F# has a number of features that support language oriented programming (LOP) – the ability to create an abstract description of a problem then have this description executed in another environment. In this talk we’ll look at the design of an F# library that uses LOP techniques to a user execute matrix calculations either on the CPU or GPU. We’ll examine the features that F# provides to support this technique. We’ll start by taking a look at union types and active patterns, and then we’ll see how these are used by F#’s quotation system to give access to an abstract description of functions. Finally, we’ll see how these descriptions of functions can then be translated into computations the GPU understands and executed.

Just a thought...
If you want to learn more about F# and Functional Programming, check out Robert Pickering's Beginning F# Workshop.

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