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GPU.NET

| Wednesday, July 27, 2011
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Introducing GPU.NET, a developer platform with it's own Compiler and Runtime to easily hardware-accelerate .NET solutions.

Easily write GPU accelerated programs

    Intuitively write your application using .NET languages like C#, F#, VB.NET*.
        Kernel methods act like any other method, meaning you don’t need to spend time learning a new language or specific GPU's programming model.
    Debug and release correct code more quickly
        Now you can find errors at compile time instead of runtime. GPU.NET is integrated into Microsoft’s Visual Studio, so you can use all of the features you are used to: like IntelliSense, the Error List and more.

GPU.NET Excecution Model

Click here to learn how GPU.NET works

Get results faster than ever before

    Write code that runs orders of magnitude faster than your current code
        with the speed of GPU code written in proprietary languages. Visit our Benchmarks section to learn more.
    Be fast on all hardware architectures, not just one.
        At runtime, GPU.NET uses light-weight JIT compilation to generate code that is mapped to a hardware vendor's instruction set architecture (ISA). Due to our unique plug-in system, your code stays fast, even when the target hardware changes. Click here to view a list of currently supported hardware.


Protect your software investment

    Write code that can be deployed to all of your end users with a single binary!
        GPU.NET lets you create applications that stay 100% managed, meaning they work on 32/64 bit Windows on the .NET framework, or 32/64 bit Linux and Mac OSX through Mono.


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