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SkillsCast

GPU enabled F# numerics

22nd March 2012 in London at Skills Matter

There are 2 other SkillsCasts available from GPU enabled F# numerics

In this talk, Adam Mlocek will show how F# allows us to write elegant .NET numerical code that runs on both CPU and GPU. We will start with a short introduction to F# and GPU programming.

Then we will look at F# implementation of multidimensional matrix library and compare it to Matlab®.

Finally, we will go through 2 simple F#/Matlab® examples of calculating Pi and pricing a euro option by Monte Carlo on both CPU and GPU.

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GPU enabled F# numerics

Adam Mlocek

Adam is the founder of StatFactory Ltd, a company dedicated to development of high performance numerical software with F# API.

SkillsCast

In this talk, Adam Mlocek will show how F# allows us to write elegant .NET numerical code that runs on both CPU and GPU. We will start with a short introduction to F# and GPU programming.

Then we will look at F# implementation of multidimensional matrix library and compare it to Matlab®.

Finally, we will go through 2 simple F#/Matlab® examples of calculating Pi and pricing a euro option by Monte Carlo on both CPU and GPU.

YOU MAY ALSO LIKE:

About the Speaker

GPU enabled F# numerics

Adam Mlocek

Adam is the founder of StatFactory Ltd, a company dedicated to development of high performance numerical software with F# API.