func WaitForEvents(event_list []Event) error {
numEvents := cl.CL_uint(len(event_list))
events := make([]cl.CL_event, numEvents)
for i := cl.CL_uint(0); i < numEvents; i++ {
events[i] = event_list[i].GetID()
}
if errCode := cl.CLWaitForEvents(numEvents, events); errCode != cl.CL_SUCCESS {
return fmt.Errorf("WaitForEvents failure with errcode_ret %d: %s", errCode, cl.ERROR_CODES_STRINGS[-errCode])
} else {
return nil
}
}
func main() {
// Use this to check the output of each API call
var status cl.CL_int
//-----------------------------------------------------
// STEP 1: Discover and initialize the platforms
//-----------------------------------------------------
var numPlatforms cl.CL_uint
var platforms []cl.CL_platform_id
// Use clGetPlatformIDs() to retrieve the number of
// platforms
status = cl.CLGetPlatformIDs(0, nil, &numPlatforms)
// Allocate enough space for each platform
platforms = make([]cl.CL_platform_id, numPlatforms)
// Fill in platforms with clGetPlatformIDs()
status = cl.CLGetPlatformIDs(numPlatforms, platforms, nil)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "CLGetPlatformIDs")
//-----------------------------------------------------
// STEP 2: Discover and initialize the GPU devices
//-----------------------------------------------------
var numDevices cl.CL_uint
var devices []cl.CL_device_id
// Use clGetDeviceIDs() to retrieve the number of
// devices present
status = cl.CLGetDeviceIDs(platforms[0],
cl.CL_DEVICE_TYPE_GPU,
0,
nil,
&numDevices)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "CLGetDeviceIDs")
// Allocate enough space for each device
devices = make([]cl.CL_device_id, numDevices)
// Fill in devices with clGetDeviceIDs()
status = cl.CLGetDeviceIDs(platforms[0],
cl.CL_DEVICE_TYPE_GPU,
numDevices,
devices,
nil)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "CLGetDeviceIDs")
//-----------------------------------------------------
// STEP 3: Create a context
//-----------------------------------------------------
var context cl.CL_context
// Create a context using clCreateContext() and
// associate it with the devices
context = cl.CLCreateContext(nil,
numDevices,
devices,
nil,
nil,
&status)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "CLCreateContext")
defer cl.CLReleaseContext(context)
//-----------------------------------------------------
// STEP 4: Create a command queue
//-----------------------------------------------------
var commandQueue [MAX_COMMAND_QUEUE]cl.CL_command_queue
// Create a command queue using clCreateCommandQueueWithProperties(),
// and associate it with the device you want to execute
for i := 0; i < MAX_COMMAND_QUEUE; i++ {
commandQueue[i] = cl.CLCreateCommandQueueWithProperties(context,
devices[0],
nil,
&status)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "CLCreateCommandQueueWithProperties")
defer cl.CLReleaseCommandQueue(commandQueue[i])
}
//-----------------------------------------------------
// STEP 5: Create device buffers
//-----------------------------------------------------
producerGroupSize := cl.CL_size_t(PRODUCER_GROUP_SIZE)
producerGlobalSize := cl.CL_size_t(PRODUCER_GLOBAL_SIZE)
consumerGroupSize := cl.CL_size_t(CONSUMER_GROUP_SIZE)
consumerGlobalSize := cl.CL_size_t(CONSUMER_GLOBAL_SIZE)
var samplePipePkt [2]cl.CL_float
szPipe := cl.CL_uint(PIPE_SIZE)
szPipePkt := cl.CL_uint(unsafe.Sizeof(samplePipePkt))
if szPipe%PRNG_CHANNELS != 0 {
szPipe = (szPipe/PRNG_CHANNELS)*PRNG_CHANNELS + PRNG_CHANNELS
}
consumerGlobalSize = cl.CL_size_t(szPipe)
pipePktPerThread := cl.CL_int(szPipe) / PRNG_CHANNELS
seed := cl.CL_int(SEED)
rngType := cl.CL_int(RV_GAUSSIAN)
var histMin cl.CL_float
var histMax cl.CL_float
if rngType == cl.CL_int(RV_UNIFORM) {
histMin = 0.0
histMax = 1.0
} else {
histMin = -10.0
histMax = 10.0
}
localDevHist := make([]cl.CL_int, MAX_HIST_BINS)
