2026-08-13 –, Room 3
Major improvements and features have been implemented in Metal.jl since this package was last discussed at JuliaCon. This talk will highlight some of the more meaningful user-facing feature additions, performance and quality of life improvements, as well as significant bug fixes.
Many researchers use Apple silicon devices as their day-to-day computer. Metal has the potential to remove the need for a separate computer to run certain computations and analyses. We’ll cover improvements to support for the core metal API, potential showstopper issues that have been fixed, as well as well as some heavily requested features that were recently added that makes Metal.jl a viable option for an increasing number of use-cases.
I have been contributing to the Julia ecosystem since 2022. I help maintain Metal.jl, as well contribute to the rest of the JuliaGPU ecosystem and related repositories.