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
- 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);
}- 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);
}- 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:
- Base: https://tech-quantum.github.io/Amplifier.NET/
- Articles: https://tech-quantum.github.io/Amplifier.NET/articles/intro.html
- API Reference: https://tech-quantum.github.io/Amplifier.NET/api/Amplifier.html
Please fork the code and suggest improvements by raising PR. Raise issues so that I can make this library robust.