mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2026-10-25 22:28:17 +08:00
Apply consistent code formatting across the repo. Add clang-format and pre-commit hooks.
This commit is contained in:
Rob Armstrong
@@ -37,7 +37,6 @@
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// For the CUDA runtime routines (prefixed with "cuda_")
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#include <cuda_runtime.h>
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#include <helper_cuda.h>
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/**
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* CUDA Kernel Device code
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@@ -45,166 +44,153 @@
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* Computes the vector addition of A and B into C. The 3 vectors have the same
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* number of elements numElements.
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*/
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__global__ void vectorAdd(const float *A, const float *B, float *C,
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int numElements) {
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int i = blockDim.x * blockIdx.x + threadIdx.x;
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__global__ void vectorAdd(const float *A, const float *B, float *C, int numElements)
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{
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int i = blockDim.x * blockIdx.x + threadIdx.x;
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if (i < numElements) {
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C[i] = A[i] + B[i] + 0.0f;
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}
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if (i < numElements) {
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C[i] = A[i] + B[i] + 0.0f;
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}
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}
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/**
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* Host main routine
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*/
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int main(void) {
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// Error code to check return values for CUDA calls
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cudaError_t err = cudaSuccess;
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int main(void)
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{
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// Error code to check return values for CUDA calls
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cudaError_t err = cudaSuccess;
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// Print the vector length to be used, and compute its size
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int numElements = 50000;
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size_t size = numElements * sizeof(float);
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printf("[Vector addition of %d elements]\n", numElements);
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// Print the vector length to be used, and compute its size
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int numElements = 50000;
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size_t size = numElements * sizeof(float);
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printf("[Vector addition of %d elements]\n", numElements);
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// Allocate the host input vector A
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float *h_A = (float *)malloc(size);
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// Allocate the host input vector A
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float *h_A = (float *)malloc(size);
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// Allocate the host input vector B
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float *h_B = (float *)malloc(size);
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// Allocate the host input vector B
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float *h_B = (float *)malloc(size);
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// Allocate the host output vector C
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float *h_C = (float *)malloc(size);
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// Allocate the host output vector C
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float *h_C = (float *)malloc(size);
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// Verify that allocations succeeded
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if (h_A == NULL || h_B == NULL || h_C == NULL) {
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fprintf(stderr, "Failed to allocate host vectors!\n");
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exit(EXIT_FAILURE);
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}
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// Initialize the host input vectors
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for (int i = 0; i < numElements; ++i) {
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h_A[i] = rand() / (float)RAND_MAX;
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h_B[i] = rand() / (float)RAND_MAX;
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}
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// Allocate the device input vector A
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float *d_A = NULL;
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err = cudaMalloc((void **)&d_A, size);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to allocate device vector A (error code %s)!\n",
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cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Allocate the device input vector B
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float *d_B = NULL;
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err = cudaMalloc((void **)&d_B, size);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to allocate device vector B (error code %s)!\n",
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cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Allocate the device output vector C
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float *d_C = NULL;
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err = cudaMalloc((void **)&d_C, size);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to allocate device vector C (error code %s)!\n",
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cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Copy the host input vectors A and B in host memory to the device input
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// vectors in
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// device memory
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printf("Copy input data from the host memory to the CUDA device\n");
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err = cudaMemcpy(d_A, h_A, size, cudaMemcpyHostToDevice);
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if (err != cudaSuccess) {
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fprintf(stderr,
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"Failed to copy vector A from host to device (error code %s)!\n",
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cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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err = cudaMemcpy(d_B, h_B, size, cudaMemcpyHostToDevice);
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if (err != cudaSuccess) {
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fprintf(stderr,
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"Failed to copy vector B from host to device (error code %s)!\n",
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cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Launch the Vector Add CUDA Kernel
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int threadsPerBlock = 256;
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int blocksPerGrid = (numElements + threadsPerBlock - 1) / threadsPerBlock;
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printf("CUDA kernel launch with %d blocks of %d threads\n", blocksPerGrid,
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threadsPerBlock);
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vectorAdd<<<blocksPerGrid, threadsPerBlock>>>(d_A, d_B, d_C, numElements);
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err = cudaGetLastError();
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to launch vectorAdd kernel (error code %s)!\n",
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cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Copy the device result vector in device memory to the host result vector
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// in host memory.
