Acceleration of cardiac tissue simulation with graphic processing units |
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| Authors: | Daisuke Sato Yuanfang Xie James N Weiss Zhilin Qu Alan Garfinkel and Allen R Sanderson |
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| Institution: | (1) Cardiovascular Research Laboratory, Departments of Medicine (Cardiology), David Geffen School of Medicine at UCLA, Los Angeles, CA, USA;(2) Cardiovascular Research Laboratory, Departments of Medicine (Cardiology), Physiological Science, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA;(3) Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA |
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| 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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