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clean up the port project

clean up the port project
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1 parent ff084b0 commit 2b8a78f2ec2e3b8cb49a163bd87e05c14f93a006 Cheng CHEN committed Jun 29, 2015
@@ -1,121 +0,0 @@
-
-#include "cuda_runtime.h"
-#include "device_launch_parameters.h"
-
-#include <stdio.h>
-
-cudaError_t addWithCuda(int *c, const int *a, const int *b, unsigned int size);
-
-__global__ void addKernel(int *c, const int *a, const int *b)
-{
- int i = threadIdx.x;
- c[i] = a[i] + b[i];
-}
-
-int main()
-{
- const int arraySize = 5;
- const int a[arraySize] = { 1, 2, 3, 4, 5 };
- const int b[arraySize] = { 10, 20, 30, 40, 50 };
- int c[arraySize] = { 0 };
-
- // Add vectors in parallel.
- cudaError_t cudaStatus = addWithCuda(c, a, b, arraySize);
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "addWithCuda failed!");
- return 1;
- }
-
- printf("{1,2,3,4,5} + {10,20,30,40,50} = {%d,%d,%d,%d,%d}\n",
- c[0], c[1], c[2], c[3], c[4]);
-
- // cudaDeviceReset must be called before exiting in order for profiling and
- // tracing tools such as Nsight and Visual Profiler to show complete traces.
- cudaStatus = cudaDeviceReset();
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "cudaDeviceReset failed!");
- return 1;
- }
-
- return 0;
-}
-
-// Helper function for using CUDA to add vectors in parallel.
-cudaError_t addWithCuda(int *c, const int *a, const int *b, unsigned int size)
-{
- int *dev_a = 0;
- int *dev_b = 0;
- int *dev_c = 0;
- cudaError_t cudaStatus;
-
- // Choose which GPU to run on, change this on a multi-GPU system.
- cudaStatus = cudaSetDevice(0);
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "cudaSetDevice failed! Do you have a CUDA-capable GPU installed?");
- goto Error;
- }
-
- // Allocate GPU buffers for three vectors (two input, one output) .
- cudaStatus = cudaMalloc((void**)&dev_c, size * sizeof(int));
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "cudaMalloc failed!");
- goto Error;
- }
-
- cudaStatus = cudaMalloc((void**)&dev_a, size * sizeof(int));
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "cudaMalloc failed!");
- goto Error;
- }
-
- cudaStatus = cudaMalloc((void**)&dev_b, size * sizeof(int));
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "cudaMalloc failed!");
- goto Error;
- }
-
- // Copy input vectors from host memory to GPU buffers.
- cudaStatus = cudaMemcpy(dev_a, a, size * sizeof(int), cudaMemcpyHostToDevice);
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "cudaMemcpy failed!");
- goto Error;
- }
-
- cudaStatus = cudaMemcpy(dev_b, b, size * sizeof(int), cudaMemcpyHostToDevice);
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "cudaMemcpy failed!");
- goto Error;
- }
-
- // Launch a kernel on the GPU with one thread for each element.
- addKernel<<<1, size>>>(dev_c, dev_a, dev_b);
-
- // Check for any errors launching the kernel
- cudaStatus = cudaGetLastError();
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "addKernel launch failed: %s\n", cudaGetErrorString(cudaStatus));
- goto Error;
- }
-
- // cudaDeviceSynchronize waits for the kernel to finish, and returns
- // any errors encountered during the launch.
- cudaStatus = cudaDeviceSynchronize();
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "cudaDeviceSynchronize returned error code %d after launching addKernel!\n", cudaStatus);
- goto Error;
- }
-
- // Copy output vector from GPU buffer to host memory.
- cudaStatus = cudaMemcpy(c, dev_c, size * sizeof(int), cudaMemcpyDeviceToHost);
- if (cudaStatus != cudaSuccess) {
- fprintf(stderr, "cudaMemcpy failed!");
- goto Error;
- }
-
-Error:
- cudaFree(dev_c);
- cudaFree(dev_a);
- cudaFree(dev_b);
-
- return cudaStatus;
-}
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