Authors | J. Langguth, H. Arevalo, C. Jarvis and X. Cai |
Title | Towards Detailed Organ-Scale Simulations in Cardiac Electrophysiology |
Afilliation | Scientific Computing |
Project(s) | Meeting Exascale Computing with Source-to-Source Compilers |
Status | Published |
Publication Type | Poster |
Year of Publication | 2018 |
Date Published | 09/2018 |
Place Published | International Symposium on Computational Science at Scale (CoSaS), Erlangen, Germany |
Type of Work | Poster |
Keywords | Cardiac electrophysiology, GPU, Scientific Computing, Xeon Phi |
Abstract | We present implementations of tissue-scale 3D simulations of the human cardiac ventricle using a physiologically realistic cell model. Computational challenges in such simulations arise from two factors, the first of which is the sheer amount of computation when simulating a large number of cardiac cells in a detailed model containing 10^4 calcium release units, 10^6 stochastically changing ryanodine receptors and 1.5 × 10^5 L-type calcium channels per cell.
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Citation Key | 26131 |