Literature DB >> 19655187

Acceleration of cardiac tissue simulation with graphic processing units.

Daisuke Sato1, Yuanfang Xie, James N Weiss, Zhilin Qu, Alan Garfinkel, Allen R Sanderson.   

Abstract

In this technical note we show the promise of using graphic processing units (GPUs) to accelerate simulations of electrical wave propagation in cardiac tissue, one of the more demanding computational problems in cardiology. We have found that the computational speed of two-dimensional (2D) tissue simulations with a single commercially available GPU is about 30 times faster than with a single 2.0 GHz Advanced Micro Devices (AMD) Opteron processor. We have also simulated wave conduction in the three-dimensional (3D) anatomic heart with GPUs where we found the computational speed with a single GPU is 1.6 times slower than with a 32-central processing unit (CPU) Opteron cluster. However, a cluster with two or four GPUs is faster than the CPU-based cluster. These results demonstrate that a commodity personal computer is able to perform a whole heart simulation of electrical wave conduction within times that enable the investigators to interact more easily with their simulations.

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Mesh:

Year:  2009        PMID: 19655187      PMCID: PMC2734265          DOI: 10.1007/s11517-009-0514-4

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  7 in total

1.  An advanced algorithm for solving partial differential equation in cardiac conduction.

Authors:  Z Qu; A Garfinkel
Journal:  IEEE Trans Biomed Eng       Date:  1999-09       Impact factor: 4.538

2.  A model of the ventricular cardiac action potential. Depolarization, repolarization, and their interaction.

Authors:  C H Luo; Y Rudy
Journal:  Circ Res       Date:  1991-06       Impact factor: 17.367

3.  A rabbit ventricular action potential model replicating cardiac dynamics at rapid heart rates.

Authors:  Aman Mahajan; Yohannes Shiferaw; Daisuke Sato; Ali Baher; Riccardo Olcese; Lai-Hua Xie; Ming-Jim Yang; Peng-Sheng Chen; Juan G Restrepo; Alain Karma; Alan Garfinkel; Zhilin Qu; James N Weiss
Journal:  Biophys J       Date:  2008-01-15       Impact factor: 4.033

4.  Calsequestrin-mediated mechanism for cellular calcium transient alternans.

Authors:  Juan G Restrepo; James N Weiss; Alain Karma
Journal:  Biophys J       Date:  2008-08-01       Impact factor: 4.033

5.  Local control models of cardiac excitation-contraction coupling. A possible role for allosteric interactions between ryanodine receptors.

Authors:  M D Stern; L S Song; H Cheng; J S Sham; H T Yang; K R Boheler; E Ríos
Journal:  J Gen Physiol       Date:  1999-03       Impact factor: 4.086

6.  Preventing ventricular fibrillation by flattening cardiac restitution.

Authors:  A Garfinkel; Y H Kim; O Voroshilovsky; Z Qu; J R Kil; M H Lee; H S Karagueuzian; J N Weiss; P S Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

7.  A simulation study of the effects of cardiac anatomy in ventricular fibrillation.

Authors:  Fagen Xie; Zhilin Qu; Junzhong Yang; Ali Baher; James N Weiss; Alan Garfinkel
Journal:  J Clin Invest       Date:  2004-03       Impact factor: 14.808

  7 in total
  10 in total

1.  GPU-based real-time detection and analysis of biological targets using solid-state nanopores.

Authors:  Abdul Hafeez; Waseem Asghar; M Mustafa Rafique; Samir M Iqbal; Ali R Butt
Journal:  Med Biol Eng Comput       Date:  2012-03-25       Impact factor: 2.602

2.  Nonlinear and Stochastic Dynamics in the Heart.

Authors:  Zhilin Qu; Gang Hu; Alan Garfinkel; James N Weiss
Journal:  Phys Rep       Date:  2014-10-10       Impact factor: 25.600

3.  How does β-adrenergic signalling affect the transitions from ventricular tachycardia to ventricular fibrillation?

Authors:  Yuanfang Xie; Eleonora Grandi; Donald M Bers; Daisuke Sato
Journal:  Europace       Date:  2014-03       Impact factor: 5.214

Review 4.  Cardiac models in drug discovery and development: a review.

Authors:  Robert K Amanfu; Jeffrey J Saucerman
Journal:  Crit Rev Biomed Eng       Date:  2011

5.  Accelerating cardiac bidomain simulations using graphics processing units.

Authors:  A Neic; M Liebmann; E Hoetzl; L Mitchell; E J Vigmond; G Haase; G Plank
Journal:  IEEE Trans Biomed Eng       Date:  2012-06-05       Impact factor: 4.538

6.  Synchronization of early afterdepolarizations and arrhythmogenesis in heterogeneous cardiac tissue models.

Authors:  Enno de Lange; Yuanfang Xie; Zhilin Qu
Journal:  Biophys J       Date:  2012-07-17       Impact factor: 4.033

7.  Toward GPGPU accelerated human electromechanical cardiac simulations.

Authors:  Guillermo Vigueras; Ishani Roy; Andrew Cookson; Jack Lee; Nicolas Smith; David Nordsletten
Journal:  Int J Numer Method Biomed Eng       Date:  2013-09-20       Impact factor: 2.747

8.  The Contribution of Ionic Currents to Rate-Dependent Action Potential Duration and Pattern of Reentry in a Mathematical Model of Human Atrial Fibrillation.

Authors:  Young-Seon Lee; Minki Hwang; Jun-Seop Song; Changyong Li; Boyoung Joung; Eric A Sobie; Hui-Nam Pak
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

9.  Computational modeling and numerical methods for spatiotemporal calcium cycling in ventricular myocytes.

Authors:  Michael Nivala; Enno de Lange; Robert Rovetti; Zhilin Qu
Journal:  Front Physiol       Date:  2012-05-08       Impact factor: 4.566

Review 10.  Cardiac electrophysiological dynamics from the cellular level to the organ level.

Authors:  Daisuke Sato; Colleen E Clancy
Journal:  Biomed Eng Comput Biol       Date:  2013-08-26
  10 in total

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