Peter E. Vincent

Orcid: 0000-0002-1314-8827

According to our database1, Peter E. Vincent authored at least 27 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Cache Blocking for Flux Reconstruction: Extension to Navier-Stokes Equations and Anti-aliasing.
CoRR, 2024

2022
Identification and Classification of Off-Vertex Critical Points for Contour Tree Construction on Unstructured Meshes of Hexahedra.
IEEE Trans. Vis. Comput. Graph., 2022

Cache blocking strategies applied to flux reconstruction.
Comput. Phys. Commun., 2022

2021
On nodal point sets for flux reconstruction.
J. Comput. Appl. Math., 2021

2020
Optimal embedded pair Runge-Kutta schemes for pseudo-time stepping.
J. Comput. Phys., 2020

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

2019
Optimal Runge-Kutta schemes for pseudo time-stepping with high-order unstructured methods.
J. Comput. Phys., 2019

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

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

Towards In-Situ Vortex Identification for Peta-Scale CFD Using Contour Trees.
Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018

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

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

On the Connections Between Discontinuous Galerkin and Flux Reconstruction Schemes: Extension to Curvilinear Meshes.
J. Sci. Comput., 2016

On the properties of energy stable flux reconstruction schemes for implicit large eddy simulation.
J. Comput. Phys., 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

2015
Dealiasing techniques for high-order spectral element methods on regular and irregular grids.
J. Comput. Phys., 2015

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

2014
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

2013
Energy stable flux reconstruction schemes for advection-diffusion problems on triangles.
J. Comput. Phys., 2013

2012
On the Non-linear Stability of Flux Reconstruction Schemes.
J. Sci. Comput., 2012

A New Class of High-Order Energy Stable Flux Reconstruction Schemes for Triangular Elements.
J. Sci. Comput., 2012

2011
A New Class of High-Order Energy Stable Flux Reconstruction Schemes.
J. Sci. Comput., 2011

Insights from von Neumann analysis of high-order flux reconstruction schemes.
J. Comput. Phys., 2011


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