Compute & Accelerator Forum - Julia and GPUs

Wednesday 11 Jun 2025, 16:30 → 18:00 Europe/Zurich

CERN

This Compute and Accelerator Forum is co-organised with the EVERSE Network, part of the EOSC-EVERSE project that promotes and develops research software quality.

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Video (YouTube)

16:30 → 16:35 News

Speakers: Benjamin Morgan (University of Warwick (GB)), Graeme A Stewart (CERN), Dr Maria Girone (CERN), Michael Bussmann, Stefan Roiser (CERN)

CAF_EVERSE Introduction, 2025-06-11.pdf

16:35 → 17:30 Julia on GPUs for fun and profit

The conventional wisdom states that high-level dynamic programming languages are seldomly performant, ill-suited for high-performance computing, and impossible to execute on GPUs. If one wants to use a high-level language in HPC, it is merely for sugar-coating over some C++/Fortran behemoth or as an interface to machine learning libraries. Yet, one small village of indomitable optimists still holds out against the C++ hegemony. Julia is a high-level dynamic programming language created with scientific computing and performance in mind. It provides a GPU computing stack that compiles Julia directly to various GPU architectures.

In this talk, I will cover the basics of GPU computing in Julia, how to write portable GPU kernels and programs, and give some insight into how the compiler stack behind it all works.

Speaker: Valentin Churavy (University of Augsburg)

Julia on GPUs for fun and profit