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printf("Copy output data from the CUDA device to the host memory\n");
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err = cudaMemcpy(h_C, d_C, size, cudaMemcpyDeviceToHost);
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if (err != cudaSuccess) {
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fprintf(stderr,
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"Failed to copy vector C from device to host (error code %s)!\n",
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cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Verify that the result vector is correct
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for (int i = 0; i < numElements; ++i) {
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if (fabs(h_A[i] + h_B[i] - h_C[i]) > 1e-5) {
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fprintf(stderr, "Result verification failed at element %d!\n", i);
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exit(EXIT_FAILURE);
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// Verify that allocations succeeded
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if (h_A == NULL || h_B == NULL || h_C == NULL) {
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fprintf(stderr, "Failed to allocate host vectors!\n");
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exit(EXIT_FAILURE);
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}
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}
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printf("Test PASSED\n");
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// Initialize the host input vectors
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for (int i = 0; i < numElements; ++i) {
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h_A[i] = rand() / (float)RAND_MAX;
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h_B[i] = rand() / (float)RAND_MAX;
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}
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// Free device global memory
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err = cudaFree(d_A);
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// Allocate the device input vector A
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float *d_A = NULL;
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err = cudaMalloc((void **)&d_A, size);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to free device vector A (error code %s)!\n",
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cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to allocate device vector A (error code %s)!\n", cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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err = cudaFree(d_B);
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// Allocate the device input vector B
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float *d_B = NULL;
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err = cudaMalloc((void **)&d_B, size);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to free device vector B (error code %s)!\n",
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cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to allocate device vector B (error code %s)!\n", cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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err = cudaFree(d_C);
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// Allocate the device output vector C
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float *d_C = NULL;
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err = cudaMalloc((void **)&d_C, size);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to free device vector C (error code %s)!\n",
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cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to allocate device vector C (error code %s)!\n", cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Free host memory
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free(h_A);
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free(h_B);
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free(h_C);
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// Copy the host input vectors A and B in host memory to the device input
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// vectors in
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// device memory
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printf("Copy input data from the host memory to the CUDA device\n");
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err = cudaMemcpy(d_A, h_A, size, cudaMemcpyHostToDevice);
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printf("Done\n");
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return 0;
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to copy vector A from host to device (error code %s)!\n", cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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err = cudaMemcpy(d_B, h_B, size, cudaMemcpyHostToDevice);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to copy vector B from host to device (error code %s)!\n", cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Launch the Vector Add CUDA Kernel
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int threadsPerBlock = 256;
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int blocksPerGrid = (numElements + threadsPerBlock - 1) / threadsPerBlock;
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printf("CUDA kernel launch with %d blocks of %d threads\n", blocksPerGrid, threadsPerBlock);
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vectorAdd<<<blocksPerGrid, threadsPerBlock>>>(d_A, d_B, d_C, numElements);
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err = cudaGetLastError();
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to launch vectorAdd kernel (error code %s)!\n", cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Copy the device result vector in device memory to the host result vector
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// in host memory.
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printf("Copy output data from the CUDA device to the host memory\n");
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err = cudaMemcpy(h_C, d_C, size, cudaMemcpyDeviceToHost);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to copy vector C from device to host (error code %s)!\n", cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Verify that the result vector is correct
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for (int i = 0; i < numElements; ++i) {
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if (fabs(h_A[i] + h_B[i] - h_C[i]) > 1e-5) {
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fprintf(stderr, "Result verification failed at element %d!\n", i);
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exit(EXIT_FAILURE);
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}
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}
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printf("Test PASSED\n");
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// Free device global memory
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err = cudaFree(d_A);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to free device vector A (error code %s)!\n", cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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err = cudaFree(d_B);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to free device vector B (error code %s)!\n", cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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err = cudaFree(d_C);
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if (err != cudaSuccess) {
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fprintf(stderr, "Failed to free device vector C (error code %s)!\n", cudaGetErrorString(err));
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exit(EXIT_FAILURE);
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}
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// Free host memory
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free(h_A);
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free(h_B);
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free(h_C);
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printf("Done\n");
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return 0;
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}
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