DocumentCode
3427872
Title
Toward real-time modeling of human heart ventricles at cellular resolution: Simulation of drug-induced arrhythmias
Author
Mirin, A.A. ; Richards, David F. ; Glosli, James N. ; Draeger, Erik W. ; Chan, Britney ; Fattebert, J. ; Krauss, W.D. ; Oppelstrup, T. ; Rice, J.J. ; Gunnels, J.A. ; Gurev, V. ; Changhoan Kim ; Magerlein, J. ; Reumann, M. ; Hui-Fang Wen
Author_Institution
Lawrence Livermore Nat. Lab., Livermore, CA, USA
fYear
2012
fDate
10-16 Nov. 2012
Firstpage
1
Lastpage
11
Abstract
We have developed a highly efficient and scalable cardiac electrophysiology simulation capability that supports groundbreaking resolution and detail to elucidate the mechanisms of sudden cardiac death from arrhythmia. We can simulate thousands of heartbeats at a resolution of 0.1 mm, comparable to the size of cardiac cells, thereby enabling scientific inquiry not previously possible. Based on scaling results from the partially deployed Sequoia IBM Blue Gene/Q machine at Lawrence Livermore National Laboratory and planned optimizations, we estimate that by SC12 we will simulate 8 -- 10 heartbeats per minute -- a time-to-solution 400 -- 500 times faster than the state-of-the-art. Performance between 8 and 11 PFlop/s on the full 1,572,864 cores is anticipated, representing 40 -- 55 percent of peak. The power of the model is demonstrated by illuminating the subtle arrhythmogenic mechanisms of anti-arrhythmic drugs that paradoxically increase arrhythmias in some patient populations.
Keywords
bioelectric phenomena; cardiology; cellular biophysics; drugs; medical image processing; real-time systems; Lawrence Livermore National Laboratory; Q machine; SC12; antiarrhythmic drugs; cardiac cell size; cardiac electrophysiology simulation capability; cellular resolution; drug-induced arrhythmias; groundbreaking resolution; heartbeats; human heart ventricles; partially deployed Sequoia IBM Blue gene; patient populations; planned optimizations; real-time modeling; scientific inquiry; subtle arrhythmogenic mechanisms; sudden cardiac death; Biological system modeling; Equations; Heart; Instruction sets; Logic gates; Mathematical model; Message systems;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing, Networking, Storage and Analysis (SC), 2012 International Conference for
Conference_Location
Salt Lake City, UT
ISSN
2167-4329
Print_ISBN
978-1-4673-0805-2
Type
conf
DOI
10.1109/SC.2012.108
Filename
6468440
Link To Document