===affil2: Department of Computer Science, University of Colorado at Boulder, Boulder, CO, 80309 ===firstname: Yuqi ===firstname4: ===firstname3: ===lastname2: Cai ===lastname: Wu ===firstname5: ===affil6: ===lastname3: ===email: yuqi.wu@colorado.edu ===lastname6: ===affil5: ===otherauths: ===lastname4: ===affil4: ===lastname7: ===affil7: ===firstname7: ===postal: Department of Applied Mathematics 526 UCB University of Colorado at Boulder Boulder, CO, 80309 ===firstname6: ===ABSTRACT: We introduce and study a parallel scalable domain decomposition method for the simulation of blood flows in three-dimensional compliant arteries, by using a fully coupled system of linear elasticity equation and incompressible Navier-Stokes equations in an arbitrary Lagrangian-Eulerian framework. The system is discretized with a fully-implicit finite element method on unstructured moving meshes and solved by a Newton-Krylov algorithm preconditioned with an overlapping additive Schwarz method. The investigation focuses on the accuracy and parallel scalability of the algorithm. Simulations based on the patient-specific pulmonary artery geometries are performed on a supercomputer with thousands of processors. Our algorithm is shown to be scalable with a large number of processors and for problems with millions of unknowns. ===affil3: ===lastname5: ===affilother: ===title: A Domain Decomposition Based ALE Framework for Three-dimensional Fluid-structure Interaction with Application in Blood Flow Computation ===firstname2: Xiao-Chuan