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Verification of cardiac tissue electrophysiology simulators using an N -version benchmark
Author(s) -
Steven Niederer,
Eric Kerfoot,
Alan P. Benson,
Miguel O. Bernabéu,
Olivier Bernus,
Chris P. Bradley,
Elizabeth M. Cherry,
Richard H. Clayton,
Flavio H. Fenton,
Alan Garny,
Elvio Heidenreich,
Sander Land,
Mary M. Maleckar,
Pras Pathmanathan,
Gernot Plank,
José F. Rodrı́guez,
Ishani Roy,
Frank B. Sachse,
Gunnar Seemann,
Ola Skavhaug,
Nic Smith
Publication year - 2011
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2011.0139
Subject(s) - benchmark (surveying) , computer science , cardiac electrophysiology , representation (politics) , code (set theory) , source code , computer engineering , computational science , electrophysiology , neuroscience , biology , programming language , geography , operating system , geodesy , set (abstract data type) , politics , political science , law
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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