This webinar covers different Julia packages and programming models for working with GPUs, how to install and use them, and what tools are available to efficiently develop a GPU application or accelerate an existing code base.

We will also focus on NVIDIA hardware using CUDA software, but solutions for other vendors will be mentioned as well.

The webinar was be led by Dr. Tim Besard. He is a software engineer at Julia Computing, working on GPU support for the Julia language. He holds a Ph.D. in computer science engineering from Ghent University, Belgium, for research on abstractions to program hardware accelerators in high-level programming languages.

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