International Conference «Mathematical and Information Technologies, MIT-2016»

## Sozykin A. Epanchintsev T. Zverev V. Bersenev A.## Using the FEniCS Framework for Heart Simulation on Parallel Computing Systems## Reporter: Sozykin A.
The purpose of this paper is to evaluate how the automated scientific computing frameworks could be used for heart simulation on parallel computing systems. Heart simulation is a complex task that requires multiscale modelling on the cell, tissue, and organ levels [1]. Such problems are computationally intensive and need parallel computing, including the use of modern computational accelerators such as GPU and Xeon Phi. However, porting complicated multilevel simulation code to a new architecture requires a long time (often 3–5 years) during which the architecture may become obsolete. In addition, adaptation for parallel computing architectures often leads to significant changes of code. Consequently, it is very hard to determine which mathematical models and numerical methods are used in the optimized code. Hence, reflecting the changes in a mathematical model in the optimized code can be very complicated. As a result, complex multiscale simulation software is rarely adapted to modern parallel computing architectures. To reports list |