (void *) &d_B[i]);
clSetKernelArg(multiplicationKernel[i], 3, sizeof(float) * BLOCK_SIZE *BLOCK_SIZE, 0 );
clSetKernelArg(multiplicationKernel[i], 4, sizeof(float) * BLOCK_SIZE *BLOCK_SIZE, 0 );
clSetKernelArg(multiplicationKernel[i], 5, sizeof(cl_int), (void *) &uiWA);
clSetKernelArg(multiplicationKernel[i], 6, sizeof(cl_int), (void *) &uiWB);
if(i+1 < ciDeviceCount)
workOffset[i + 1] = workOffset[i] + workSize[i];
}
// Execute Multiplication on all GPUs in parallel
size_t localWorkSize[] = {BLOCK_SIZE, BLOCK_SIZE};
size_t globalWorkSize[] = {shrRoundUp(BLOCK_SIZE, uiWC), shrRoundUp(BLOCK_SIZE, workSize[0])};
// Launch kernels on devices
#ifdef GPU_PROFILING
int nIter = 30;
for (int j = -1; j < nIter; j++)
{
// Sync all queues to host and start timer first time through loop
if(j == 0){
for(unsigned int i = 0; i < ciDeviceCount; i++)
{
clFinish(commandQueue[i]);
}
shrDeltaT(0);
}
#endif
for(unsigned int i = 0; i < ciDeviceCount; i++)
{
// Multiplication - non-blocking execution: launch and push to device(s)
globalWorkSize[1] = shrRoundUp(BLOCK_SIZE, workSize[i]);
clEnqueueNDRangeKernel(commandQueue[i], multiplicationKernel[i], 2, 0, globalWorkSize, localWorkSize,
0, NULL, &GPUExecution[i]);
clFlush(commandQueue[i]);
}
#ifdef GPU_PROFILING
}
#endif
// sync all queues to host
for(unsigned int i = 0; i < ciDeviceCount; i++)
{
clFinish(commandQueue[i]);
}
#ifdef GPU_PROFILING
// stop and log timer
double dSeconds = shrDeltaT(0)/(double)nIter;
double dNumOps = 2.0 * (double)uiWA * (double)uiHA * (double)uiWB;
double gflops = 1.0e-9 * dNumOps/dSeconds;
shrLogEx(LOGBOTH | MASTER, 0, "oclMatrixMul, Throughput = %.4f GFlops/s, Time = %.5f s, Size = %.0f, NumDevsUsed = %d, Workgroup = %u\n",
gflops, dSeconds, dNumOps, ciDeviceCount, localWorkSize[0] * localWorkSize[1]);
// Print kernel timing per GPU
shrLog("\n");
for(unsigned int i = 0; i < ciDeviceCount; i++)
{
shrLog(" Kernel execution time on GPU %d \t: %.5f s\n", i, executionTime(GPUExecution[i]));
}
shrLog("\n");
#endif
for(unsigned int i = 0; i < ciDeviceCount; i++)
{
// Non-blocking copy of result from device to host
clEnqueueReadBuffer(commandQueue[i], d_C[i], CL_FALSE, 0, uiWC * sizeof(float) * workSize[i],
h_C + workOffset[i] * uiWC, 0, NULL, &GPUDone[i]);
}
// CPU sync with GPU
clWaitForEvents(ciDeviceCount, GPUDone);
// Release mem and event objects
for(unsigned int i = 0; i < ciDeviceCount; i++)
{
clReleaseMemObject(d_A[i]);
clReleaseMemObject(d_C[i]);
clReleaseMemObject(d_B[i]);
clReleaseEvent(GPUExecution[i]);
clReleaseEvent(GPUDone[i]);
}
}
////////////////////////////////////////////////////////////////////////////////
// Main program
////////////////////////////////////////////////////////////////////////////////
int main(int argc, char **argv)
{
cl_platform_id cpPlatform; //OpenCL platform
cl_device_id cdDevice; //OpenCL device
cl_context cxGPUContext; //OpenCL context
cl_command_queue cqCommandQueue; //OpenCL command que
cl_mem d_Input, d_Output; //OpenCL memory buffer objects
cl_int ciErrNum;
float *h_Input, *h_OutputCPU, *h_OutputGPU;
const uint
imageW = 2048,
imageH = 2048,
stride = 2048;
const int dir = DCT_FORWARD;
shrQAStart(argc, argv);
int use_gpu = 0;
for(int i = 0; i < argc && argv; i++)
{
if(!argv[i])
continue;
if(strstr(argv[i], "cpu"))
use_gpu = 0;
else if(strstr(argv[i], "gpu"))
use_gpu = 1;
}
// set logfile name and start logs
shrSetLogFileName ("oclDCT8x8.txt");
shrLog("%s Starting...\n\n", argv[0]);
shrLog("Allocating and initializing host memory...\n");
h_Input = (float *)malloc(imageH * stride * sizeof(float));
h_OutputCPU = (float *)malloc(imageH * stride * sizeof(float));
h_OutputGPU = (float *)malloc(imageH * stride * sizeof(float));
srand(2009);
for(uint i = 0; i < imageH; i++)
for(uint j = 0; j < imageW; j++)
