Title
A GPU-based heart simulator with mass-spring systems and cellular automaton
Abstract
This work proposes an electro-mechanical simulator of the cardiac tissue, so that its main feature is the low computational cost. This is necessary to run real-time simulations and on the fly applications. In order to achieve this, we used cellular automata and mass-spring systems to model the cardiac behavior, and furthermore parallelize the code to run in graphics processing unit (GPU) with compute unified device architecture. Sequentially, our simulator was quite faster than traditional partial differential equations simulators. In addition, we performed different load tests to evaluate our code behavior in GPUs, and spotted its potentials and bottlenecks.
Year
DOI
Venue
2014
10.1007/s11227-014-1199-5
The Journal of Supercomputing
Keywords
Field
DocType
Heart simulation,Cellular automata,Mass-spring systems,CUDA,GPU
Cellular automaton,Computer science,Simulation,CUDA,Parallel computing,On the fly,Computational science,Spring system,Graphics processing unit,Partial differential equation
Journal
Volume
Issue
ISSN
69
1
0920-8542
Citations 
PageRank 
References 
3
0.79
2
Authors
3
Name
Order
Citations
PageRank
Ricardo Silva Campos1195.70
Marcelo Lobosco29524.89
weber dos santos r319944.90