• 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