ComputeSharp 2.0.0-alpha.22

What is it?

ComputeSharp is a .NET library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders. The available APIs let you access GPU devices, allocate GPU buffers and textures, move data between them and the RAM, write compute shaders entirely in C# and have them run on the GPU. The goal of this project is to make GPU computing easy to use for all .NET developers! 🚀

Quick start

ComputeSharp exposes a GraphicsDevice class that acts as entry point for all public APIs. The available GraphicsDevice.Default property that lets you access the main GPU device on the current machine, which can be used to allocate buffers and perform operations. If your machine doesn't have a supported GPU (or if it doesn't have a GPU at all), ComputeSharp will automatically create a WARP device instead, which will still let you use the library normally, with shaders running on the CPU instead through an emulation layer. This means that you don't need to manually write a fallback path in case no GPU is available - ComputeSharp will automatically handle this for you.

Let's suppose we want to run a simple compute shader that multiplies all items in a target buffer by two. The first step is to create the GPU buffer and copy our data to it:

// Get some sample data
int[] array = Enumerable.Range(1, 100).ToArray();

// Allocate a GPU buffer and copy the data to it.
// We want the shader to modify the items in-place, so we
// can allocate a single read-write buffer to work on.
using ReadWriteBuffer<int> buffer = GraphicsDevice.Default.AllocateReadWriteBuffer(array);

The AllocateReadWriteBuffer extension takes care of creating a ReadWriteBuffer<T> instance with the same size as the input array and copying its contents to the allocated GPU buffer. There are a number of overloads available as well, to create buffers of different types and with custom length.

Next, we need to define the GPU shader to run. To do this, we'll need to define a partial struct type implementing the IComputeShader interface (note that the partial modifier is necessary for ComputeSharp to generate additional code to run the shader). This type will contain the code we want to run on the GPU, as well as fields representing the values we want to capture and pass to the GPU (such as GPU resources, or arbitrary values we need). In this case, we only need to capture the buffer to work on, so the shader type will look like this:

[AutoConstructor]
public readonly partial struct MultiplyByTwo : IComputeShader
{
    public readonly ReadWriteBuffer<int> buffer;

    public void Execute()
    {
        buffer[ThreadIds.X] *= 2;
    }
}

We're using the [AutoConstructor] attribute included in ComputeSharp, which creates a constructor for our type automatically. The shader body is also using a special ThreadIds class, which is one of the available special classes to access dispatch parameters from within a shader body. In this case, ThreadIds lets us access the current invocation index for the shader, just like if we were accessing the classic i variable from within a for loop.

We can now finally run the GPU shader and copy the data back to our array:

// Launch the shader
GraphicsDevice.Default.For(buffer.Length, new MultiplyByTwo(buffer));

// Get the data back
buffer.CopyTo(array);

NOTE: this sample assumes that ComputeSharp.Dynamic is also installed. For info on how to only use precompiled shaders with the base ComputeSharp package, see the complete readme on GitHub.

There's more!

For a complete list of all features available in ComputeSharp, check the documentation in the GitHub repo.