A new computational approach enables high-performance, real-time interactive simulation of large-scale cardiac dynamics on personal computers and cell phones, bypassing the need for supercomputers.
This novel computational approach democratizes large-scale cardiac electrophysiology modeling by enabling real-time simulations on personal devices rather than requiring supercomputers.
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.
Kaboudian et al. (Fri,) conducted a other in Cardiac arrhythmias. High-performance simulation approach for personal computers and cell phones vs. Supercomputers or clusters was evaluated. A new computational approach enables high-performance, real-time interactive simulation of large-scale cardiac dynamics on personal computers and cell phones, bypassing the need for supercomputers.