Freddie D. Witherden

According to our database1, Freddie D. Witherden authored at least 21 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




ZEFR: A GPU-accelerated high-order solver for compressible viscous flows using the flux reconstruction method.
Comput. Phys. Commun., 2020

Inline Vector Compression for Computational Physics.
CoRR, 2020

Experiences with OpenCL in PyFR: 2014-Present.
Proceedings of the IWOCL '20: International Workshop on OpenCL, 2020

Locally adaptive pseudo-time stepping for high-order Flux Reconstruction.
J. Comput. Phys., 2019

Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning.
J. Comput. Phys., 2019

Parameter-Conditioned Sequential Generative Modeling of Fluid Flows.
CoRR, 2019

Fourier Spectrum Discrepancies in Deep Network Generated Images.
CoRR, 2019

Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A parallel direct cut algorithm for high-order overset methods with application to a spinning golf ball.
J. Comput. Phys., 2018

A high-order cross-platform incompressible Navier-Stokes solver via artificial compressibility with application to a turbulent jet.
Comput. Phys. Commun., 2018

Deep Dynamical Modeling and Control of Unsteady Fluid Flows.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Direct Flux Reconstruction Scheme for Advection-Diffusion Problems on Triangular Grids.
J. Sci. Comput., 2017

On the utility of GPU accelerated high-order methods for unsteady flow simulations: A comparison with industry-standard tools.
J. Comput. Phys., 2017

An Analysis of Solution Point Coordinates for Flux Reconstruction Schemes on Tetrahedral Elements.
J. Sci. Comput., 2016

GiMMiK - Generating bespoke matrix multiplication kernels for accelerators: Application to high-order Computational Fluid Dynamics.
Comput. Phys. Commun., 2016

Using the pyMIC Offload Module in PyFR.
CoRR, 2016

Towards green aviation with python at petascale.
Proceedings of the International Conference for High Performance Computing, 2016

On the identification of symmetric quadrature rules for finite element methods.
Comput. Math. Appl., 2015

An Analysis of Solution Point Coordinates for Flux Reconstruction Schemes on Triangular Elements.
J. Sci. Comput., 2014

PyFR: An open source framework for solving advection-diffusion type problems on streaming architectures using the flux reconstruction approach.
Comput. Phys. Commun., 2014

Heterogeneous Computing on Mixed Unstructured Grids with PyFR.
CoRR, 2014