5e9e1146e1
GitOrigin-RevId: 18036c0be90f4e308ae3ebcab0e14aae0336fe42
68 lines
1.9 KiB
Text
68 lines
1.9 KiB
Text
#include <cublas_v2.h>
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#include <cuda_runtime.h>
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#include <vector>
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#include <stdio.h>
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static inline void check(cudaError_t err, const char *context) {
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if (err != cudaSuccess) {
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fprintf(stderr, "CUDA error at %s: %s\n", context, cudaGetErrorString(err));
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std::exit(EXIT_FAILURE);
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}
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}
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#define CHECK(x) check(x, #x)
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__global__ void saxpy(int n, float a, float *x, float *y) {
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int i = blockIdx.x * blockDim.x + threadIdx.x;
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if (i < n)
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y[i] = a * x[i] + y[i];
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}
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int main(void) {
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setbuf(stderr, NULL);
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fprintf(stderr, "Start\n");
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int rtVersion, driverVersion;
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CHECK(cudaRuntimeGetVersion(&rtVersion));
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CHECK(cudaDriverGetVersion(&driverVersion));
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fprintf(stderr, "Runtime version: %d\n", rtVersion);
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fprintf(stderr, "Driver version: %d\n", driverVersion);
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constexpr int N = 1 << 10;
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std::vector<float> xHost(N), yHost(N);
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for (int i = 0; i < N; i++) {
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xHost[i] = 1.0f;
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yHost[i] = 2.0f;
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}
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fprintf(stderr, "Host memory initialized, copying to the device\n");
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fflush(stderr);
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float *xDevice, *yDevice;
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CHECK(cudaMalloc(&xDevice, N * sizeof(float)));
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CHECK(cudaMalloc(&yDevice, N * sizeof(float)));
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CHECK(cudaMemcpy(xDevice, xHost.data(), N * sizeof(float),
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cudaMemcpyHostToDevice));
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CHECK(cudaMemcpy(yDevice, yHost.data(), N * sizeof(float),
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cudaMemcpyHostToDevice));
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fprintf(stderr, "Scheduled a cudaMemcpy, calling the kernel\n");
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saxpy<<<(N + 255) / 256, 256>>>(N, 2.0f, xDevice, yDevice);
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fprintf(stderr, "Scheduled a kernel call\n");
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CHECK(cudaGetLastError());
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CHECK(cudaMemcpy(yHost.data(), yDevice, N * sizeof(float),
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cudaMemcpyDeviceToHost));
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float maxError = 0.0f;
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for (int i = 0; i < N; i++)
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maxError = max(maxError, abs(yHost[i] - 4.0f));
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fprintf(stderr, "Max error: %f\n", maxError);
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CHECK(cudaFree(xDevice));
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CHECK(cudaFree(yDevice));
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}
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