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opencl-v22-example-simple-matacc.cc
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opencl-v22-example-simple-matacc.cc
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#define CL_HPP_TARGET_OPENCL_VERSION 200
#include <CL/cl2.hpp>
#include <iostream>
#include <vector>
#include <memory>
#include <algorithm>
#include <sys/time.h>
#define WIDTH 1024
//1024
#undef VERBOSE
#define NRUNS 5
inline void checkErr(cl_int err, const char * name);
inline double wsecond();
int main(void)
{
const uint mSize = WIDTH*WIDTH;
const uint mWidth = WIDTH;
// Create the data sets
//cl_int* mA=(cl_int*)malloc(sizeof(cl_int)*mSize);
cl_int* mA = new cl_int[mSize];
// cl_int* mB=(cl_int*)malloc(sizeof(cl_int)*mSize);
cl_int* mB = new cl_int[mSize];
for(unsigned int i = 0; i < mSize; i++) {
mA[i] = rand() % 64;
mB[i] = rand() % 64;
}
// cl_int* mCref=(cl_int*)malloc(sizeof(cl_int)*mSize);
cl_int* mCref= new cl_int[mSize];
double tstartref=wsecond();
/*
* To make this multi-threaded I must pass the pointers for mA, mB, mC and a th_id to the thread.
* So I need some struct which I then cast to void* etc.
* */
for (uint idx = 0; idx<mSize; idx++) {
unsigned int x=idx % mWidth;
unsigned int y=idx / mWidth;
int elt=0.0;
for (unsigned int i=0;i<mWidth;i++) {
elt+=mA[y*mWidth+i]*mB[i*mWidth+x];
}
// printf("%d\n",elt);
mCref[x+mWidth*y]=elt;
}
double tstopref=wsecond();
#ifdef VERBOSE
std::cout << "Execution time for reference: "<<(tstopref-tstartref)<<" ms\n";
#else
//for (int run=0;run<=NRUNS;run++) {
std::cout << "\t"<<(tstopref-tstartref);//<<"\n";
//}
#endif
//--------------------------------------------------------------------------------
//---- Here starts the actual OpenCL part
//--------------------------------------------------------------------------------
#ifdef VERBOSE
std::cout << "Entering OpenCL part \n";
#endif
// WV: I can use this when OCLV22 is set
// Filter for a 2.0 platform and set it as the default
std::vector<cl::Platform> platforms; // WV: this is platformList
cl::Platform::get(&platforms); // WV: this is in the ctor already
cl::Platform plat; // WV: see getContextAndDevices
for (auto &p : platforms) {
std::string platver = p.getInfo<CL_PLATFORM_VERSION>();
if (platver.find("OpenCL 2.") != std::string::npos) {
plat = p;
}
}
if (plat() == 0) {
std::cout << "No OpenCL 2.0 platform found.";
return -1;
}
cl::Platform newP = cl::Platform::setDefault(plat); // WV This means the API will use this platform
if (newP != plat) {
std::cout << "Error setting default platform.";
return -1;
}
//cl::CommandQueue queue = cl::CommandQueue(cl::Context::getDefault(), cl::Device::getDefault(), 0, &err); // WV No need
// Use C++11 raw string literals for kernel source code
std::string matmultkernel{R"CLC(
__kernel void matmultKernel (
__global int *mA,
__global int *mB,
__global int *mC,
const unsigned int mWidth) {
// naive means every kernel does one element
unsigned int idx=get_global_id(0);
unsigned int x=idx % mWidth;
unsigned int y=idx / mWidth;
int elt=0.0;
for (unsigned int i=0;i<mWidth;i++) {
elt+=mA[y*mWidth+i]*mB[i*mWidth+x];
}
// printf("%d %d\n",idx,elt);
mC[idx]=elt;
}
)CLC"};
// New simpler string interface style
std::vector<std::string> programStrings {matmultkernel};
cl::Program matMultProgram(programStrings);
try {
matMultProgram.build("-cl-std=CL2.0"); // WV: for OCLV22, OclWrapper::buildProgram
}
catch (...) { // WV: a good use for try/catch
// Print build info for all devices
cl_int buildErr = CL_SUCCESS;
auto buildInfo = matMultProgram.getBuildInfo<CL_PROGRAM_BUILD_LOG>(&buildErr);
for (auto &pair : buildInfo) {
std::cerr << pair.second << std::endl << std::endl;
}
return 1;
}
// Traditional cl_mem allocations
/*
std::cout << "Creating cl:Buffer mA_buf\n";
cl::Buffer mA_buf(CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR, sizeof(cl_int) * mSize, (void*)mA, &err);
