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

TL;DR

This paper introduces a modular framework for designing and executing high-performance, high-fidelity multiscale biomedical simulations across diverse computational resources, enabling efficient coupling and execution of complex models.

Contribution

It presents a flexible, scalable approach for multiscale biomedical simulations that can run efficiently on various computational platforms, including supercomputers.

Findings

Coupling overhead is between 1-10% of total execution time.

Applications successfully run on desktops to petascale supercomputers.

Modular design facilitates efficient multiscale simulation deployment.

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.