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InfoQ Homepage Presentations Taming GPU Threads with F#

Taming GPU Threads with F#

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Summary

Daniel Egloff overviews Alea, an F# alternatives to CUDA C/C++ and OpenCL C++, showing how to write GPU scripts and perform dynamic compilation in F#.

Bio

Daniel Egloff is partner at InCube and founder of QuantAlea, a software company specialized in quantitative methods and high performance computing for the financial industry. Before setting up QuantAlea he spent more than fifteen years in the financial service industry, working in derivative pricing, risk management, and high performance computing.

About the conference

Code Mesh, the Alternative Programming Conference, focuses on promoting useful non-mainstream technologies to the software industry. The underlying theme is "the right tool for the job", as opposed to automatically choosing the tool at hand. By bringing together users and inventors of different languages and technologies (new and old), speakers will get the opportunity to inspire, to share experience, and to increase insight. Via presentations and case studies, we aim to raise awareness and extend the knowledge of all participants, mainstream and non-main stream users alike.

Recorded at:

May 01, 2015

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