Skip to content
Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.
C# CSS
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.vscode
doc-gen Some more fixes Jun 14, 2019
docs Some more fixes Jun 14, 2019
examples/AmplifierExamples
src/Amplifier.Net Merged Aug 28, 2019
.DS_Store Docs updated Jun 11, 2019
.gitignore .... Jun 5, 2019
Amplifier.NET.sln Fixed Debug Failure Jun 28, 2019
LICENSE
README.md Update README.md Jun 11, 2019
icon_32.png ... Jun 7, 2019

README.md

Amplifier.NET

Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.

Below is the sample Kernel you can write in CSharp

[OpenCLKernel]
void add_float([Global]float[] a, [Global] float[] b, [Global]float[] r)
{
    int i = get_global_id(0);
    b[i] = 0.5f * b[i];
    r[i] = a[i] + b[i];
}

[OpenCLKernel]
void Fill([Global] float[] x, float value)
{
    int i = get_global_id(0);

    x[i] = value;
}

Now this kernel will be converted to C99 format which is specific instruction for OpenCL. Let's do some magic to execute the kernel using OpenCL

  1. Create an instance of OpenCL compiler. You can list all the available devices.
var compiler = new OpenCLCompiler();
Console.WriteLine("\nList Devices----");
foreach (var item in compiler.Devices)
{
    Console.WriteLine(item);
}
  1. Select a device by id and load the Sample kernel created.
compiler.UseDevice(0);
compiler.CompileKernel(typeof(SimpleKernels));

Console.WriteLine("\nList Kernels----");
foreach (var item in compiler.Kernels)
{
    Console.WriteLine(item);
}
  1. Declare variable and do some operation which will run on any hardware selected like Intel CPU/GPU, NVIDIA, AMD etc.
Array a = new float[] { 1, 2, 3, 4 };
Array b = new float[4];
Array r = new float[4];

var exec = compiler.GetExec<float>();
exec.Fill(b, 0.5f);
exec.add_float(a, b, r);

Console.WriteLine("\nResult----");
for(int i = 0;i<r.Length;i++)
{
    Console.Write(r.GetValue(i) + " ");
}

Result:

Documentation

Any contribution is welcome

Please fork the code and suggest improvements by raising PR. Raise issues so that I can make this library robust.

You can’t perform that action at this time.