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Large speed increase using novel GPU based algorithms to simulate cardiac excitation waves in 3D rabbit ventricles

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Large speed increase using novel GPU based algorithms to simulate cardiac excitation waves in 3D rabbit ventricles. / Higham, J.; Aslanidi, O.; Zhang, H.
2011 Computing in Cardiology. IEEE, 2012.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Higham, J, Aslanidi, O & Zhang, H 2012, Large speed increase using novel GPU based algorithms to simulate cardiac excitation waves in 3D rabbit ventricles. in 2011 Computing in Cardiology. IEEE. <https://ieeexplore.ieee.org/document/6164489>

APA

Higham, J., Aslanidi, O., & Zhang, H. (2012). Large speed increase using novel GPU based algorithms to simulate cardiac excitation waves in 3D rabbit ventricles. In 2011 Computing in Cardiology IEEE. https://ieeexplore.ieee.org/document/6164489

Vancouver

Higham J, Aslanidi O, Zhang H. Large speed increase using novel GPU based algorithms to simulate cardiac excitation waves in 3D rabbit ventricles. In 2011 Computing in Cardiology. IEEE. 2012 Epub 2011 Sept 18.

Author

Higham, J. ; Aslanidi, O. ; Zhang, H. / Large speed increase using novel GPU based algorithms to simulate cardiac excitation waves in 3D rabbit ventricles. 2011 Computing in Cardiology. IEEE, 2012.

Bibtex

@inproceedings{cc2a42032e474519bae971c5e3862088,
title = "Large speed increase using novel GPU based algorithms to simulate cardiac excitation waves in 3D rabbit ventricles",
abstract = "Large-scale biophysically detailed computer models of the heart provide a useful tool to understand dynamics of cardiac excitation and mechanisms underlying lethal cardiac arrhythmias. However, high demanding of intensive high performance computing environments limits the practical application of such models. This paper presents a novel use of a desktop personal computer and the CUDA parallel computing architecture for a highly efficient method of parallel simulation of a 3D ventricular model. We show that substantial speed increases can be obtained using a desktop Graphical Processing Unit (GPU) compared to a single desktop Central Processing Unit (CPU), and that a single GPU can be an effective substitute to large numbers of CPUs.",
author = "J. Higham and O. Aslanidi and H. Zhang",
year = "2012",
month = mar,
day = "9",
language = "English",
booktitle = "2011 Computing in Cardiology",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Large speed increase using novel GPU based algorithms to simulate cardiac excitation waves in 3D rabbit ventricles

AU - Higham, J.

AU - Aslanidi, O.

AU - Zhang, H.

PY - 2012/3/9

Y1 - 2012/3/9

N2 - Large-scale biophysically detailed computer models of the heart provide a useful tool to understand dynamics of cardiac excitation and mechanisms underlying lethal cardiac arrhythmias. However, high demanding of intensive high performance computing environments limits the practical application of such models. This paper presents a novel use of a desktop personal computer and the CUDA parallel computing architecture for a highly efficient method of parallel simulation of a 3D ventricular model. We show that substantial speed increases can be obtained using a desktop Graphical Processing Unit (GPU) compared to a single desktop Central Processing Unit (CPU), and that a single GPU can be an effective substitute to large numbers of CPUs.

AB - Large-scale biophysically detailed computer models of the heart provide a useful tool to understand dynamics of cardiac excitation and mechanisms underlying lethal cardiac arrhythmias. However, high demanding of intensive high performance computing environments limits the practical application of such models. This paper presents a novel use of a desktop personal computer and the CUDA parallel computing architecture for a highly efficient method of parallel simulation of a 3D ventricular model. We show that substantial speed increases can be obtained using a desktop Graphical Processing Unit (GPU) compared to a single desktop Central Processing Unit (CPU), and that a single GPU can be an effective substitute to large numbers of CPUs.

M3 - Conference contribution/Paper

BT - 2011 Computing in Cardiology

PB - IEEE

ER -