GRChombo


A new AMR based open-source code for numerical relativity simulations.


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We would be grateful if, when using GRChombo, you cited
Andrade et al. (2021),   Clough et al. (2015).

About

GRChombo is a new open-source code for numerical relativity simulations. It is developed and maintained by a collaboration of numerical relativists with a wide range of research interests, from early universe cosmology to astrophysics and mathematical general relativity, and has been used in many papers since its first release in 2015.

GRChombo is written entirely in C++14, using hybrid MPI/OpenMP parallelism and vector intrinsics to achieve good performance on the latest architectures. Furthermore, it makes use of the Chombo library for adaptive mesh refinement to allow automatic increasing and decreasing of the grid resolution in regions of arbitrary shape and topology.

Features

Adaptive Mesh Refinement

C++

MPI / OpenMP / SIMD

Meet the Team

Developers and Users

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Tomas Andrade

University of Barcelona

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Llibert Areste Salo

Queen Mary University of London

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Josu Aurrekoetxea

University of Oxford

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Jamie Bamber

University of Oxford

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Katy Clough

Queen Mary University of London

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Robin Croft

University of Cambridge

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Eloy de Jong

King’s College London

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Amelia Drew

University of Cambridge

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Matt Elley

King’s College London

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Tamara Evstafyeva

University of Cambridge

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Pau Figueras

Queen Mary University of London

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Tiago França

Queen Mary University of London

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Bo-Xuan Ge

King’s College London

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Chenxia Gu

Queen Mary University of London

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Thomas Helfer

Johns Hopkins University

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Cristian Joana

ITP-CAS

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Liina Jukko

King’s College London

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Kacper Kornet

University of Cambridge

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Eugene Lim

King’s College London

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James Marsden

University of Oxford

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Francesco Muia

University of Cambridge

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Zainab Nazari

Bogazici University and ICTP

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Miren Radia

University of Cambridge

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Justin Ripley

University of Cambridge

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Lorenzo Rossi

Queen Mary University of London

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Dina Traykova

Max Planck Institute

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Zipeng Wang

Johns Hopkins University

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Kaze Wong

Johns Hopkins University

Friends

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Michalis Agathos

University of Cambridge

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Emanuele Berti

Johns Hopkins University

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Pedro Ferreira

University of Oxford

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Paul Shellard

University of Cambridge

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Ulrich Sperhake

University of Cambridge

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Helvi Witek

University of Illinois at Urbana-Champaign

Movies

These are some 3D visualisations from simulations that used GRChombo. Click here for more movies!

Useful Material

We have put together the following set of documentation which we hope will help you to get started using GRChombo.



Supported by (a) Intel (b) UKRI/STFC (c) Royal Society (d) ERC (e) PRACE (f) DiRAC.