h_Input[i * stride + j] = (float)rand() / (float)RAND_MAX;
shrLog("Initializing OpenCL...\n");
//Get the NVIDIA platform
ciErrNum = oclGetPlatformID(&cpPlatform);
oclCheckError(ciErrNum, CL_SUCCESS);
//Get a GPU device
ciErrNum = clGetDeviceIDs(cpPlatform, use_gpu?CL_DEVICE_TYPE_GPU:CL_DEVICE_TYPE_CPU, 1, &cdDevice, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
//Create the context
cxGPUContext = clCreateContext(0, 1, &cdDevice, NULL, NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
//Create a command-queue
cqCommandQueue = clCreateCommandQueue(cxGPUContext, cdDevice, CL_QUEUE_PROFILING_ENABLE, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("Initializing OpenCL DCT 8x8...\n");
initDCT8x8(cxGPUContext, cqCommandQueue, (const char **)argv);
shrLog("Creating OpenCL memory objects...\n");
d_Input = clCreateBuffer(cxGPUContext, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, imageH * stride * sizeof(cl_float), h_Input, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
d_Output = clCreateBuffer(cxGPUContext, CL_MEM_WRITE_ONLY, imageH * stride * sizeof(cl_float), NULL, &ciErrNum);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("Performing DCT8x8 of %u x %u image...\n\n", imageH, imageW);
//Just a single iteration or a warmup iteration
DCT8x8(
cqCommandQueue,
d_Output,
d_Input,
stride,
imageH,
imageW,
dir
);
#ifdef GPU_PROFILING
const int numIterations = 16;
cl_event startMark, endMark;
ciErrNum = clEnqueueMarker(cqCommandQueue, &startMark);
ciErrNum |= clFinish(cqCommandQueue);
shrCheckError(ciErrNum, CL_SUCCESS);
shrDeltaT(0);
for(int iter = 0; iter < numIterations; iter++)
DCT8x8(
NULL,
d_Output,
d_Input,
stride,
imageH,
imageW,
dir
);
ciErrNum = clEnqueueMarker(cqCommandQueue, &endMark);
ciErrNum |= clFinish(cqCommandQueue);
shrCheckError(ciErrNum, CL_SUCCESS);
//Calculate performance metrics by wallclock time
double gpuTime = shrDeltaT(0) / (double)numIterations;
shrLogEx(LOGBOTH | MASTER, 0, "oclDCT8x8, Throughput = %.4f MPixels/s, Time = %.5f s, Size = %u Pixels, NumDevsUsed = %i, Workgroup = %u\n",
(1.0e-6 * (double)(imageW * imageH)/ gpuTime), gpuTime, (imageW * imageH), 1, 0);
//Get profiler time
cl_ulong startTime = 0, endTime = 0;
ciErrNum = clGetEventProfilingInfo(startMark, CL_PROFILING_COMMAND_END, sizeof(cl_ulong), &startTime, NULL);
ciErrNum |= clGetEventProfilingInfo(endMark, CL_PROFILING_COMMAND_END, sizeof(cl_ulong), &endTime, NULL);
shrCheckError(ciErrNum, CL_SUCCESS);
shrLog("\nOpenCL time: %.5f s\n\n", 1.0e-9 * ((double)endTime - (double)startTime) / (double)numIterations);
#endif
shrLog("Reading back OpenCL results...\n");
ciErrNum = clEnqueueReadBuffer(cqCommandQueue, d_Output, CL_TRUE, 0, imageH * stride * sizeof(cl_float), h_OutputGPU, 0, NULL, NULL);
oclCheckError(ciErrNum, CL_SUCCESS);
shrLog("Comparing against Host/C++ computation...\n");
DCT8x8CPU(h_OutputCPU, h_Input, stride, imageH, imageW, dir);
double sum = 0, delta = 0;
double L2norm;
for(uint i = 0; i < imageH; i++)
for(uint j = 0; j < imageW; j++){
sum += h_OutputCPU[i * stride + j] * h_OutputCPU[i * stride + j];
delta += (h_OutputGPU[i * stride + j] - h_OutputCPU[i * stride + j]) * (h_OutputGPU[i * stride + j] - h_OutputCPU[i * stride + j]);
}
L2norm = sqrt(delta / sum);
shrLog("Relative L2 norm: %.3e\n\n", L2norm);
shrLog("Shutting down...\n");
//Release kernels and program
closeDCT8x8();
//Release other OpenCL objects
ciErrNum = clReleaseMemObject(d_Output);
ciErrNum |= clReleaseMemObject(d_Input);
ciErrNum |= clReleaseCommandQueue(cqCommandQueue);
ciErrNum |= clReleaseContext(cxGPUContext);
oclCheckError(ciErrNum, CL_SUCCESS);
//Release host buffers
free(h_OutputGPU);
free(h_OutputCPU);
free(h_Input);
//Finish
shrQAFinishExit(argc, (const char **)argv, (L2norm < 1E-6) ? QA_PASSED : QA_FAILED);
}
