Verification of cardiac tissue electrophysiology simulators using an <i>N</i> -version benchmark

Steven Niederer(King's College London), Eric Kerfoot(King's College London), Alan P. Benson(University of Leeds), Miguel O. Bernabéu(University of Oxford), Olivier Bernus(University of Leeds), Chris P. Bradley(Auckland Institute of Studies), Elizabeth M. Cherry(Rochester Institute of Technology), Richard H. Clayton(University of Sheffield), Flavio H. Fenton(Cornell University), Alan Garny(University of Oxford), Elvio Heidenreich(Universidad de Zaragoza), Sander Land(University of Oxford), Mary M. Maleckar(Simula Research Laboratory), Pras Pathmanathan(University of Oxford), Gernot Plank(Medical University of Graz), José F. Rodrı́guez(Universidad de Zaragoza), Ishani Roy(King's College London), Frank B. Sachse(University of Utah), Gunnar Seemann(Karlsruhe Institute of Technology), Ola Skavhaug(University of Oslo), Nic Smith(King's College London)
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
October 3, 2011
Cited by 273Open Access
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Abstract

Ongoing developments in cardiac modelling have resulted, in particular, in the development of advanced and increasingly complex computational frameworks for simulating cardiac tissue electrophysiology. The goal of these simulations is often to represent the detailed physiology and pathologies of the heart using codes that exploit the computational potential of high-performance computing architectures. These developments have rapidly progressed the simulation capacity of cardiac virtual physiological human style models; however, they have also made it increasingly challenging to verify that a given code provides a faithful representation of the purported governing equations and corresponding solution techniques. This study provides the first cardiac tissue electrophysiology simulation benchmark to allow these codes to be verified. The benchmark was successfully evaluated on 11 simulation platforms to generate a consensus gold-standard converged solution. The benchmark definition in combination with the gold-standard solution can now be used to verify new simulation codes and numerical methods in the future.


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