Session

DescriptionWith exascale computing capabilities on the horizon, we have seen a transition to more heterogeneous architectures with various accelerators, such as GPUs. While offering high theoretical peak performance and high memory bandwidth, significant programming investments are necessary to exploit these systems efficiently, a challenge that can no longer be ignored with pre and exascale systems like LUMI and Frontier. CFD is a natural driver for exascale computing, with a virtually unbounded need for computational resources for accurate simulation of turbulent fluid flow, both for academic and engineering usage. However, established CFD codes build on years of verification and validation of their underlying numerical methods, potentially preventing a complete rewrite and rendering disruptive code changes a delicate task. Therefore, porting established codes to accelerators poses several interdisciplinary challenges, from formulating suitable numerical methods to applying sound software engineering practices to cope with disruptive code changes. The wide range of topics makes the exascale CFD transition relevant to a broader audience, extending outside the traditional fluid dynamics community. This minisymposium aims at bringing together the CFD community as a whole, from domain scientists to HPC experts, to discuss current and future challenges towards enabling exascale fluid dynamics simulations on anticipated accelerated systems.