sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Efficient Multiscale Platelets Modeling Using Supercomputers

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, ACM Student Research Competition Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Na Zhang

ROOM:Level 4 - Lobby


This work focuses on developing multiscale models and efficient numerical algorithms for simulating platelets on supercomputers. More specifically, the development of multiple time-stepping algorithm can be applied to optimally use computing resources to model platelet structures at multiple scales, enabling the study of flow-induced platelet-mediated thrombogenicity. In order to achieve this, sophisticated parallel computing algorithms are developed and detailed performance analysis has been conducted. The performance results manifest the possibility of simulating the millisecond-scale hematology at resolutions of nanoscale platelets and mesoscale bio-flows using millions of particles. The computational methodology using multiscale models and algorithms on supercomputers will enable efficient predictive simulations for initial thrombogenicity study and may provide a useful guide for exploring mechanisms of other complex biomedical problems at disparate spatiotemporal scales. This poster will cover multiscale model, a two-fold speedup strategy, i.e., combined algorithmic multiple time-stepping and hardware GPGPU acceleration, and performance analysis.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Na Zhang - Stony Brook University

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