Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations

Abstract

Multiscale simulations are essential in the biomedical domain to accurately model human physiology. We present a modular approach for designing, constructing and executing multiscale simulations on a wide range of resources, from desktops to petascale supercomputers, including combinations of these. Our work features two multiscale applications, in-stent restenosis and cerebrovascular bloodflow, which combine multiple existing single-scale applications to create a multiscale simulation. These applications can be efficiently coupled, deployed and executed on computers up to the largest (peta) scale, incurring a coupling overhead of 1 to 10% of the total execution time.

arXiv commentaccepted by Interface Focus. 17 pages, 2 figures, 4 tables

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Cited by in corpus (5)

• Analyzing and Modeling the Performance of the HemeLB Lattice-Boltzmann Simulation Environment
• Impact of blood rheology on wall shear stress in a model of the middle cerebral artery
• Two step clustering for data reduction combining DBSCAN and k-means clustering
• An automated multiscale ensemble simulation approach for vascular blood flow
• MPWide: a light-weight library for efficient message passing over wide area networks