High-performance computing with the Julia language

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• Mosè Giordano - Principal RSE, UCL ARC
• Thursday 12 March 2026, 13:00-14:00
• Room C, West Hub.

If you have a question about this talk, please contact Jack Atkinson.

High-performance computing is becoming increasingly heterogeneous, from the spread of different GPU families, to the rise of new specialised accelerators, in particular related to the machine learning domain.

In this talk we will cover some of the tools available to do high-performance computing with the Julia programming language: from distributed computing with MPI , to accelerating numerical code on GPUs, with particular focus on vendor-agnostic solutions such as KernelAbstractions.jl, to ensure portability. We will also show some real-world scientific software which successfully employed the Julia language to scale their applications up to hundreds of computing nodes and/or GPUs. Finally, we’ll have a brief look at the development of recent and experimental Julia tools in the area of specialised accelerators.

This talk is part of the RSE Seminars series.

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