CUDA.jl 3.0
07-29, 12:30–13:00 (UTC), Blue

An overview and demonstration of the new features in CUDA.jl 3.0, most notably support for concurrent GPU programming.

CUDA.jl 3.0 was a major release of the NVIDIA GPU programming support package for Julia, with a major addition to the programming model: support for concurrent GPU programming with Julia tasks. In this talk, I will explain what concurrent GPU programming means, how it works, and how you can use it to improve your GPU programs.

I will also talk about other features and changes that are part of CUDA.jl 3.0 and more recent releases, such as the new device-side random number generator, support for building computational graphs, the new memory allocator, etc.

I'm a software engineer at Julia Computing, working on Julia's GPU packages and compilers.

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