322 lines
8.0 KiB
C++
322 lines
8.0 KiB
C++
#include <stdio.h>
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#include <stdlib.h>
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#include <iostream>
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#include <algorithm>
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#include <string.h>
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#include <cuda.h>
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#include <vector>
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#include <cassert>
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#include "drvapi_error_string.h"
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#define checkCudaErrors(err) __checkCudaErrors (err, __FILE__, __LINE__)
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// These are the inline versions for all of the SDK helper functions
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void __checkCudaErrors(CUresult err, const char *file, const int line) {
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if(CUDA_SUCCESS != err) {
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std::cerr << "checkCudeErrors() Driver API error = " << err << "\""
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<< getCudaDrvErrorString(err) << "\" from file <" << file
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<< ", line " << line << "\n";
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exit(-1);
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}
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}
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/**********************/
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/* Basic CUDriver API */
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CUcontext context;
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void createContext(const int deviceId = 0)
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{
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CUdevice device;
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int devCount;
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checkCudaErrors(cuInit(0));
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checkCudaErrors(cuDeviceGetCount(&devCount));
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assert(devCount > 0);
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checkCudaErrors(cuDeviceGet(&device, deviceId < devCount ? deviceId : 0));
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char name[128];
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checkCudaErrors(cuDeviceGetName(name, 128, device));
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std::cout << "Using CUDA Device [0]: " << name << "\n";
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int devMajor, devMinor;
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checkCudaErrors(cuDeviceComputeCapability(&devMajor, &devMinor, device));
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std::cout << "Device Compute Capability: "
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<< devMajor << "." << devMinor << "\n";
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if (devMajor < 2) {
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std::cerr << "ERROR: Device 0 is not SM 2.0 or greater\n";
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exit(1);
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}
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// Create driver context
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checkCudaErrors(cuCtxCreate(&context, 0, device));
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}
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void destroyContext()
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{
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checkCudaErrors(cuCtxDestroy(context));
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}
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CUmodule loadModule(const char * module)
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{
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CUmodule cudaModule;
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checkCudaErrors(cuModuleLoadData(&cudaModule, module));
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return cudaModule;
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}
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void unloadModule(CUmodule &cudaModule)
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{
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checkCudaErrors(cuModuleUnload(cudaModule));
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}
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CUfunction getFunction(CUmodule &cudaModule, const char * function)
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{
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CUfunction cudaFunction;
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checkCudaErrors(cuModuleGetFunction(&cudaFunction, cudaModule, function));
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return cudaFunction;
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}
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CUdeviceptr deviceMalloc(const size_t size)
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{
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CUdeviceptr d_buf;
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checkCudaErrors(cuMemAlloc(&d_buf, size));
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return d_buf;
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}
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void deviceFree(CUdeviceptr d_buf)
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{
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checkCudaErrors(cuMemFree(d_buf));
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}
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void memcpyD2H(void * h_buf, CUdeviceptr d_buf, const size_t size)
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{
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checkCudaErrors(cuMemcpyDtoH(h_buf, d_buf, size));
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}
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void memcpyH2D(CUdeviceptr d_buf, void * h_buf, const size_t size)
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{
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checkCudaErrors(cuMemcpyHtoD(d_buf, h_buf, size));
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}
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#define deviceLaunch(func,nbx,nby,nbz,params) \
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checkCudaErrors( \
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cuLaunchKernel( \
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(func), \
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(nbx), (nby), (nbz), \
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32, 1, 1, \
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0, NULL, (params), NULL \
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));
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typedef CUdeviceptr devicePtr;
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/**************/
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extern "C"
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{
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#if 0
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struct ModuleManager
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{
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private:
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typedef std::pair<std::string, CUModule> ModulePair;
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typedef std::map <std::string, CUModule> ModuleMap;
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ModuleMap module_list;
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ModuleMap::iterator findModule(const char * module_name)
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{
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return module_list.find(std::string(module_name));
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}
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public:
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CUmodule loadModule(const char * module_name, const char * module_data)
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{
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const ModuleMap::iterator it = findModule(module_name)
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if (it != ModuleMap::end)
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{
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CUmodule cudaModule = loadModule(module);
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module_list.insert(std::make_pair(std::string(module_name), cudaModule));
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return cudaModule
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}
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return it->second;
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}
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void unloadModule(const char * module_name)
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{
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ModuleMap::iterator it = findModule(module_name)
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if (it != ModuleMap::end)
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module_list.erase(it);
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}
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};
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#endif
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void *CUDAAlloc(void **handlePtr, int64_t size, int32_t alignment)
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{
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return NULL;
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}
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void CUDALaunch(
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void **handlePtr,
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const char * module_name,
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const char * module,
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const char * func_name,
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void **func_args,
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int countx, int county, int countz)
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{
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CUmodule cudaModule = loadModule(module);
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CUfunction cudaFunction = getFunction(cudaModule, func_name);
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deviceLaunch(cudaFunction, countx, county, countz, func_args);
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unloadModule(cudaModule);
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}
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void CUDASync(void *handle)
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{
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checkCudaErrors(cuStreamSynchronize(0));
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}
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void CUDAFree(void *handle)
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{
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}
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}
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/********************/
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/* Write a PPM image file with the image of the Mandelbrot set */
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static void
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writePPM(int *buf, int width, int height, const char *fn)
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{
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FILE *fp = fopen(fn, "wb");
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fprintf(fp, "P6\n");
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fprintf(fp, "%d %d\n", width, height);
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fprintf(fp, "255\n");
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for (int i = 0; i < width*height; ++i) {
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// Map the iteration count to colors by just alternating between
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// two greys.
