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Wednesday, June 21 • 2:06pm - 2:42pm
Programming NVIDIA GPUs in Julia with CUDAnative.jl

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GPUs have typically been programmed using low-level languages like CUDA and OpenCL, providing full control over the hardware at the expense of developer efficiency. CUDAnative.jl makes it possible to program GPUs directly from Julia, in the case you need the flexibility to write your own kernel functions, without having to fall back to CUDA C or binary libraries.

In this talk, I will give an overview of CUDAnative.jl with its features and restrictions, explain the technology behind it, and sketch our future plans.

avatar for Tim Besard

Tim Besard

PhD student, Ghent University
PhD student on compilation techniques for high-level languages, working on the Julia programming language and its CUDAnative.jl GPU back-end.

Wednesday June 21, 2017 2:06pm - 2:42pm PDT
East Pauley Pauley Ballroom, Berkeley, CA