Heterogeneous Computing on Mixed Unstructured Grids with PyFR
Department of Aeronautics, Imperial College London, SW7 2AZ
arXiv:1409.0405 [physics.flu-dyn], (1 Sep 2014)
@article{2014arXiv1409.0405W,
author={Witherden}, F.~D. and {Vermeire}, B.~C. and {Vincent}, P.~E.},
title={"{Heterogeneous Computing on Mixed Unstructured Grids with PyFR}"},
journal={ArXiv e-prints},
archivePrefix={"arXiv"},
eprint={1409.0405},
primaryClass={"physics.flu-dyn"},
keywords={Physics – Fluid Dynamics, Computer Science – Computational Engineering, Finance, and Science, Physics – Computational Physics},
year={2014},
month={sep},
adsurl={http://adsabs.harvard.edu/abs/2014arXiv1409.0405W},
adsnote={Provided by the SAO/NASA Astrophysics Data System}
}
PyFR is an open-source high-order accurate computational fluid dynamics solver for mixed unstructured grids that can target a range of hardware platforms from a single codebase. In this paper we demonstrate the ability of PyFR to perform high-order accurate unsteady simulations of flow on mixed unstructured grids using heterogeneous multi-node hardware. Specifically, after benchmarking single-node performance for various platforms, PyFR v0.2.2 is used to undertake simulations of unsteady flow over a circular cylinder at Reynolds number 3 900 using a mixed unstructured grid of prismatic and tetrahedral elements on a desktop workstation containing an Intel Xeon E5-2697 v2 CPU, an NVIDIA Tesla K40c GPU, and an AMD FirePro W9100 GPU. Both the performance and accuracy of PyFR are assessed. PyFR v0.2.2 is freely available under a 3-Clause New Style BSD license (see www.pyfr.org).
September 2, 2014 by hgpu
