Hemocell: a high-performance microscopic cellular library

Open Access
Authors
Publication date 2017
Journal Procedia Computer Science
Event International Conference on Computational Science 2017
Volume | Issue number 108
Pages (from-to) 159-165
Number of pages 7
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
  • Faculty of Science (FNWI)
Abstract
We present a high-performance computational framework (Hemocell) with validated cell-material models, which provides the necessary tool to target challenging biophysical questions in relation to blood flows, e.g. the influence of transport characteristics on platelet bonding and aggregation. The dynamics of blood plasma are resolved by using the lattice Boltzmann method (LBM), while the cellular membranes are implemented using a discrete element method (DEM) coupled to the fluid as immersed boundary method (IBM) surfaces. In the current work a selected set of viable technical solutions are introduced and discussed, whose application translates to significant performance benefits. These solutions extend the applicability of our framework to up to two orders of magnitude larger, physiologically relevant settings.
Document type Article
Note International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland Edited by Petros Koumoutsakos, Michael Lees, Valeria Krzhizhanovskaya, Jack Dongarra, Peter Sloot
Language English
Published at https://doi.org/10.1016/j.procs.2017.05.084
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Hemocell (Final published version)
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