Cuda Toolkit __link__ -

// Copy data to device cudaMemcpy(d_a, h_a, bytes, cudaMemcpyHostToDevice); cudaMemcpy(d_b, h_b, bytes, cudaMemcpyHostToDevice);

Here’s a overview and a practical example to get you started. What is CUDA Toolkit? CUDA (Compute Unified Device Architecture) Toolkit is NVIDIA's parallel computing platform and programming model that enables dramatic speedups by leveraging GPU power for general-purpose processing. cuda toolkit

// Launch kernel int threadsPerBlock = 256; int blocksPerGrid = (n + threadsPerBlock - 1) / threadsPerBlock; vectorAdd<<<blocksPerGrid, threadsPerBlock>>>(d_a, d_b, d_c, n); // Copy data to device cudaMemcpy(d_a, h_a, bytes,

clean: rm -f $(TARGET)

int main() int n = 1000000; size_t bytes = n * sizeof(float); // Launch kernel int threadsPerBlock = 256; int

// Allocate device memory float *d_a, *d_b, *d_c; cudaMalloc(&d_a, bytes); cudaMalloc(&d_b, bytes); cudaMalloc(&d_c, bytes);

// Initialize input vectors for (int i = 0; i < n; i++) h_a[i] = rand() / (float)RAND_MAX; h_b[i] = rand() / (float)RAND_MAX;