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DTSTAMP:20260422T000604Z
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DTSTART;TZID=America/Denver:20231115T100000
DTEND;TZID=America/Denver:20231115T170000
UID:submissions.supercomputing.org_SC23_sess303_rpost164@linklings.com
SUMMARY:Unstructured Finite Element Models of Cardiac Electrophysiology Us
 ing a Deal.II-Based Library
DESCRIPTION:Laryssa Abdala (University of North Carolina), Simone Rossi (A
 lign Technology), and David Wells and Boyce Griffith (University of North 
 Carolina)\n\nCardiovascular electrophysiology simulations often involve co
 mputationally expensive tasks due to the inherent multiphysics complexity 
 of the problems. Additionally, the use of complex patient-specific geometr
 ies and biophysically-detailed ionic models adds to the system's complexit
 y. To numerically solve such problems within reasonable timeframes, high-p
 erformance computing plays a crucial role. In this poster, we present a hi
 gh-performance electrophysiology library specifically designed to address 
 these demanding simulations. The library's routines support the use of lin
 ear, and quadratic tetrahedral elements. Moreover, our library offers a tw
 o-way coupling capability that enables interactions among multi-dimensiona
 l meshes. This important feature facilitates the simulation of electrical 
 interactions between insulated regions of the heart, such as the atria and
  the ventricles. By enabling such coupling, the library aims to contribute
  to a more comprehensive understanding of the heart's electrophysiology an
 d its intricate electrical behavior.\n\nTag: Artificial Intelligence/Machi
 ne Learning, Architecture and Networks, Heterogeneous Computing, I/O and F
 ile Systems, Performance Measurement, Modeling, and Tools, Post-Moore Comp
 uting, Programming Frameworks and System Software, Quantum Computing\n\nRe
 gistration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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