sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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A Multiple Time Stepping Algorithm for Efficient Multiscale Modeling of Platelets Flowing in Blood Plasma

SESSION: Poster Reception


TIME: 5:15PM - 7:00PM

AUTHOR(S):Na Zhang, Peng Zhang, Li Zhang, Danny Bluestein, Yuefan Deng

ROOM:New Orleans Theater Lobby


Numerical simulation of complex biological systems is an immense computational and algorithmic challenge primarily due to modeling complexity and disparate spatiotemporal scales of the mechanisms occur. We develop a parallel multiscale multiple time-stepping (MTS) algorithm for exploring the mechanisms at disparate spatiotemporal scales. Specifically, we apply our algorithm on parallel computers to study flow-induced platelet-mediated thrombogenicity. This MTS algorithm improves considerably computational efficiency without significant loss of accuracy. This poster presents mathematical models and multiscale methods for study of dynamic properties of flowing platelets, multiscale parallel algorithms for reducing computing time, implementation, and quantitative analysis of performance metrics versus accuracy metrics. This MTS algorithm establishes a computationally feasible approach for performing efficient multiscale simulations.

Chair/Author Details:

Na Zhang - Stony Brook University

Peng Zhang - Stony Brook University

Li Zhang - Stony Brook University

Danny Bluestein - Stony Brook University

Yuefan Deng - Stony Brook University

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