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.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.identifier.issn | 1530-2075 | |
| dc.identifier.uri | ||
| dc.publisher | IEEE | |
| dc.relation.ispartof | ||
| 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 | |
| pubs.author-url | ||
| 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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