Real-Time Hybrid Simulation Studies of Complex Large-Scale Systems Using Multi-Grid Processing

Author(s):  
Yunbyeong Chae ◽  
Stephanie Tong ◽  
Thomas M. Marullo ◽  
James M. Ricles

2001 ◽  
Author(s):  
Thiagalingam Kirubarajan ◽  
Venkatesh N. Malepati ◽  
Somnath Deb ◽  
Jie Ying


2008 ◽  
Vol 134 (4) ◽  
pp. 522-534 ◽  
Author(s):  
Richard Christenson ◽  
Yi Zhong Lin ◽  
Andrew Emmons ◽  
Brent Bass


2014 ◽  
Vol 43 (13) ◽  
pp. 1915-1933 ◽  
Author(s):  
Yunbyeong Chae ◽  
James M. Ricles ◽  
Richard Sause




2019 ◽  
Vol 5 (3) ◽  
pp. eaav6019 ◽  
Author(s):  
Abouzar Kaboudian ◽  
Elizabeth M. Cherry ◽  
Flavio H. Fenton

Cardiac dynamics modeling has been useful for studying and treating arrhythmias. However, it is a multiscale problem requiring the solution of billions of differential equations describing the complex electrophysiology of interconnected cells. Therefore, large-scale cardiac modeling has been limited to groups with access to supercomputers and clusters. Many areas of computational science face similar problems where computational costs are too high for personal computers so that supercomputers or clusters currently are necessary. Here, we introduce a new approach that makes high-performance simulation of cardiac dynamics and other large-scale systems like fluid flow and crystal growth accessible to virtually anyone with a modest computer. For cardiac dynamics, this approach will allow not only scientists and students but also physicians to use physiologically accurate modeling and simulation tools that are interactive in real time, thereby making diagnostics, research, and education available to a broader audience and pushing the boundaries of cardiac science.



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