Journal article
Performance of hybrid programming models for multiscale cardiac simulations: Preparing for petascale computation
BJ Pope, BG Fitch, MC Pitman, JJ Rice, M Reumann
IEEE Transactions on Biomedical Engineering | Published : 2011
Abstract
Future multiscale and multiphysics models that support research into human disease, translational medical science, and treatment can utilize the power of high-performance computing (HPC) systems. We anticipate that computationally efficient multiscale models will require the use of sophisticated hybrid programming models, mixing distributed message-passing processes [e.g., the message-passing interface (MPI)] with multithreading (e.g., OpenMP, Pthreads). The objective of this study is to compare the performance of such hybrid programming models when applied to the simulation of a realistic physiological multiscale model of the heart. Our results show that the hybrid models perform favorably ..
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Awarded by University of Melbourne
Funding Acknowledgements
Manuscript received March 23, 2011; revised June 4, 2011; accepted June 8, 2011. Date of publication July 14, 2011; date of current version September 21, 2011. This research was supported by a Victorian Life Sciences Computation Initiative (VLSCI), Carlton, Australia, under Grant VR0088 on its Peak Computing Facility at the University of Melbourne, Carlton, Australia, an initiative of the Victorian Government. Asterisk indicates corresponding author.