# PyFR-bench

**Repository Path**: avicari/PyFR-bench

## Basic Information

- **Project Name**: PyFR-bench
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-24
- **Last Updated**: 2024-10-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Benchmark suite for PyFR

The objective here is to develop a benchmark for multi node multi-gpu runs for
PyFR [1].

The benchmarks are based on the supplementary material of [2]. Minor changes to
the files had to be introduced to keep up with the PyFR version. The target
architecture is Power8 with 4 GPUs each. There are some specific LSF Data Mover
commands due to the adoption of DMD at Daresbury.

## Isentropic vortex

WIP

## Cylinder 3D

## SD7003

WIP

**References**

1. [PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on
Streaming Architectures using the Flux Reconstruction Approach. F. D.
Witherden, A. M. Farrington, P. E. Vincent. Computer Physics Communications,
Volume 185, Pages 3028-3040, 2014.](http://www.pyfr.org/)

2.  B.C. Vermeire, F.D. Witherden, P.E. Vincent, On the utility of GPU
accelerated high-order methods for unsteady flow simulations: A comparison
with industry-standard tools, Journal of Computational Physics, Volume 334, 1
April 2017, Pages 497-521, ISSN 0021-9991,
[http://dx.doi.org/10.1016/j.jcp.2016.12.049](http://dx.doi.org/10.1016/j.jcp.2016.12.049).