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# 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. | ||
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Below is the sample Kernel you can write in CSharp | ||
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```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]; | ||
} | ||
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[OpenCLKernel] | ||
void Fill([Global] float[] x, float value) | ||
{ | ||
int i = get_global_id(0); | ||
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x[i] = value; | ||
} | ||
``` | ||
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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 | ||
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1. Create an instance of OpenCL compiler. You can list all the available devices. | ||
```csharp | ||
var compiler = new OpenCLCompiler(); | ||
Console.WriteLine("\nList Devices----"); | ||
foreach (var item in compiler.Devices) | ||
{ | ||
Console.WriteLine(item); | ||
} | ||
``` | ||
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2. Select a device by id and load the Sample kernel created. | ||
```csharp | ||
compiler.UseDevice(0); | ||
compiler.CompileKernel(typeof(SimpleKernels)); | ||
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Console.WriteLine("\nList Kernels----"); | ||
foreach (var item in compiler.Kernels) | ||
{ | ||
Console.WriteLine(item); | ||
} | ||
``` | ||
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3. Declare variable and do some operation which will run on any hardware selected like Intel CPU/GPU, NVIDIA, AMD etc. | ||
```csharp | ||
Array a = new float[] { 1, 2, 3, 4 }; | ||
Array b = new float[4]; | ||
Array r = new float[4]; | ||
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var exec = compiler.GetExec<float>(); | ||
exec.Fill(b, 0.5f); | ||
exec.add_float(a, b, r); | ||
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Console.WriteLine("\nResult----"); | ||
for(int i = 0;i<r.Length;i++) | ||
{ | ||
Console.Write(r.GetValue(i) + " "); | ||
} | ||
``` | ||
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## Documentation | ||
Coming soon.... | ||
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## Any contribution is welcome |