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Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm

Publication ,  Conference
Herschlag, G; Gounley, J; Roychowdhury, S; Draeger, EW; Randles, A
Published in: Proceedings - IEEE International Conference on Cluster Computing, ICCC
September 1, 2019

In arterial systems, cancer cell trajectories determine metastatic cancer locations; similarly, particle trajectories determine drug delivery distribution. Predicting trajectories is challenging, as the dynamics are affected by local interactions with red blood cells, complex hemodynamic flow structure, and downstream factors such as stenoses or blockages. Direct simulation is not possible, as a single simulation of a large arterial domain with explicit red blood cells is currently intractable on even the largest supercomputers. To overcome this limitation, we present a multi-physics adaptive window algorithm, in which individual red blood cells are explicitly modeled in a small region of interest moving through a coupled arterial fluid domain. We describe the coupling between the window and fluid domains, including automatic insertion and deletion of explicit cells and dynamic tracking of cells of interest by the window. We show that this algorithm scales efficiently on heterogeneous architectures and enables us to perform large, highly-resolved particle-tracking simulations that would otherwise be intractable.

Duke Scholars

Published In

Proceedings - IEEE International Conference on Cluster Computing, ICCC

DOI

ISSN

1552-5244

Publication Date

September 1, 2019

Volume

2019-September
 

Citation

APA
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ICMJE
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Herschlag, G., Gounley, J., Roychowdhury, S., Draeger, E. W., & Randles, A. (2019). Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm. In Proceedings - IEEE International Conference on Cluster Computing, ICCC (Vol. 2019-September). https://doi.org/10.1109/CLUSTER.2019.8891041
Herschlag, G., J. Gounley, S. Roychowdhury, E. W. Draeger, and A. Randles. “Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm.” In Proceedings - IEEE International Conference on Cluster Computing, ICCC, Vol. 2019-September, 2019. https://doi.org/10.1109/CLUSTER.2019.8891041.
Herschlag G, Gounley J, Roychowdhury S, Draeger EW, Randles A. Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm. In: Proceedings - IEEE International Conference on Cluster Computing, ICCC. 2019.
Herschlag, G., et al. “Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm.” Proceedings - IEEE International Conference on Cluster Computing, ICCC, vol. 2019-September, 2019. Scopus, doi:10.1109/CLUSTER.2019.8891041.
Herschlag G, Gounley J, Roychowdhury S, Draeger EW, Randles A. Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm. Proceedings - IEEE International Conference on Cluster Computing, ICCC. 2019.

Published In

Proceedings - IEEE International Conference on Cluster Computing, ICCC

DOI

ISSN

1552-5244

Publication Date

September 1, 2019

Volume

2019-September