PyFR v2.0.3: Towards Industrial Adoption of Scale-Resolving Simulations
Abstract
PyFR is an open-source cross-platform computational fluid dynamics framework based on the high-order Flux Reconstruction approach, specifically designed for undertaking high-accuracy scale-resolving simulations in the vicinity of complex engineering geometries. Since the initial release of PyFR v0.1.0 in 2013, a range of new capabilities have been added to the framework, with a view to enabling industrial adoption of the capability. This paper provides details of those enhancements as released in PyFR v2.0.3, explains efforts to grow an engaged developer and user community, and provides latest performance and scaling results on up to 1024 AMD Instinct MI250X accelerators of Frontier at ORNL (each with two GCDs), and up to 2048 NVIDIA GH200 GPUs on Alps at CSCS.
Keywords
Cite
@article{arxiv.2408.16509,
title = {PyFR v2.0.3: Towards Industrial Adoption of Scale-Resolving Simulations},
author = {Freddie D. Witherden and Peter E. Vincent and Will Trojak and Yoshiaki Abe and Amir Akbarzadeh and Semih Akkurt and Mohammad Alhawwary and Lidia Caros and Tarik Dzanic and Giorgio Giangaspero and Arvind S. Iyer and Antony Jameson and Marius Koch and Niki Loppi and Sambit Mishra and Rishit Modi and Gonzalo Sáez-Mischlich and Jin Seok Park and Brian C. Vermeire and Lai Wang},
journal= {arXiv preprint arXiv:2408.16509},
year = {2024}
}