cpuHist := make([]cl.CL_int, MAX_HIST_BINS)
//Create and initialize memory objects
rngPipe := cl.CLCreatePipe(context,
cl.CL_MEM_READ_WRITE,
szPipePkt,
szPipe,
nil,
&status)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clCreatePipe")
devHist := cl.CLCreateBuffer(context,
cl.CL_MEM_READ_WRITE|cl.CL_MEM_COPY_HOST_PTR,
MAX_HIST_BINS*cl.CL_size_t(unsafe.Sizeof(localDevHist[0])),
unsafe.Pointer(&localDevHist[0]),
&status)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clCreateBuffer")
//-----------------------------------------------------
// STEP 6: Create and compile the program
//-----------------------------------------------------
programSource, programeSize := utils.Load_programsource("pipe.cl")
// Create a program using clCreateProgramWithSource()
program := cl.CLCreateProgramWithSource(context,
1,
programSource[:],
programeSize[:],
&status)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "CLCreateProgramWithSource")
defer cl.CLReleaseProgram(program)
// Build (compile) the program for the devices with
// clBuildProgram()
options := "-cl-std=CL2.0"
status = cl.CLBuildProgram(program,
numDevices,
devices,
[]byte(options),
nil,
nil)
if status != cl.CL_SUCCESS {
var program_log interface{}
var log_size cl.CL_size_t
/* Find size of log and print to std output */
cl.CLGetProgramBuildInfo(program, devices[0], cl.CL_PROGRAM_BUILD_LOG,
0, nil, &log_size)
cl.CLGetProgramBuildInfo(program, devices[0], cl.CL_PROGRAM_BUILD_LOG,
log_size, &program_log, nil)
fmt.Printf("%s\n", program_log)
return
}
//utils.CHECK_STATUS(status, cl.CL_SUCCESS, "CLBuildProgram")
//-----------------------------------------------------
// STEP 7: Create the kernel
//-----------------------------------------------------
// Use clCreateKernel() to create a kernel
produceKernel := cl.CLCreateKernel(program, []byte("pipe_producer"), &status)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "CLCreateKernel")
defer cl.CLReleaseKernel(produceKernel)
consumeKernel := cl.CLCreateKernel(program, []byte("pipe_consumer"), &status)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "CLCreateKernel")
defer cl.CLReleaseKernel(consumeKernel)
//-----------------------------------------------------
// STEP 8: Set the kernel arguments
//-----------------------------------------------------
// Associate the input and output buffers with the
// kernel
// using clSetKernelArg()
// Set appropriate arguments to the kernel
status = cl.CLSetKernelArg(produceKernel,
0,
cl.CL_size_t(unsafe.Sizeof(rngPipe)),
unsafe.Pointer(&rngPipe))
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clSetKernelArg(rngPipe)")
status = cl.CLSetKernelArg(produceKernel,
1,
cl.CL_size_t(unsafe.Sizeof(pipePktPerThread)),
unsafe.Pointer(&pipePktPerThread))
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clSetKernelArg(pipePktPerThread)")
status = cl.CLSetKernelArg(produceKernel,
2,
cl.CL_size_t(unsafe.Sizeof(seed)),
unsafe.Pointer(&seed))
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clSetKernelArg(seed)")
status = cl.CLSetKernelArg(produceKernel,
3,
cl.CL_size_t(unsafe.Sizeof(rngType)),
unsafe.Pointer(&rngType))
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clSetKernelArg(rngType)")
//-----------------------------------------------------
// STEP 9: Configure the work-item structure
//-----------------------------------------------------
// Define an index space (global work size) of work
// items for
// execution. A workgroup size (local work size) is not
// required,
// but can be used.
// Enqueue both the kernels.
var globalThreads = []cl.CL_size_t{producerGlobalSize}
var localThreads = []cl.CL_size_t{producerGroupSize}
//-----------------------------------------------------
// STEP 10: Enqueue the kernel for execution
//-----------------------------------------------------
// Execute the kernel by using
// clEnqueueNDRangeKernel().
