102 lines
3.3 KiB
C++
102 lines
3.3 KiB
C++
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#define CL_TARGET_OPENCL_VERSION 120
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#include <utility>
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#include <CL/cl.hpp>
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#include <cstdio>
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#include <cstdlib>
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#include <fstream>
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#include <iostream>
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#include <string>
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#include <iterator>
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const std::string hw("Hello World!");
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inline void checkErr(cl_int err, const char* name) {
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if(err != CL_SUCCESS) {
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std::cerr << "ERROR: " << name << " (" << err << ")" << std::endl;
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exit(EXIT_FAILURE);
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}
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}
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void initMatrix(float *mat, int size) {
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for(int i = 0; i < size; i++) {
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mat[i] = rand() % 50;
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}
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}
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int main(void) {
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cl_int err;
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std::vector<cl::Platform> platformList;
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cl::Platform::get(&platformList);
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checkErr(platformList.size() != 0 ? CL_SUCCESS : -1, "cl::Platform::get");
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std::cerr << "Number of platforms: " << platformList.size() << std::endl;
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for(int i = 0; i < platformList.size(); i++) {
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std::string platformVendor;
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platformList[i].getInfo((cl_platform_info)CL_PLATFORM_VENDOR, &platformVendor);
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std::cerr << "Platform #" << i << " Vendor: " << platformVendor << std::endl;
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std::string platformName;
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platformList[i].getInfo((cl_platform_info)CL_PLATFORM_NAME, &platformName);
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std::cerr << "Platform #" << i << " Name: " << platformName << std::endl;
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}
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cl_context_properties cprops[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)(platformList[0])(), 0 };
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cl::Context context(CL_DEVICE_TYPE_GPU, cprops, NULL, NULL, &err);
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checkErr(err, "Context::Context()");
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// Matrices as seen on OpenCL device
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cl::Buffer inputNums_device;
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cl::Buffer tries_device;
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// Host side allocations
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const unsigned int NUM_ITEMS = 1024*1024;
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size_t arrSize = NUM_ITEMS * sizeof(int);
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unsigned int *inputNums_host = (unsigned int*)malloc(arrSize);
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unsigned int *tries_host = (unsigned int*)malloc(arrSize);
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std::vector<cl::Device> devices;
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devices = context.getInfo<CL_CONTEXT_DEVICES>();
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checkErr(devices.size() > 0 ? CL_SUCCESS : -1, "devices.size() > 0");
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std::ifstream file("collatz-kernel.cl");
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checkErr(file.is_open() ? CL_SUCCESS : -1, "collatz-kernel.cl");
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std::string programSourceString(std::istreambuf_iterator<char>(file), (std::istreambuf_iterator<char>()));
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cl::Program::Sources programSource(1, std::make_pair(programSourceString.c_str(), programSourceString.length() + 1));
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cl::Program program(context, programSource);
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err = program.build(devices, "");
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checkErr(err, "Program::Build()");
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cl::Kernel kernel(program, "collatz", &err);
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checkErr(err, "Kernel::Kernel()");
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inputNums_device = cl::Buffer(context, CL_MEM_WRITE_ONLY, arrSize, NULL, &err);
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tries_device = cl::Buffer(context, CL_MEM_WRITE_ONLY, arrSize, NULL, &err);
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size_t localWorkSize[2], globalWorkSize[2];
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err = kernel.setArg(0, inputNums_device);
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err = kernel.setArg(1, tries_device);
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localWorkSize[0] = 16;
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localWorkSize[1] = 16;
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globalWorkSize[0] = 1024;
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globalWorkSize[1] = 1024;
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cl::CommandQueue queue(context, devices[0], 0, &err);
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checkErr(err, "CommandQueue::CommandQueue()");
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cl::Event event;
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err = queue.enqueueNDRangeKernel(kernel, cl::NullRange, cl::NDRange(1024, 1024), cl::NDRange(16, 16), NULL, &event);
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checkErr(err, "CommandQueue::enqueueNDRangeKernel()");
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event.wait();
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err = queue.enqueueReadBuffer(tries_device, CL_TRUE, 0, arrSize, tries_host);
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err = queue.enqueueReadBuffer(inputNums_device, CL_TRUE, 0, arrSize, inputNums_host);
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checkErr(err, "CommandQueue::enqueueReadBuffer()");
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return EXIT_SUCCESS;
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}
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