parent
73651afb9c
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#include <CL/cl.h>
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#include <string.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <iostream>
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#include <string>
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#include <fstream>
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#include <random>
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#include <ctime>
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#include <SFML/Graphics.hpp>
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#define SUCCESS 0
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#define FAILURE 1
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using namespace std;
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/* convert the kernel file into a string */
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int convertToString(const char *filename, std::string& s)
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{
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size_t size;
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char* str;
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std::fstream f(filename, (std::fstream::in | std::fstream::binary));
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if(f.is_open())
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{
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size_t fileSize;
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f.seekg(0, std::fstream::end);
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size = fileSize = (size_t)f.tellg();
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f.seekg(0, std::fstream::beg);
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str = new char[size+1];
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if(!str)
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{
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f.close();
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return 0;
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}
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f.read(str, fileSize);
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f.close();
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str[size] = '\0';
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s = str;
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delete[] str;
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return 0;
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}
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cout<<"Error: failed to open file\n:"<<filename<<endl;
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return FAILURE;
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}
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int main(int argc, char* argv[])
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{
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// 1000 x 1000 grid
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std::mt19937 rng(time(NULL));
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std::uniform_int_distribution<int> rgen(0, 4); // 25% chance
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char* grid = new char[1000 * 1000 * 2];
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for (int i = 0; i < 1000 * 1000 * 2; i += 2) {
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if (rgen(rng) == 1) {
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grid[i] = 1;
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grid[i + 1] = 1;
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}
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else {
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grid[i] = 0;
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grid[i + 1] = 0;
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}
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}
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/*Step1: Getting platforms and choose an available one.*/
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cl_uint numPlatforms; //the NO. of platforms
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cl_platform_id platform = NULL; //the chosen platform
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cl_int status = clGetPlatformIDs(0, NULL, &numPlatforms);
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if (status != CL_SUCCESS)
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{
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cout << "Error: Getting platforms!" << endl;
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return FAILURE;
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}
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/*For clarity, choose the first available platform. */
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if(numPlatforms > 0)
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{
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cl_platform_id* platforms = (cl_platform_id* )malloc(numPlatforms* sizeof(cl_platform_id));
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status = clGetPlatformIDs(numPlatforms, platforms, NULL);
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platform = platforms[0];
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free(platforms);
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}
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/*Step 2:Query the platform and choose the first GPU device if has one.Otherwise use the CPU as device.*/
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cl_uint numDevices = 0;
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cl_device_id *devices;
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status = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 0, NULL, &numDevices);
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if (numDevices == 0) //no GPU available.
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{
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cout << "No GPU device available." << endl;
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cout << "Choose CPU as default device." << endl;
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status = clGetDeviceIDs(platform, CL_DEVICE_TYPE_CPU, 0, NULL, &numDevices);
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devices = (cl_device_id*)malloc(numDevices * sizeof(cl_device_id));
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status = clGetDeviceIDs(platform, CL_DEVICE_TYPE_CPU, numDevices, devices, NULL);
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}
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else
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{
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devices = (cl_device_id*)malloc(numDevices * sizeof(cl_device_id));
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status = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, numDevices, devices, NULL);
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}
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/*Step 3: Create context.*/
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cl_context context = clCreateContext(NULL,1, devices,NULL,NULL,NULL);
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/*Step 4: Creating command queue associate with the context.*/
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cl_command_queue commandQueue = clCreateCommandQueue(context, devices[0], 0, NULL);
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/*Step 5: Create program object */
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const char *filename = "HelloWorld_Kernel.cl";
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string sourceStr;
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status = convertToString(filename, sourceStr);
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const char *source = sourceStr.c_str();
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size_t sourceSize[] = {strlen(source)};
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cl_program program = clCreateProgramWithSource(context, 1, &source, sourceSize, NULL);
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/*Step 6: Build program. */
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status=clBuildProgram(program, 1,devices,NULL,NULL,NULL);
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/*Step 7: Initial input,output for the host and create memory objects for the kernel*/
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const char* input = "GdkknVnqkc";
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size_t strlength = strlen(input);
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cout << "input string:" << endl;
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cout << input << endl;
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char *output = (char*) malloc(strlength + 1);
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cl_mem inputBuffer = clCreateBuffer(context, CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR, (strlength + 1) * sizeof(char),(void *) input, NULL);
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cl_mem outputBuffer = clCreateBuffer(context, CL_MEM_WRITE_ONLY , (strlength + 1) * sizeof(char), NULL, NULL);
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/*Step 8: Create kernel object */
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cl_kernel kernel = clCreateKernel(program,"helloworld", NULL);
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/*Step 9: Sets Kernel arguments.*/
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status = clSetKernelArg(kernel, 0, sizeof(cl_mem), (void *)&inputBuffer);
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status = clSetKernelArg(kernel, 1, sizeof(cl_mem), (void *)&outputBuffer);
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// ======================================= START SFML ==========================================================
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// Spites for drawing, probably where the biggest slowdown is
