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Massively Parallel Models of the Human Circulatory System

Publication ,  Conference
Randles, A; Draeger, EW; Oppelstrup, T; Krauss, L; Gunnels, J
Published in: http://dl.acm.org/citation.cfm?id=2807676
November 16, 2015

The potential impact of blood flow simulations on the diagnosis and treatment of patients suffering from vascular disease is tremendous. Empowering models of the full arterial tree can provide insight into diseases such as arterial hypertension and enables the study of the influence of local factors on global hemodynamics. We present a new, highly scalable implementation of the lattice Boltzmann method which addresses key challenges such as multiscale coupling, limited memory capacity and bandwidth, and robust load balancing in complex geometries. We demonstrate the strong scaling of a three-dimensional, high-resolution simulation of hemodynamics in the systemic arterial tree on 1,572,864 cores of Blue Gene/Q. Faster calculation of flow in full arterial networks enables unprecedented risk stratification on a perpatient basis. In pursuit of this goal, we have introduced computational advances that significantly reduce time-to-solution for biofluidic simulations.

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Published In

http://dl.acm.org/citation.cfm?id=2807676

DOI

ISBN

978-1-4503-3723-6

Publication Date

November 16, 2015

Location

Austin, TX

Publisher

ACM

Conference Name

ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis
 

Citation

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Randles, A., Draeger, E. W., Oppelstrup, T., Krauss, L., & Gunnels, J. (2015). Massively Parallel Models of the Human Circulatory System. In http://dl.acm.org/citation.cfm?id=2807676. Austin, TX: ACM. https://doi.org/10.1145/2807591.2807676
Randles, A., E. W. Draeger, T. Oppelstrup, L. Krauss, and J. Gunnels. “Massively Parallel Models of the Human Circulatory System.” In Http://Dl.Acm.Org/Citation.Cfm?Id=2807676. ACM, 2015. https://doi.org/10.1145/2807591.2807676.
Randles A, Draeger EW, Oppelstrup T, Krauss L, Gunnels J. Massively Parallel Models of the Human Circulatory System. In: http://dl.acm.org/citation.cfm?id=2807676. ACM; 2015.
Randles, A., et al. “Massively Parallel Models of the Human Circulatory System.” Http://Dl.Acm.Org/Citation.Cfm?Id=2807676, ACM, 2015. Manual, doi:10.1145/2807591.2807676.
Randles A, Draeger EW, Oppelstrup T, Krauss L, Gunnels J. Massively Parallel Models of the Human Circulatory System. http://dl.acm.org/citation.cfm?id=2807676. ACM; 2015.

Published In

http://dl.acm.org/citation.cfm?id=2807676

DOI

ISBN

978-1-4503-3723-6

Publication Date

November 16, 2015

Location

Austin, TX

Publisher

ACM

Conference Name

ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis