High Performance Cardiac Tissue Electrical Activity Simulation on a Parallel Environment

J M Alonso, J M Ferrero (Jr.), V Hernández, G Moltó, M Monserrat, and J Saiz. High Performance Cardiac Tissue Electrical Activity Simulation on a Parallel Environment. In Proceedings of the First European HealthGrid Conference, pp. 84–91, 2003.

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Abstract

The simulation of action potential propagation on cardiac tissuesis a very intensive process, both in terms of memory and computationalload. Complex ionic models such as the Luo-Rudy Phase 2, along withthe ever-increasing need to simulate larger tissues during longertime, require the use of high performance parallelization strategies.This paper presents a complete parallel computing system for thesimulation of action potential propagation in a two-dimensional monodomaincardiac tissue using a cost-effective cluster of PCs. High performancecomputing techniques have reduced the simulation time by a factorof nearly the number of processors, reaching a 93% of efficiencywith ten processors. In addition, stable numerical ODE integrationmethods allow the use of a larger timestep, reducing the overallsimulation time up to a factor of 8.

BibTeX Entry

@inproceedings{Molto2003hpc,
   abstract = {The simulation of action potential propagation on cardiac tissues
is a very intensive process, both in terms of memory and computational
load. Complex ionic models such as the Luo-Rudy Phase 2, along with
the ever-increasing need to simulate larger tissues during longer
time, require the use of high performance parallelization strategies.
This paper presents a complete parallel computing system for the
simulation of action potential propagation in a two-dimensional monodomain
cardiac tissue using a cost-effective cluster of PCs. High performance
computing techniques have reduced the simulation time by a factor
of nearly the number of processors, reaching a 93% of efficiency
with ten processors. In addition, stable numerical ODE integration
methods allow the use of a larger timestep, reducing the overall
simulation time up to a factor of 8.},
   author = {J M Alonso and J M Ferrero (Jr.) and V Hernández and G Moltó and M Monserrat and J Saiz},
   booktitle = {Proceedings of the First European HealthGrid Conference},
   pages = {84-91},
   title = {High Performance Cardiac Tissue Electrical Activity Simulation on a Parallel Environment},
   year = {2003}
}

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