Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms
Joint Authors
Gouvêa de Barros, Bruno
Meira, Wagner
Weber dos Santos, Rodrigo
Lobosco, Marcelo
Sachetto Oliveira, Rafael
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Key aspects of cardiac electrophysiology, such as slow conduction, conduction block, and saltatory effects have been the research topic of many studies since they are strongly related to cardiac arrhythmia, reentry, fibrillation, or defibrillation.
However, to reproduce these phenomena the numerical models need to use subcellular discretization for the solution of the PDEs and nonuniform, heterogeneous tissue electric conductivity.
Due to the high computational costs of simulations that reproduce the fine microstructure of cardiac tissue, previous studies have considered tissue experiments of small or moderate sizes and used simple cardiac cell models.
In this paper, we develop a cardiac electrophysiology model that captures the microstructure of cardiac tissue by using a very fine spatial discretization (8 μm) and uses a very modern and complex cell model based on Markov chains for the characterization of ion channel’s structure and dynamics.
To cope with the computational challenges, the model was parallelized using a hybrid approach: cluster computing and GPGPUs (general-purpose computing on graphics processing units).
Our parallel implementation of this model using a multi-GPU platform was able to reduce the execution times of the simulations from more than 6 days (on a single processor) to 21 minutes (on a small 8-node cluster equipped with 16 GPUs, i.e., 2 GPUs per node).
American Psychological Association (APA)
Gouvêa de Barros, Bruno& Sachetto Oliveira, Rafael& Meira, Wagner& Lobosco, Marcelo& Weber dos Santos, Rodrigo. 2012. Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-501062
Modern Language Association (MLA)
Gouvêa de Barros, Bruno…[et al.]. Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-501062
American Medical Association (AMA)
Gouvêa de Barros, Bruno& Sachetto Oliveira, Rafael& Meira, Wagner& Lobosco, Marcelo& Weber dos Santos, Rodrigo. Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-501062
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501062