GPGPU.TotalMemory显示出极其巨大的价值

Question

我有一张带有 CUDA 的 4GB 和一张 12GB gfx 卡。在我的应用程序中，我使用 CUDAfy.NET 并且在调用 GPGPU.TotalMemory 属性时它显示了一个非常大的值（绝对不正确）。与 FreeMemory 相同。如何解决这个问题？

Console.WriteLine("GPU total memory: " + gpu.TotalMemory.ToString());
Console.WriteLine("GPU free memory: " + gpu.FreeMemory.ToString());

对于4GB卡，TotalMemory显示18446744072635809792字节，FreeMemory显示18446744072628600832字节。

Answer 1

正如 talonmies 所指出的，这一定是 CUDAfy 中的一个错误，导致内存计算不正确，但我找到了另一种获取信息的方法。 CudafyByExample 中的一些示例代码准确地展示了如何做到这一点！因此，不是读取 GPGPU class' 属性 gpu.TotalMemory，我必须通过调用 CudafyHost.GetDeviceProperties() 函数获取包含每个设备属性的对象列表，然后每个对象将包含我想要的每个 CUDA 显卡的信息：

public static void PrintGpuProperties() // this was copied from CudafyByExample
{
    int i = 0;

    foreach (GPGPUProperties devicePropsContainer in CudafyHost.GetDeviceProperties(CudafyModes.Target, false))
    {
        Console.WriteLine("   --- General Information for device {0} ---", i);
        Console.WriteLine("Name:  {0}", devicePropsContainer.Name);
        Console.WriteLine("Platform Name:  {0}", devicePropsContainer.PlatformName);
        Console.WriteLine("Device Id:  {0}", devicePropsContainer.DeviceId);
        Console.WriteLine("Compute capability:  {0}.{1}", devicePropsContainer.Capability.Major, devicePropsContainer.Capability.Minor);
        Console.WriteLine("Clock rate: {0}", devicePropsContainer.ClockRate);
        Console.WriteLine("Simulated: {0}", devicePropsContainer.IsSimulated);
        Console.WriteLine();

        Console.WriteLine("   --- Memory Information for device {0} ---", i);
        Console.WriteLine("Total global mem:  {0}", devicePropsContainer.TotalMemory);
        Console.WriteLine("Total constant Mem:  {0}", devicePropsContainer.TotalConstantMemory);
        Console.WriteLine("Max mem pitch:  {0}", devicePropsContainer.MemoryPitch);
        Console.WriteLine("Texture Alignment:  {0}", devicePropsContainer.TextureAlignment);
        Console.WriteLine();

        Console.WriteLine("   --- MP Information for device {0} ---", i);
        Console.WriteLine("Shared mem per mp: {0}", devicePropsContainer.SharedMemoryPerBlock);
        Console.WriteLine("Registers per mp:  {0}", devicePropsContainer.RegistersPerBlock);
        Console.WriteLine("Threads in warp:  {0}", devicePropsContainer.WarpSize);
        Console.WriteLine("Max threads per block:  {0}", devicePropsContainer.MaxThreadsPerBlock);
        Console.WriteLine("Max thread dimensions:  ({0}, {1}, {2})", devicePropsContainer.MaxThreadsSize.x, devicePropsContainer.MaxThreadsSize.y, devicePropsContainer.MaxThreadsSize.z);
        Console.WriteLine("Max grid dimensions:  ({0}, {1}, {2})", devicePropsContainer.MaxGridSize.x, devicePropsContainer.MaxGridSize.y, devicePropsContainer.MaxGridSize.z);

        Console.WriteLine();

        i++;
    }
}

GPGPU.TotalMemory显示出极其巨大的价值

GPGPU.TotalMemory shows extremely huge value

c#

cudafy.net