本文介绍了如何在CUDA中以编程方式获取卡规格的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我刚开始使用CUDA。有没有办法以编程方式获取卡的规格？
I'm just starting out with CUDA. Is there a way of getting the card specs programmatically?
推荐答案
您可以使用和 API。
You can use the cudaGetDeviceCount and cudaGetDeviceProperties APIs.
void DisplayHeader()
{
const int kb = 1024;
const int mb = kb * kb;
wcout << "NBody.GPU" << endl << "=========" << endl << endl;
wcout << "CUDA version: v" << CUDART_VERSION << endl;
wcout << "Thrust version: v" << THRUST_MAJOR_VERSION << "." << THRUST_MINOR_VERSION << endl << endl;
int devCount;
cudaGetDeviceCount(&devCount);
wcout << "CUDA Devices: " << endl << endl;
for(int i = 0; i < devCount; ++i)
{
cudaDeviceProp props;
cudaGetDeviceProperties(&props, i);
wcout << i << ": " << props.name << ": " << props.major << "." << props.minor << endl;
wcout << " Global memory: " << props.totalGlobalMem / mb << "mb" << endl;
wcout << " Shared memory: " << props.sharedMemPerBlock / kb << "kb" << endl;
wcout << " Constant memory: " << props.totalConstMem / kb << "kb" << endl;
wcout << " Block registers: " << props.regsPerBlock << endl << endl;
wcout << " Warp size: " << props.warpSize << endl;
wcout << " Threads per block: " << props.maxThreadsPerBlock << endl;
wcout << " Max block dimensions: [ " << props.maxThreadsDim[0] << ", " << props.maxThreadsDim[1] << ", " << props.maxThreadsDim[2] << " ]" << endl;
wcout << " Max grid dimensions: [ " << props.maxGridSize[0] << ", " << props.maxGridSize[1] << ", " << props.maxGridSize[2] << " ]" << endl;
wcout << endl;
}
}
如果已安装 GPU Computing SDK ，请查看 deviceQuery 项目，该项目可在％NVSDKCOMPUTE_ROOT％\C\src 目录中找到。它显示了如何使用CUDA运行时API调用来查询所有设备属性。
If you have installed the GPU Computing SDK, have a look at the deviceQuery project which can be found in the %NVSDKCOMPUTE_ROOT%\C\src directory. It shows how to query for all the device properties using CUDA Runtime API calls.
在3.2.3节中有更详细的说明。
The CUDA Programming guide has more detail in section 3.2.3.
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