CudaSharp项目的目的是让你在支持CUDA的GPU上运行C#程序。
示例代码：
using System;using CudaSharp;using ManagedCuda;namespace CudaSharpTest{ static class Program { static void Main() { var ptx = CudaSharp.CudaSharp.Translate<int[]>(kernel); Test(ptx); Console.ReadKey(true); } static void store(int[] arr, int value) { arr[Gpu.ThreadX() + Gpu.BlockX() * Gpu.ThreadDimX()] = value; } // ReSharper disable once InconsistentNaming static void kernel(int[] arr) { var tid = Gpu.ThreadX() + Gpu.BlockX() * Gpu.ThreadDimX(); var val = arr[tid]; if (val != 0) store(arr, val + 3); } static void Test(byte[] ptxFile) { const int size = 16; var context = new CudaContext(); var kernel = context.LoadKernelPTX(ptxFile, "kernel"); var memory = context.AllocateMemory(4 * size); var gpuMemory = new CudaDeviceVariable<int>(memory); var cpuMemory = new int[size]; for (var i = 0; i < size; i++) cpuMemory[i] = i - 2; gpuMemory.CopyToDevice(cpuMemory); kernel.BlockDimensions = 4; kernel.GridDimensions = 4; kernel.Run(memory); gpuMemory.CopyToHost(cpuMemory); for (var i = 0; i < size; i++) Console.WriteLine("{0} = {1}", i, cpuMemory[i]); } }}
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