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A Spatio-temporal Coupling Method to Reduce the Time-to-Solution of Cardiovascular Simulations

dc.contributor.author Randles, A
dc.contributor.author Kaxiras, EK
dc.date.accessioned 2017-01-28T15:29:23Z
dc.date.available 2017-01-28T15:29:23Z
dc.date.issued 2017-01-28
dc.identifier.issn 1530-2075
dc.identifier.uri https://hdl.handle.net/10161/13506
dc.description.abstract We present a new parallel-in-time method designed to reduce the overall time-to-solution of a patient-specific cardiovascular flow simulation. Using a modified Para real algorithm, our approach extends strong scalability beyond spatial parallelism with fully controllable accuracy and no decrease in stability. We discuss the coupling of spatial and temporal domain decompositions used in our implementation, and showcase the use of the method on a study of blood flow through the aorta. We observe an additional 40% reduction in overall wall clock time with no significant loss of accuracy, in agreement with a predictive performance model.
dc.publisher IEEE
dc.relation.ispartof http://ieeexplore.ieee.org/abstract/document/6877292/
dc.relation.isversionof 10.1109/IPDPS.2014.68
dc.source IEEE 28th International Parallel and Distributed Processing Symposium
dc.title A Spatio-temporal Coupling Method to Reduce the Time-to-Solution of Cardiovascular Simulations
dc.type Conference
duke.contributor.id Randles, A|0278734
pubs.author-url http://ieeexplore.ieee.org/abstract/document/6877292/
pubs.declined 2017-02-03T12:40:09.382-0500
pubs.declined 2017-02-18T03:42:51.640-0500
pubs.finish-date 2014-05-23
pubs.organisational-group Biomedical Engineering
pubs.organisational-group Computer Science
pubs.organisational-group Duke
pubs.organisational-group Duke Cancer Institute
pubs.organisational-group Institutes and Centers
pubs.organisational-group Mechanical Engineering and Materials Science
pubs.organisational-group Pratt School of Engineering
pubs.organisational-group School of Medicine
pubs.organisational-group Trinity College of Arts & Sciences
pubs.publication-status Published
pubs.start-date 2014-05-19


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