c# 使用Cloo - Cloo 库编写一段代码
时间: 2024-04-30 20:25:19 浏览: 144
Cloo是一个用于在C#中使用OpenCL(开放式计算语言)的库。下面是一个简单的使用Cloo进行向量加法的示例代码:
```csharp
using Cloo;
class Program {
static void Main(string[] args) {
// 设置 OpenCL 平台、设备和上下文
ComputePlatform[] platforms = ComputePlatform.Platforms;
ComputeContext context = new ComputeContext(
ComputeDeviceTypes.Gpu,
new ComputeContextPropertyList(platforms[0]),
null,
IntPtr.Zero);
ComputeCommandQueue queue = new ComputeCommandQueue(
context,
context.Devices[0],
ComputeCommandQueueFlags.None);
// 创建两个向量并初始化
int vectorSize = 1024;
float[] vectorA = new float[vectorSize];
float[] vectorB = new float[vectorSize];
for (int i = 0; i < vectorSize; i++) {
vectorA[i] = i;
vectorB[i] = vectorSize - i;
}
// 创建并编译内核程序
string source = @"
__kernel void VectorAdd(__global float* a, __global float* b, __global float* c) {
int i = get_global_id(0);
c[i] = a[i] + b[i];
}
";
ComputeProgram program = new ComputeProgram(context, source);
program.Build(null, null, null, IntPtr.Zero);
ComputeKernel kernel = program.CreateKernel("VectorAdd");
// 创建缓冲区并将数据传输到设备
ComputeBuffer<float> bufferA = new ComputeBuffer<float>(
context,
ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer,
vectorA);
ComputeBuffer<float> bufferB = new ComputeBuffer<float>(
context,
ComputeMemoryFlags.ReadOnly | ComputeMemoryFlags.CopyHostPointer,
vectorB);
ComputeBuffer<float> bufferC = new ComputeBuffer<float>(
context,
ComputeMemoryFlags.WriteOnly,
vectorSize);
// 设置内核参数并执行内核
kernel.SetMemoryArgument(0, bufferA);
kernel.SetMemoryArgument(1, bufferB);
kernel.SetMemoryArgument(2, bufferC);
queue.Execute(kernel, null, new long[] { vectorSize }, null, null);
// 将结果从设备传输回主机并输出
float[] result = new float[vectorSize];
queue.Read(bufferC, true, 0, vectorSize, result, null);
for (int i = 0; i < vectorSize; i++) {
Console.WriteLine(result[i]);
}
// 清理资源
bufferA.Dispose();
bufferB.Dispose();
bufferC.Dispose();
kernel.Dispose();
program.Dispose();
queue.Dispose();
context.Dispose();
}
}
```
上述代码首先设置 OpenCL 平台、设备和上下文,然后创建两个向量并初始化。接着,它创建并编译内核程序,创建缓冲区并将数据传输到设备。然后设置内核参数并执行内核,最后将结果从设备传输回主机并输出。最后,清理资源。
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