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

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Date
2017-01-28
Authors
Randles, A
Kaxiras, EK
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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.
Type
Conference
Permalink
https://hdl.handle.net/10161/13506
Published Version (Please cite this version)
10.1109/IPDPS.2014.68
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Scholars@Duke

Randles

Amanda Randles

Alfred Winborne and Victoria Stover Mordecai Assistant Professor of Biomedical Sciences
My research in biomedical simulation and high-performance computing focuses on the development of new computational tools that we use to provide insight into the localization and development of human diseases ranging from atherosclerosis to cancer. 
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