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Accelerator: A data-parallel DSL for programming heterogonous systems

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If you have a question about this talk, please contact Prof Simon Moore.

This presentation introduces Microsoft’s Accelerator system which is a library that provides data-parallel arrays and operations which can be implemented on GPUs, x64 SIMD multicores and FPG As. The library can be used from C++ or any .NET language e.g. C# or F#. We make the case that for certain kinds of computations this system provides a way to write a computation once and then have it instantiated on wildly different kinds of computing resources. We will also highlight differences between Accelerator and other technologies e.g. CUDA , OpenCL and Ct.

This talk is part of the Computer Laboratory Computer Architecture Group Meeting series.

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