Published March 2013 | Version Published
Journal Article Open

Large-scale adaptive mantle convection simulation

  • 1. ROR icon The University of Texas at Austin
  • 2. ROR icon University of Bonn
  • 3. ROR icon California Institute of Technology
  • 4. ROR icon University of Cambridge
  • 5. ROR icon Naval Postgraduate School
  • 6. ROR icon Institute of Earth Sciences, Academia Sinica

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.

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.

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Published - Geophys._J._Int.-2013-Burstedde-889-906.pdf

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Additional details

Identifiers

Eprint ID
37613
Resolver ID
CaltechAUTHORS:20130325-141550599

Funding

NSF PetaApps
OCI-0749334
NSF PetaApps
OCI-0748898
NSF CDI
CMMI-1028889
NSF CDI
CMMI-1028978
NSF TeraGrid
TG-MCA04N026
NSF
EAR-0426271
NSF
EAR-0810303
NSF
DMS-072474
Department of Energy (DOE) Office of Science
DE-FC02-06ER25782
Department of Energy (DOE) Office of Science
DE-SC0002710
Caltech Tectonics Observatory
Gordon and Betty Moore Foundation

Dates

Created
2013-03-25
Created from EPrint's datestamp field
Updated
2021-11-09
Created from EPrint's last_modified field

Caltech Custom Metadata