- Montréal 2016
General-purpose computing on the GPU (GPGPU) is no longer the domain of pure academic research. It is being used in real-world applications such as image processing and face recognition, cryptography, big data analysis, and Bitcoin mining. In this session we will examine the available GPGPU frameworks, learn how to integrate GPU processing into our regular .NET and Java applications, and see demonstrations of some interesting GPGPU use-cases.
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David is a Principal Architect at Proofpoint, a software developer and architect with over 20 years of industry experience, trainer, and author of multiple courses and books. He specializes in big data systems, NoSQL, distributed architectures and cloud computing. When not working, he spends far too much time playing strategy video games and strenuously avoiding physical exercise.