@misc{17695,
  author = {Xing Cai and James Trotter},
  title = {Enabling Cell-Based Simulations of Cardiac Electrophysiology with High-Performance Computing},
  abstract = {Cell-based simulations represent a new modeling approach to studying cardiac electrophysiology. In this approach, the individual cardiac cells and their sub-cellular details are resolved, distinguishing between the intra-cellular and extra-cellular spaces, while also detailing the membrane space in between. A new challenge arises with the resulting extreme amounts of computation. We will use several techniques of high-performance computing in this context, with the purpose of enabling efficient cell-based simulations on supercomputers. Specifically, we will investigate a new problem of "3-space" mesh partitioning that has the overall objective of minimizing the resulting communication overhead, while ensuring a satisfactory level of load balancing between the processors when numerically solving all the three subproblems. The opportunities of overlapping computation with communication will also be investigated. Numerical experiments will be presented to analyze the impact of different schemes for solving the new mesh-partitioning problem, as well as the effect of communication-computation overlap.},
  year = {2024},
  journal = {SIAM Conference on Parallel Processing for Scientific Computing (PP24), Baltimore, Maryland, USA},
}