PyFR

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

[PyFR @PyFR_Solver]

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.

[PyFR @PyFR_Solver]

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 https://t.co/c9BIv5rWkW

[PyFR @PyFR_Solver]

The next talk in our online seminar series is TODAY at 3pm UK time! 🚨 - 'Static Deep Stall Analysis Augmented by Numerically Constrained Turbulent Flows' given by Francesco Mario D'Afiero from @KTHuniversity https://t.co/eoK32sSJvv

[Vincent Lab @Vincent_Lab]

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: https://t.co/pfBxdExym3 @aeroimperial @PyFR_Solver

[PyFR @PyFR_Solver]

Next talk in our online seminar series will be given by Bhaskaran Rathakrishnan from @NASAAmes on 'Towards Reentry Capsule Dynamic Stability Prediction: Recent Experience using PyFR for Capsule Wake Flow' - 5pm UK time 5th September https://t.co/KtjMAIj8Iv

[Vincent Lab @Vincent_Lab]

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 🚀 https://t.co/1AMOxwCu4C

[PyFR @PyFR_Solver]

Cache blocking for the OpenMP backend is based on the work of Akkurt et al. https://t.co/mbBDPm6NZL and significantly improves performance of the CPU backend.

[PyFR @PyFR_Solver]

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.

[PyFR @PyFR_Solver]

The Ffowcs Williams–Hawkings implementation allows users to approximate far field noise distributions

[PyFR @PyFR_Solver]

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

[PyFR @PyFR_Solver]

PyFR v2.0.0 released https://t.co/y5U34JALuV

[PyFR @PyFR_Solver]

Next talk in our online seminar series will be given by Tianyang Liang from @KyushuUniv_EN on an 'Actuator Line Model for Wind Turbine Wake Prediction with PyFR' at 1pm UK time on 25th January (today! 🚨) - info/attend via @cassyniapp https://t.co/HbSfgfoKte

[Vincent Lab @Vincent_Lab]

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 🚀⏳ https://t.co/mPkxcp3VsY

[PyFR @PyFR_Solver]

A great way to learn about latest @PyFR_Solver developments and recent applications is to subscribe to our seminar series https://t.co/J9PtUueZui

[PyFR @PyFR_Solver]

Next talk in our online seminar series will be given by Nathan Blanc from @TechnionLive on 'Simulating a Thermoacoustic Engine With PyFR' at 3pm UK time on 19th October - info/attend via @cassyniapp https://t.co/lgw8IgUGjX

[PyFR @PyFR_Solver]

Next talk in our online seminar series will be given by Zhenyang Yuan from @KTHuniversity on 'Numerical Simulations of Aerofoil Tonal Noise Reduction by Roughness Elements' at 3pm UK time on 21st September - info/attend via @cassyniapp https://t.co/TVyYNgRZKx

[Cassyni Seminars @CassyniSeminars]

Check out seminar "Numerical simulations of aerofoil tonal noise reduction by roughness elements" presented by Zhenyang Yuan @KTHuniversity @PyFR_Solver
🗓️Thursday 21st September 2023
📷 3.00 PM (Europe/London)
https://t.co/tQz4sn0FAO