Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/36001
Title: An HPC-Based Approach to Study Living System Computational Model Parameter Dependency
Authors: Ushenin, K.
Byordov, D.
Issue Date: 2015
Publisher: Уральский федеральный университет
Citation: Ushenin K. An HPC-Based Approach to Study Living System Computational Model Parameter Dependency / K. Ushenin, D. Byordov // Proceedings of the 1st Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists (Ural-PDC 2015). — Yekaterinburg, 2015. — P. 67-74. — (CEUR Workshop Proceedings ; vol. 1513).
Abstract: High performance computing (HPC) allows one to run in parallel large amount of independent numerical experiments for computationally intensive simulations of a complex system. Results of such experiments can be used to derive dependencies between functional characteristics of simulated system and parameters of the computational model. In this paper, we implemented this HPC approach with using a computational model of the electrical activity in the left ventricle of human heart. To illustrate possibilities of the approach, we analyzed dependencies of electrophysiological characteristics of the left ventricle on the parameters of its geometry. Particularly, we identified a dependence of the dynamics of activated myocardium part during excitation on the model parameters of the myocardial fiber orientation in the ventricular wall.
Keywords: HIGH PERFORMANCE COMPUTING
PARALLEL COMPUTING
HEART SIMULATION
URI: http://hdl.handle.net/10995/36001
Conference name: 1st Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists (Ural-PDC 2015)
Conference date: 17.11.2015
ISSN: 1613-0073
Origin: CEUR Workshop Proceedings. Vol. 1513 : Proceedings of the 1st Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists (Ural-PDC 2015). — Yekaterinburg, 2015
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