SpECTRE: A Task-based Discontinuous Galerkin Code for Relativistic Astrophysics
September 01, 2016 Β· Declared Dead Β· π Journal of Computational Physics
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Authors
Lawrence E. Kidder, Scott E. Field, Francois Foucart, Erik Schnetter, Saul A. Teukolsky, Andy Bohn, Nils Deppe, Peter Diener, FranΓ§ois HΓ©bert, Jonas Lippuner, Jonah Miller, Christian D. Ott, Mark A. Scheel, Trevor Vincent
arXiv ID
1609.00098
Category
astro-ph.HE
Cross-listed
cs.DC,
gr-qc,
physics.comp-ph
Citations
101
Venue
Journal of Computational Physics
Last Checked
3 months ago
Abstract
We introduce a new relativistic astrophysics code, SpECTRE, that combines a discontinuous Galerkin method with a task-based parallelism model. SpECTRE's goal is to achieve more accurate solutions for challenging relativistic astrophysics problems such as core-collapse supernovae and binary neutron star mergers. The robustness of the discontinuous Galerkin method allows for the use of high-resolution shock capturing methods in regions where (relativistic) shocks are found, while exploiting high-order accuracy in smooth regions. A task-based parallelism model allows efficient use of the largest supercomputers for problems with a heterogeneous workload over disparate spatial and temporal scales. We argue that the locality and algorithmic structure of discontinuous Galerkin methods will exhibit good scalability within a task-based parallelism framework. We demonstrate the code on a wide variety of challenging benchmark problems in (non)-relativistic (magneto)-hydrodynamics. We demonstrate the code's scalability including its strong scaling on the NCSA Blue Waters supercomputer up to the machine's full capacity of 22,380 nodes using 671,400 threads.
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