Massively Parallel Models of the Human Circulatory System

Conference Paper

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.

Full Text

Duke Authors

Cited Authors

  • Randles, A; Draeger, EW; Oppelstrup, T; Krauss, L; Gunnels, J

Published Date

  • November 16, 2015

Published In

  • Http://Dl.Acm.Org/Citation.Cfm?Id=2807676

Published By

International Standard Book Number 13 (ISBN-13)

  • 978-1-4503-3723-6

Digital Object Identifier (DOI)

  • 10.1145/2807591.2807676

Conference Name

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

Conference Location

  • Austin, TX

Conference Start Date

  • November 15, 2015

Conference End Date

  • November 20, 2015