Near-real-time simulations of biolelectric activity in small mammalian hearts using graphical processing units
| Autor: | Edward J. Vigmond, Gernot Plank, Patrick M. Boyle, L. Joshua Leon |
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| Rok vydání: | 2009 |
| Předmět: |
Diagnostic Imaging
Time Factors Computer science Graphics processing unit Context (language use) Parallel computing Article Computer graphics Computer Systems Heart Conduction System Computer graphics (images) Computer Graphics Image Processing Computer-Assisted Animals Computer Simulation Graphics Computers Arrhythmias Cardiac Heart Signal Processing Computer-Assisted Electrophysiology Parallel processing (DSP implementation) Scalability Programming Languages Central processing unit Algorithms |
| Zdroj: | Scopus-Elsevier |
| DOI: | 10.1109/iembs.2009.5333738 |
| Popis: | Simulations of cardiac bioelectric phenomena remain a significant challenge despite continual advancements in computational machinery. Spanning large temporal and spatial ranges demands millions of nodes to accurately depict geometry, and a comparable number of timesteps to capture dynamics. This study explores a new hardware computing paradigm, the graphics processing unit (GPU), to accelerate cardiac models, and analyzes results in the context of simulating a small mammalian heart in real time. The ODEs associated with membrane ionic flow were computed on traditional CPU and compared to GPU performance, for one to four parallel processing units. The scalability of solving the PDE responsible for tissue coupling was examined on a cluster using up to 128 cores. Results indicate that the GPU implementation was between 9 and 17 times faster than the CPU implementation and scaled similarly. Solving the PDE was still 160 times slower than real time. |
| Databáze: | OpenAIRE |
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