Parallel simulation of the synchronization of heterogeneous cells in the sinoatrial node. (2nd May 2019)

• Record Type: Journal Article
• Authors: Nicolás Mata, Aurelio; Román Alonso, Graciela; López Garza, Gabriel; Godinez Fernández, José Rafael; Castro García, Miguel Alfonso; Castellanos Ábrego, Norma Pilar
• Other Names: Merelli Ivan guestEditor.; Liò Pietro guestEditor.; Kotenko Igor guestEditor.; D'Agostino Daniele guestEditor.
• Is Part Of: Concurrency and computation. Volume 32:Number 10(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-05-02
• Subjects: CUDA programming -- HPC application -- MPI -- OpenMP -- sinoatrial node synchronization; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.5317
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: The cells of the sinoatrial node (SAN) are self‐excitable entities that show a coupled electrical pattern that consists of the synchronized activation of action potentials that determine the heart rate. To accurately describe the behavior of cell membrane proteins, theoretical biophysicists have devoted themselves to the study of the electrical activity of individual cells, which involves solving a large number of coupled differential equations. This computational limitation makes the modeling of a large number of cells unattainable, since the intracellular distribution of Ca 2+ must be considered and this fact increases in grand extent the number of differential equations involved. In this work, we explore different parallel architectures (using OpenMP, MPI, and CUDA libraries) to show advances in the computational modeling and simulation of the SAN using a multicellular array in which the cells are endowed of heterogeneous conductances and are electrically coupled, considering a variable connectivity among them.