checkErr(err, "cl::Buffer(mA)");
std::cout << "Creating cl:Buffer mB_buf\n";
cl::Buffer mB_buf(CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR, sizeof(cl_int) * mSize, (void*)mB, &err);
checkErr(err, "cl::Buffer(mB)");
std::cout << "Creating cl:Buffer mC_buf\n";
cl::Buffer mC_buf(CL_MEM_WRITE_ONLY, sizeof(cl_int) * mSize,nullptr, &err);
checkErr(err, "cl::Buffer(mC)");
*/
std::vector<int> mAvec(mA, mA+mSize);
std::vector<int> mBvec(mB, mB+mSize);
// cl_int* mC=(cl_int*)malloc(sizeof(cl_int)*mSize);
cl_int* mC = new cl_int[mSize];
std::vector<int> mCvec(mC,mC+mSize);
cl::Buffer *mA_buf = new cl::Buffer(begin(mAvec), end(mAvec), true);
cl::Buffer mB_buf(begin(mBvec), end(mBvec), true);
cl::Buffer mC_buf(begin(mCvec), end(mCvec), false);
#ifdef DBG
std::cout << "Start run loop\n";
#endif
for (int run=1;run<=NRUNS;run++) {
double tstart=wsecond();
#ifdef DBG
std::cout << "Buffer write\n";
#endif
/*
err =
queue.enqueueWriteBuffer(
mA_buf,
CL_TRUE,
0,
(::size_t)mSize,
(void*)mA);
checkErr(err, "cl::Buffer(mA)");
err = queue.enqueueWriteBuffer(
mB_buf,
CL_TRUE,
0,
(::size_t)mSize,
(void*)mB);
checkErr(err, "cl::Buffer(mB)");
*/
// WV This should be inside writeBuffer()
// So I need a variant of writeBuffer for vectors
cl::copy(begin(mAvec), end(mAvec),*mA_buf);
cl::copy(begin(mBvec), end(mBvec),mB_buf);
//ocl.writeBuffer( mA_buf, sizeof(cl_int)*mSize, mA);
//ocl.writeBuffer( mB_buf, sizeof(cl_int)*mSize, mB);
// Default queue, also passed in as a parameter
// WV apparently we don't need this
cl::DeviceCommandQueue defaultDeviceQueue = cl::DeviceCommandQueue::makeDefault(
cl::Context::getDefault(), cl::Device::getDefault()
);
cl_int error;
// WV: this is the key problem for use in Fortran
auto matMultKernel =
cl::KernelFunctor<
cl::Buffer,
cl::Buffer,
cl::Buffer,
unsigned int
// cl::DeviceCommandQueue
>(matMultProgram, "matmultKernel");
#ifdef DBG
std::cout << "Kernel invocation\n";
#endif
cl::Event event = matMultKernel(
cl::EnqueueArgs(
cl::NDRange(mSize),
cl::NullRange
),
*mA_buf,
mB_buf,
mC_buf,
mWidth,
error
);
event.wait(); // WV:Apparently no need for this
#ifdef DBG
std::cout << "Error value: "<<error << "\n";
std::cout << "Buffer read back\n";
#endif
/*
// Somehow this is incorrect
err = queue.enqueueReadBuffer(
mC_buf,
CL_TRUE,
0,
(::size_t)mSize,
(void*)mC);
checkErr(err, "cl::Buffer(mC)");
*/
cl::copy(mC_buf, begin(mCvec), end(mCvec));
mC = &mCvec[0];
// cl::Device d = cl::Device::getDefault();
double tstop=wsecond();
//--------------------------------------------------------------------------------
//---- Here ends the actual OpenCL part
//--------------------------------------------------------------------------------
#ifdef VERBOSE
unsigned int correct=0; // number of correct results returned
int nerrors=0;
int max_nerrors=mSize;
for (unsigned int i = 0; i < mSize; i++) {
// std::cout <<mC[i] << "<>" << mCref[i] << "\n";
int diff = mC[i] - mCref[i];
if(diff==0) { // 2**-20
correct++;
} else {
nerrors++;
if (nerrors>max_nerrors) break;
}
}
if (nerrors==0) {
std::cout << "Correct!\n";
} else {
std::cout << "#errors: "<<nerrors<<"\n";
std::cout << "Computed '"<<correct<<"/"<<mSize<<"' correct values!\n";
}
std::cout << "OpenCL execution time "<<(tstop-tstart)<<" ms\n";
#else // NOT VERBOSE
std::cout <<"\t"<< (tstop-tstart);//<<"\n";
#endif // VERBOSE
} // loop over NRUNS
delete [] mCref;
delete [] mA;
delete [] mB;
//free(mC);
return 0;
}
inline void checkErr(cl_int err, const char * name) {
if (err != CL_SUCCESS) {
std::cerr << "ERROR: " << name << " (" << err << ")" << std::endl;
exit( EXIT_FAILURE);
}
}
double wsecond()
{
struct timeval sampletime;
double time;
gettimeofday( &sampletime, NULL );
time = sampletime.tv_sec + (sampletime.tv_usec / 1000000.0);
return( time*1000.0 ); // return time in ms
}