Key result
An inner-outer subcycling algorithm for parallel cardiac electrophysiology simulations was accurate and demonstrated close to linear parallel scalability on a computer with over 1000 processor cores.
Why the study?
The study aimed to improve the efficiency of parallel cardiac monodomain simulations and reduce turnaround time for simulating cardiac electrical function on idealized and patient-specific geometry.
A novel subcycling algorithm improves the efficiency and scalability of parallel cardiac electrophysiology simulations, potentially reducing turnaround time for clinical applications.
Answers are grounded in this paper and cite their sources.
May shorten cardiac monodomain simulation times; leaves open validation for clinical arrhythmia modeling.
This paper explores cardiac electrophysiological simulations of the monodomain equations and introduces a novel subcycling time integration algorithm to exploit the structure of the ionic model. The aim of this work is to improve upon the efficiency of parallel cardiac monodomain simulations by using our subcycling algorithm in the computation of the ionic model to handle the local sharp changes of the solution. This will reduce the turnaround time for the simulation of basic cardiac electrical function on both idealized and patient-specific geometry. Numerical experiments show that the proposed approach is accurate and also has close to linear parallel scalability on a computer with more than 1000 processor cores. Ultimately, the reduction in simulation time can be beneficial in clinical applications, where multiple simulations are often required to tune a model to match clinical measurements.
No takes yet. Share an insight, caveat, or question.
Laudenschlager et al. (2022) studied Cardiac electrophysiology simulations. Inner-outer subcycling algorithm was evaluated on Computational efficiency and accuracy of parallel cardiac monodomain simulations. An inner-outer subcycling algorithm for parallel cardiac electrophysiology simulations was accurate and demonstrated close to linear parallel scalability on a computer with over 1000 processor cores.
Synapse has enriched 10 related papers. Consider them for comparative context: