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Scalable parallel methods for patient-specific blood flow simulations

Numerical simulation of blood flows in compliant arteries based on patient-specific geometry and parameters can be clinically helpful for physicians or researchers to study vascular diseases, to enhance diagnoses, as well as to plan surgery procedures. In this talk, we will discuss some scalable parallel methods for the simulation of blood flow in compliant arteries on large scale supercomputers. The blood flow is modeled by 3D unsteady incompressible Navier-Stokes equations with a lumped parameter boundary condition, which are discretized with a stabilized finite element based on unstructured meshes in space and a fully implicit method in time. The large scale discretized nonlinear systems are solved by a parallel Newton-Krylov-Schwarz method. Several mathematical, biomechanical, and supercomputing issues will be discussed in detail, and some numerical experiments for the cerebral and coronary arteries will be presented. We will also report the parallel performance of the methods on a supercomputer with a large number of processors.