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.

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

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

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

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

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

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.

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

The turbulence injection capability uses the synthetic eddy method described by Giangaspero et al. which allows free stream turbulence to be injection into any area of the computational domain

The new insitu-visualisation capability leverages the amazing Ascent framework, so PyFR can now export .png images of multiple views on the fly as the simulation is running https://t.co/QGJGuY0p3V

The new shock capturing implementation employs the entropy based filtering approach of Dzanic and Witherden https://t.co/2HjYoXzXIn, providing sub-cell resolution without problem-dependent parameter tuning.

The Metal backend allows PyFR to leverage the power of @Apple GPUs on modern Macs.

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 v2.0.0 released

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

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 🚀⏳

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

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

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

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