// 'globalWorkSize' is the 1D dimension of the
// work-items
var produceEvt [1]cl.CL_event
status = cl.CLEnqueueNDRangeKernel(commandQueue[0],
produceKernel,
1,
nil,
globalThreads,
localThreads,
0,
nil,
&produceEvt[0])
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clEnqueueNDRangeKernel")
/*
launch consumer kernel only after producer has finished.
This is done to avoid concurrent kernels execution as the
memory consistency of pipe is guaranteed only across
synchronization points.
*/
status = cl.CLWaitForEvents(1, produceEvt[:])
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clWaitForEvents(produceEvt)")
//-----------------------------------------------------
// STEP 8: Set the kernel arguments
//-----------------------------------------------------
// Associate the input and output buffers with the
// kernel
// using clSetKernelArg()
// Set appropriate arguments to the kernel
status = cl.CLSetKernelArg(consumeKernel,
0,
cl.CL_size_t(unsafe.Sizeof(rngPipe)),
unsafe.Pointer(&rngPipe))
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clSetKernelArg(rngPipe)")
status = cl.CLSetKernelArg(consumeKernel,
1,
cl.CL_size_t(unsafe.Sizeof(devHist)),
unsafe.Pointer(&devHist))
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clSetKernelArg(devHist)")
status = cl.CLSetKernelArg(consumeKernel,
2,
cl.CL_size_t(unsafe.Sizeof(histMin)),
unsafe.Pointer(&histMin))
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clSetKernelArg(histMin)")
status = cl.CLSetKernelArg(consumeKernel,
3,
cl.CL_size_t(unsafe.Sizeof(histMax)),
unsafe.Pointer(&histMax))
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clSetKernelArg(histMax)")
//-----------------------------------------------------
// STEP 9: Configure the work-item structure
//-----------------------------------------------------
// Define an index space (global work size) of work
// items for
// execution. A workgroup size (local work size) is not
// required,
// but can be used.
globalThreads[0] = consumerGlobalSize
localThreads[0] = consumerGroupSize
//-----------------------------------------------------
// STEP 10: Enqueue the kernel for execution
//-----------------------------------------------------
// Execute the kernel by using
// clEnqueueNDRangeKernel().
// 'globalWorkSize' is the 1D dimension of the
// work-items
var consumeEvt [1]cl.CL_event
status = cl.CLEnqueueNDRangeKernel(
commandQueue[1],
consumeKernel,
1,
nil,
globalThreads,
localThreads,
0,
nil,
&consumeEvt[0])
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clEnqueueNDRangeKernel")
status = cl.CLFlush(commandQueue[0])
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clFlush(0)")
status = cl.CLFlush(commandQueue[1])
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clFlush(1)")
//wait for kernels to finish
status = cl.CLFinish(commandQueue[0])
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clFinish(0)")
status = cl.CLFinish(commandQueue[1])
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clFinish(1)")
//-----------------------------------------------------
// STEP 11: Read the output buffer back to the host
//-----------------------------------------------------
// Use clEnqueueReadBuffer() to read the OpenCL output
// buffer (bufferC)
// to the host output array (C)
//copy the data back to host buffer
var readEvt cl.CL_event
status = cl.CLEnqueueReadBuffer(commandQueue[1],
devHist,
cl.CL_TRUE,
0,
(MAX_HIST_BINS)*cl.CL_size_t(unsafe.Sizeof(localDevHist[0])),
unsafe.Pointer(&localDevHist[0]),
0,
nil,
&readEvt)
utils.CHECK_STATUS(status, cl.CL_SUCCESS, "clEnqueueReadBuffer")
//-----------------------------------------------------
// STEP 12: Verify the results
//-----------------------------------------------------
//Find the tolerance limit
fTol := (float32)(CONSUMER_GLOBAL_SIZE) * (float32)(COMP_TOL) / (float32)(100.0)
iTol := (int)(fTol)
if iTol == 0 {
iTol = 1
}
//CPU side histogram computation
CPUReference(seed, pipePktPerThread, rngType, cpuHist, histMax, histMin)
//Compare
for bin := 0; bin < MAX_HIST_BINS; bin++ {
diff := int(localDevHist[bin] - cpuHist[bin])
if diff < 0 {
diff = -diff
}
if diff > iTol {
println("Failed!")
return
}
}
println("Passed!")
}