High Performance F#, in .NET and on the GPU with Jack Pappas

I'll discuss the benefits of using F# to build large .NET-based applications, and show how you can leverage F# language features to build robust, high-performance code. I'll follow this with some general background on parallel and GPU computing, then preview some upcoming features of GPU .NET – including support for F#.

Jack Pappas is CEO and Co-Founder of TidePowerd (http://www.tidepowerd.com (http://www.tidepowerd.com/)), a company building tools for numerical software development. Jack has a background in numerical analysis and optimization and he primarily develops in F# and C#.