F# and GPUs are two trailblazing yet unrelated technologies. F# is a uniquely productive language to solve complex problems in a clear and concise way. On the other hand GPUs offer an immense computational power to solve large number crunching tasks fast and efficiently.

Our presentation shows how to wed the two technologies F# and GPUs with the help of Alea.CUDA. Alea.CUDA is our new framework and compiler service for GPU computing.

It extends F# with the key CUDA concepts and allows to compile F# code quotations to an executable GPU code. I will briefly introduce Alea.CUDA and show you – by means of several live coding examples – how it can be used to develop GPU algorithms entirely in F# with the full flexibility of CUDA-C.

Besides getting an understanding of the main features of Alea.CUDA you will become familiar with some of the basic GPU computing paradigms.

To round off the presentation I shall reveal some of the implementational aspects of Alea.CUDA.

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