Simulation of clinical electrophysiology in 3D human atria: a high-performance computing and high-performance visualization application

摘要

Computational demands are such that a full problem-solving environment requires access to resources of high-performance computing (HPC), high-performance visualization (HPV), remote data repositories and backend infrastructure. This is a classic example of (Science and Grid-enabled computing. This study was carried out using multiple processor shared memory systems and massively parallel distributed memory systems. With the envisaged increase in anatomical and molecular detail in our cardiac models the requirement for HPC resources is predicted to increase many fold (～ 1-10 teraflops). Distributed computing is essential, both through massively parallel systems (a single supercomputer) and multiple parallel systems made accessible through the Grid. Analysis and interpretation of results are enhanced by HPV, which in itself is a large data computing aspect of cardiac modelling.