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Large-scale adaptive mantle convection simulation

Burstedde, Carsten and Stadler, Georg and Alisic, Laura and Wilcox, Lucas C. and Tan, Eh and Gurnis, Michael and Ghattas, Omar (2013) Large-scale adaptive mantle convection simulation. Geophysical Journal International, 192 (3). pp. 889-906. ISSN 0956-540X. doi:10.1093/gji/ggs070. https://resolver.caltech.edu/CaltechAUTHORS:20130325-141550599

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Abstract

A new generation, parallel adaptive-mesh mantle convection code, Rhea, is described and benchmarked. Rhea targets large-scale mantle convection simulations on parallel computers, and thus has been developed with a strong focus on computational efficiency and parallel scalability of both mesh handling and numerical solvers. Rhea builds mantle convection solvers on a collection of parallel octree-based adaptive finite element libraries that support new distributed data structures and parallel algorithms for dynamic coarsening, refinement, rebalancing and repartitioning of the mesh. In this study we demonstrate scalability to 122 880 compute cores and verify correctness of the implementation. We present the numerical approximation and convergence properties using 3-D benchmark problems and other tests for variable-viscosity Stokes flow and thermal convection.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1093/gji/ggs070 DOIUNSPECIFIED
http://gji.oxfordjournals.org/content/192/3/889PublisherUNSPECIFIED
ORCID:
AuthorORCID
Gurnis, Michael0000-0003-1704-597X
Additional Information:© 2013 The Authors. Published by Oxford University Press on behalf of The Royal Astronomica. Accepted 2012 November 13. Received 2012 October 31; in original form 2012 March 20. First published online: January 10, 2013. The authors would like to thank Shijie Zhong for discussion and feedback. The NSF PetaApps program (OCI-0749334, OCI-0748898), the NSF CDI program (CMMI-1028889, CMMI-1028978), TeraGrid allocation (TG-MCA04N026) and further grants (EAR-0426271, EAR-0810303, DMS-072474) are gratefully acknowledged, as well as funding by the DOE Office of Science (DE-FC02-06ER25782, DE-SC0002710) and support by the Caltech Tectonics Observatory (by the Gordon and Betty Moore Foundation). The Texas Advanced Computing Center (TACC) and Oak Ridge National Laboratories provided outstanding help and support for our use of the Ranger and Jaguar supercomputers, respectively.
Group:Caltech Tectonics Observatory, Seismological Laboratory
Funders:
Funding AgencyGrant Number
NSF PetaAppsOCI-0749334
NSF PetaAppsOCI-0748898
NSF CDICMMI-1028889
NSF CDICMMI-1028978
NSF TeraGridTG-MCA04N026
NSFEAR-0426271
NSFEAR-0810303
NSFDMS-072474
Department of Energy (DOE) Office of ScienceDE-FC02-06ER25782
Department of Energy (DOE) Office of ScienceDE-SC0002710
Caltech Tectonics ObservatoryUNSPECIFIED
Gordon and Betty Moore FoundationUNSPECIFIED
Subject Keywords:Numerical solutions; Mantle processes; Dynamics: convection currents; and mantle plumes
Issue or Number:3
DOI:10.1093/gji/ggs070
Record Number:CaltechAUTHORS:20130325-141550599
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20130325-141550599
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:37613
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:25 Mar 2013 22:27
Last Modified:09 Nov 2021 23:30

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