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Acceleration of cardiac tissue simulation with graphic processing units.

Daisuke Sato1, Yuanfang Xie, James N Weiss

  • 1Cardiovascular Research Laboratory, Department of Medicine (Cardiology), David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. dasato@mednet.ucla.edu

Medical & Biological Engineering & Computing
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Graphic Processing Units (GPUs) significantly accelerate cardiac electrical wave propagation simulations. A single GPU is 30x faster for 2D models, and multi-GPU setups outperform CPU clusters for 3D whole-heart simulations.

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Area of Science:

  • Computational Cardiology
  • Biophysics
  • High-Performance Computing

Background:

  • Simulating electrical wave propagation in cardiac tissue is computationally intensive.
  • Accurate cardiac electrophysiology models are crucial for understanding heart function and disease.
  • Traditional simulations often require substantial computational resources, limiting interactive analysis.

Purpose of the Study:

  • To evaluate the effectiveness of Graphic Processing Units (GPUs) in accelerating cardiac electrical wave propagation simulations.
  • To compare GPU-accelerated simulation speeds against traditional Central Processing Unit (CPU) based approaches.
  • To assess the feasibility of performing whole-heart simulations on commodity hardware.

Main Methods:

  • Development and implementation of simulation models for 2D cardiac tissue and 3D anatomic heart.
  • Utilizing commercially available single GPUs and multi-GPU clusters for computational acceleration.
  • Comparison of simulation runtimes against a single 2.0 GHz AMD Opteron processor and a 32-CPU Opteron cluster.

Main Results:

  • A single GPU achieved a 30-fold speedup for 2D cardiac tissue simulations compared to a single CPU.
  • A single GPU was 1.6 times slower than a 32-CPU cluster for 3D whole-heart simulations.
  • Clusters with two or four GPUs demonstrated superior performance over the 32-CPU cluster for 3D simulations.

Conclusions:

  • GPUs offer significant potential for accelerating complex cardiac electrophysiology simulations.
  • Multi-GPU systems can outperform large CPU clusters, enabling faster whole-heart modeling.
  • Commodity personal computers equipped with GPUs can facilitate interactive whole-heart simulations.