Acceleration of cardiac tissue simulation with graphic processing units.
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 si...
| Published in: | Medical & Biological Engineering & Computing Vol. 47; no. 9; pp. 1011 - 1016 |
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| Main Authors: | , , , , , , , , , , , |
| Format: | diagnostic images tables/charts Journal Article |
| Published: |
Springer Nature
Sep2009
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104907043&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104907043 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2009 vid: 47 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104907043 NLM19655187 2010382768 10.1007/s11517-009-0514-4 NLM19655187 PMC2734265 104907043 ppf: 1011 ppct: 5 formats: fmt: @attributes: type: P tig: atl: Acceleration of cardiac tissue simulation with graphic processing units. aug: au: Sato D Xie Y Weiss JN Qu Z Garfinkel A Sanderson AR Sato, Daisuke Xie, Yuanfang Weiss, James N Qu, Zhilin Garfinkel, Alan Sanderson, Allen R affil: Cardiovascular Research Laboratory, Department of Medicine (Cardiology), David Geffen School of Medicine at UCLA, Los Angeles, CA, USA sug: subj: Computer Simulation Heart Computers and Computerization ab: 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. pubtype: Academic Journal doctype: diagnostic images tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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