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sf::RectangleShape live_node;
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live_node.setFillColor(sf::Color(145, 181, 207));
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live_node.setSize(sf::Vector2f(WINDOW_X / Node::x_bound, WINDOW_Y / Node::y_bound));
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// Init window, and loop data
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sf::RenderWindow window(sf::VideoMode(WINDOW_X, WINDOW_Y), "Classic Games");
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float step_size = 0.0005f;
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double frame_time = 0.0, elapsed_time = 0.0, delta_time = 0.0, accumulator_time = 0.0, current_time = 0.0;
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int frame_count = 0;
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std::stack<std::thread> thread_stack;
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while (window.isOpen()) {
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sf::Event event;
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while (window.pollEvent(event)) {
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if (event.type == sf::Event::Closed)
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window.close();
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}
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// Time keeping
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elapsed_time = elap_time();
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delta_time = elapsed_time - current_time;
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current_time = elapsed_time;
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if (delta_time > 0.02f)
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delta_time = 0.02f;
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accumulator_time += delta_time;
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while ((accumulator_time - step_size) >= step_size) {
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accumulator_time -= step_size;
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// Do nothing, FPS tied update()
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}
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// Implicit dead node color
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window.clear(sf::Color(49, 68, 72));
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for (int i = 0; i < 12; i++) {
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thread_stack.emplace(updateRange, &node_vec, (node_vec.size() / 12)* i, (node_vec.size() / 12)* (i + 1));
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}
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while (!thread_stack.empty()) {
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thread_stack.top().join();
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thread_stack.pop();
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}
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//for (int i = 0; i < node_vec.size(); i++) {
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// node_vec.at(i).Update(&node_vec);
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//}
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for (int i = 0; i < node_vec.size(); i++) {
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node_vec[i].ShiftState();
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}
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for (int i = 0; i < node_vec.size(); i++) {
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if (node_vec.at(i).CurrentState() == true) {
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live_node.setPosition((i % Node::x_bound) * live_node.getGlobalBounds().width, (i / Node::x_bound) * live_node.getGlobalBounds().height);
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window.draw(live_node);
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}
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else {
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//dead_node.setPosition(i % Node::x_bound * dead_node.getGlobalBounds().width, i / Node::x_bound * dead_node.getGlobalBounds().height);
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//window.draw(live_node);
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}
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}
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frame_count++;
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window.display();
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// ======================================= END SFML ==========================================================
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/*Step 10: Running the kernel.*/
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size_t global_work_size[1] = {strlength};
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status = clEnqueueNDRangeKernel(commandQueue, kernel, 1, NULL, global_work_size, NULL, 0, NULL, NULL);
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/*Step 11: Read the cout put back to host memory.*/
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status = clEnqueueReadBuffer(commandQueue, outputBuffer, CL_TRUE, 0, strlength * sizeof(char), output, 0, NULL, NULL);
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output[strlength] = '\0'; //Add the terminal character to the end of output.
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cout << "\noutput string:" << endl;
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cout << output << endl;
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/*Step 12: Clean the resources.*/
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status = clReleaseKernel(kernel); //Release kernel.
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status = clReleaseProgram(program); //Release the program object.
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status = clReleaseMemObject(inputBuffer); //Release mem object.
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status = clReleaseMemObject(outputBuffer);
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status = clReleaseCommandQueue(commandQueue); //Release Command queue.
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status = clReleaseContext(context); //Release context.
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if (output != NULL)
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{
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free(output);
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output = NULL;
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}
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if (devices != NULL)
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{
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free(devices);
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devices = NULL;
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}
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std::cout<<"Passed!\n";
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return SUCCESS;
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}
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@ -0,0 +1,51 @@
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__kernel void helloworld(__global char* in, __global int num_workers, __global int grid_width, __global int grid_height)
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{
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// Caclulate the start and end range that this worker will be calculating
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int data_length = grid_width * grid_height;
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int start_range = (data_length / num_workers) * get_global_id(0) * 2; // * 2 = padding
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int end_range = (data_length / num_workers) * (get_global_id(0) + 1) * 2;
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// x, y + 1
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int neighbors = 0;
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for (int i = start_range; i < end_range; i += 2){
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// add all 8 blocks to neghbors
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// Top
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neighbors += in[i - grid_width * 2];
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// Top right
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neightbors += in[i - grid_width * 2 + 2];
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// Right
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neighbors += in[i + 2];
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// Bottom Right
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neighbors += in[i + grid_width * 2 + 2];
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// Bottom
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neighbors += in[i + grid_width * 2];
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// Bottom Left
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neighbors += in[i + grid_width * 2 - 2];
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// Left
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neighbors += in[i - 2];
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// Top left
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neighbors += in[i - grid_width * 2 - 2];
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// push living status to the padded second char
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if (neighbors == 3 || (neighbors == 2 && in[i])){
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in[i + 1] = 1;
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}
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else
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in[i + 1] = 0;
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}
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}
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