Julia for Scientific HPC: Opportunities and Challenges | M. Schlottke-Lakemper | FerriteCon 2023 скачать в хорошем качестве

Julia for Scientific HPC: Opportunities and Challenges | M. Schlottke-Lakemper | FerriteCon 2023

The Julia programming language aims to provide a modern approach to scientific computing and was designed with high-performance computing (HPC) in mind. As a consequence, a growing number of research groups are considering Julia as their language of choice for creating the next generation of computational fluid dynamics or structure mechanics codes. In this talk, we will thus discuss benefits of using Julia for such classical HPC workloads, and examine where challenges remain. For some practical insights, we will take a closer look at Trixi.jl, a numerical simulation framework for hyperbolic conservation laws that has been shown to scale efficiently to more than 50,000 MPI ranks, and share some of the lessons learned during its development. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/JuliaCommunity/You... Interested in improving the auto generated captions? Get involved here: https://github.com/JuliaCommunity/You...