High-Order Massively-Parallel Multi-Platform Open Source Computational Fluid Dynamics

London
Joined September 2013
PyFR v2.0.0 is a major release with many new and exciting features, including: a Metal backend, more robust shock capturing, in-situ visualisation, turbulence injection, a Ffowcs Williams-Hawkings implementation, and cache blocking for the OpenMP backend.
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Excited to share our latest PyFR paper - detailing a range of new features - along with various examples of how the code is now being used 'in the wild' and recent performance and scaling results on Frontier @ORNL and Alps @cscsch sciencedirect.com/science/ar…
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A fully funded PhD position on 'High-Fidelity Simulation of Titan/Mars Entry Vehicles with PyFR' is now open for applications - full details and instructions on how to apply can be found here: vincentlab.org/openings/ae00… @aeroimperial @PyFR_Solver
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Checkout latest paper on cache blocking for Flux Reconstruction and its extension to Navier-Stokes equations and anti-aliasing in @PyFR_Solver - resulting in an up to 3.91x performance boost for the CPU backend 🚀 doi.org/10.1016/j.cpc.2024.1…
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The Ffowcs Williams–Hawkings implementation allows users to approximate far field noise distributions
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Cache blocking for the OpenMP backend is based on the work of Akkurt et al. doi.org/10.1016/j.cpc.2021.1… and significantly improves performance of the CPU backend.
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v2.0.0 = v1.15.0 + added a Metal backend + improved shock capturing via entropy based filtering + in-situ visualisation plugin + turbulence injection plugin + Ffowcs Williams-Hawkings plugin + cache blocking for OpenMP backend
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PyFR v2.0.0 released pyfr.org
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Checkout this exciting opportunity to join our group and work on developing and applying @PyFR_Solver to real-world industrial flow problems with a stellar team of academic and industrial partners from across the EU - closing date 4th February 🚀⏳ jobs.ac.uk/job/DFD116/resear…
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A great way to learn about latest @PyFR_Solver developments and recent applications is to subscribe to our seminar series cassyni.com/s/pyfr
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