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DENIS: Solving cardiac electrophysiological simulations with volunteer computing.

Violeta Monasterio¹, Joel Castro-Mur¹, Jesús Carro¹

¹Universidad San Jorge, Villanueva de Gállego, Zaragoza, Spain.

|October 17, 2018

Summary

Cardiac electrophysiological simulations are computationally intensive. DENIS, a volunteer computing simulator, drastically reduces simulation times from years to days, making large cardiac projects feasible without supercomputers.

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Area of Science:

Computational biology
Biophysics
Cardiovascular research

Background:

Cardiac electrophysiological simulations are computationally demanding.
Increasing model complexity and population studies exceed standard computing capabilities.

Purpose of the Study:

To develop and evaluate DENIS, a cardiac electrophysiology simulator utilizing volunteer computing.
To assess DENIS's performance concerning simulation length, task deadlines, and batch size.

Main Methods:

Implementation of DENIS based on the volunteer computing paradigm.
Performance evaluation through experiments varying simulation parameters.
Comparison of simulation time against stand-alone computers for a population model generation case.

Main Results:

Simulation completion time showed minimal dependence on simulation length and batch size.
DENIS significantly reduced simulation time for a population model from years to days.
Volunteer computing approach proved effective for large-scale cardiac simulations.

Conclusions:

DENIS enables large-scale cardiac electrophysiological studies without requiring high-performance computing infrastructure.
Volunteer computing is a viable and efficient alternative for computationally intensive biomedical simulations.
Facilitates advanced research in cardiac modeling and personalized medicine.