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Scalable parallel preconditioners for an open source cardiac electrophysiology simulation package

Abstract:
The numerical solution of the bidomain equations is a fundamental tool in the field of computational cardiac electrophysiology. The multi-scale nature of the processes involved and the increasing complexity of the tissue and ionic models of interest make the use of High Performance Computing techniques mandatory. The solution of the linear system arising from the Finite Element discretisation of the bidomain equations is the main bottleneck in terms of performance and parallel scalability. In this work we present and evaluate parallel implementations of two problem-specific block preconditioners, namely BD and LDU, in the framework of the open source cardiac electrophysiology simulation package Chaste. Both rely upon providing a reliable and practical method for calculating the action of the inverse of certain matrix subblocks. Our results show that: a) total execution time can be reduced by using different approximation methods for different matrix subblocks, b) there exists a good correlation between the coefficient Δt/h2 and the cases where BD and LDU outperform generic Algebraic Multigrid (AMG) preconditioning, and c) when applied to simulations with current state-of-the-art cardiac geometries, BD and LDU are over 3 times faster than AMG preconditioning and show similar scaling. © 2011 Published by Elsevier Ltd.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.procs.2011.04.087

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Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author


Publisher:
Elsevier
Journal:
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) More from this journal
Volume:
4
Pages:
821-830
Publication date:
2011-01-01
DOI:
EISSN:
1877-0509
ISSN:
1877-0509


Language:
English
Keywords:
UUID:
uuid:94aaa739-c52d-4dcd-bd02-dd000dfb57b4
Local pid:
pubs:327299
Source identifiers:
327299
Deposit date:
2013-11-17

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