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It all started as a hobby project to easily access CUDA from C# - at that time CUDA was available in version 3. Now more than 10 years later, managedCuda is still alive and is updated regularly by me to the latest versions of CUDA. In order to support further developments, I switched from the LGPL license to a dual-license GPLv3 / commercial license starting with managedCuda for Cuda version 12 onwards. In case you plan to use managedCuda 12 for a commercial project, please contact me by mail: managedcuda@articimaging.eu. If you use the open-source license and want to contribute to future development, you can donate me a beer here: Support via PayPal

Official nuget packages

One can find multiple packages for managedCuda on nuget, but the official packages are:

managedCuda

ManagedCUDA aims an easy integration of NVidia's CUDA in .net applications written in C#, Visual Basic or any other .net language.

For this it includes:

CudaDeviceVariable<float> devVar = new CudaDeviceVariable<float>(64);
devVar[0] = 1.0f;
devVar[1] = 2.0f;
float hostVar1 = devVar[0];
float hostVar2 = devVar[1];
float3[] array_host = new float3[100];
for (int i = 0; i < 100; i++)
{
	array_host[i] = new float3(i, i+1, i+2);
}
//alloc device memory and copy data:
CudaDeviceVariable<float3> array_device = array_host;
//alloc host array and copy data: 
float3[] array_host2 = array_device; 
Random rand = new Random();
int length = 256;

//init some ramdom values
double[] randoms = new double[length];
for (int i = 0; i < length; i++)
{
	randoms[i] = rand.NextDouble();
}

//Alloc device memory
CudaDeviceVariable<double> a = randoms;
CudaDeviceVariable<double> b = new CudaDeviceVariable<double>(length);
b.Set(10.0); //NPPs method
int size = a.MeanGetBufferSize(); //NPPs method
//Alloc temporary memory for NPPs mean method
CudaDeviceVariable<byte> buffer = new CudaDeviceVariable<byte>(size);
CudaDeviceVariable<double> mean = new CudaDeviceVariable<double>(1);

a.Mul(b); //NPPs method
a.DivC(10.0); //NPPs method
a.Mean(mean, buffer); //NPPs method

//Copy data back to host
double m = mean;
double[] res = a;

//Clean up
mean.Dispose();
buffer.Dispose();
b.Dispose();
a.Dispose();

Note about Cuda context

Nvidia changed the cuda context behavior in the cuda libraries (NPP, Cufft, etc.) why it is highly recommended to use a PrimaryContext instead of a CudaContext when using ManagedCUDA together with Cuda libraries. To create a PrimaryContext in ManagedCUDA, use the following lines of code:

int deviceID = 0;
PrimaryContext ctx = new PrimaryContext(deviceID);
// Set current to CPU thread, mandatory for a PrimaryContext
ctx.SetCurrent();

NppStreamContext

In order to use the NppStreamContext-API of NPP, initialize a NppStreamContext like this:

CudaStream cudaStream = new CudaStream();          //optional, 
NPPNativeMethods.NPPCore.nppSetStream(cudaStream); //if not set, NPP will work on the default null-stream
NppStreamContext nppCtx = NPPNativeMethods.NPPCore.nppGetStreamContext();