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char c = (buf[i] & 0x1) ? 240 : 20;
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for (int j = 0; j < 3; ++j)
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fputc(c, fp);
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}
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fclose(fp);
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printf("Wrote image file %s\n", fn);
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}
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std::vector<char> readBinary(const char * filename)
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{
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std::vector<char> buffer;
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FILE *fp = fopen(filename, "rb");
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if (!fp )
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{
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fprintf(stderr, "file %s not found\n", filename);
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assert(0);
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}
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#if 0
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char c;
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while ((c = fgetc(fp)) != EOF)
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buffer.push_back(c);
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#else
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fseek(fp, 0, SEEK_END);
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const unsigned long long size = ftell(fp); /*calc the size needed*/
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fseek(fp, 0, SEEK_SET);
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buffer.resize(size);
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if (fp == NULL){ /*ERROR detection if file == empty*/
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fprintf(stderr, "Error: There was an Error reading the file %s \n",filename);
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exit(1);
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}
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else if (fread(&buffer[0], sizeof(char), size, fp) != size){ /* if count of read bytes != calculated size of .bin file -> ERROR*/
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fprintf(stderr, "Error: There was an Error reading the file %s \n", filename);
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exit(1);
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}
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#endif
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fprintf(stderr, " read buffer of size= %d bytes \n", (int)buffer.size());
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return buffer;
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}
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static void usage()
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{
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fprintf(stderr, "usage: mandelbrot [--scale=<factor>]\n");
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exit(1);
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}
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extern "C"
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void mandelbrot_ispc(
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float x0, float y0,
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float x1, float y1,
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int width, int height,
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int maxIterations, int output[])
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{
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float dx = (x1 - x0) / width;
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float dy = (y1 - y0) / height;
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int xspan = 16; /* make sure it is big enough to avoid false-sharing */
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int yspan = 4;
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const int nbx = width/xspan;
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const int nby = height/yspan;
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const int nbz = 1;
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fprintf(stderr ," nbx= %d nby= %d nbtot= %d \n", nbx, nby, nbx*nby);
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#if 0
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launch [nbx,nby]
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mandelbrot_scanline(x0, dx, y0, dy, width, height, xspan, yspan,
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maxIterations, output);
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#endif
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// const std::vector<char> cubin = readBinary("cuLaunch.cubin");
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const std::vector<char> cubin = readBinary("cuLaunch.ptx");
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void *params[] = {&x0, &dx, &y0, &dy, &width, &height, &xspan, &yspan, &maxIterations, &output};
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CUDALaunch(
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NULL, //void **handlePtr,
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"module_01", // const char * module_name,
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&cubin[0], //const char * module,
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"mandelbrot_scanline", //const char * func_name,
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params, //void **func_args,
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nbx,nby,nbz); //int countx, int county, int countz)
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CUDASync(NULL);
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}
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int main(int argc, char *argv[])
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{
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unsigned int width = 1536;
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unsigned int height = 1024;
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float x0 = -2;
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float x1 = 1;
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float y0 = -1;
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float y1 = 1;
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if (argc == 1)
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;
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else if (argc == 2) {
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if (strncmp(argv[1], "--scale=", 8) == 0) {
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float scale = atof(argv[1] + 8);
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if (scale == 0.f)
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usage();
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width *= scale;
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height *= scale;
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// round up to multiples of 16
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width = (width + 0xf) & ~0xf;
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height = (height + 0xf) & ~0xf;
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}
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else
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usage();
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}
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else
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usage();
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/*******************/
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createContext();
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/*******************/
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int maxIterations = 512;
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int *h_buf = new int[width*height];
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for (unsigned int i = 0; i < width*height; i++)
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h_buf[i] = 0;
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const size_t bufsize = sizeof(int)*width*height;
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devicePtr d_buf = deviceMalloc(bufsize);
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memcpyH2D(d_buf, h_buf, bufsize);
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mandelbrot_ispc(x0,y0,x1,y1,width, height, maxIterations, (int*)d_buf);
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memcpyD2H(h_buf, d_buf, bufsize);
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deviceFree(d_buf);
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writePPM(h_buf, width, height, "mandelbrot-cuda.ppm");
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/*******************/
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destroyContext();
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/*******************/
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return 0;
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}
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