title: Domain Decomposition Based High Performance Parallel Computing  
creator: Raju , Mandhapati P.
creator: Khaitan, Siddhartha 
subject: Machine Vision
description: The study deals with the parallelization of finite element based Navier-Stokes codes using domain decomposition and state-ofart sparse direct solvers. There has been significant improvement in the performance of sparse direct solvers. Parallel sparse direct solvers are not found to exhibit good scalability. Hence, the parallelization of sparse direct solvers is done using domain decomposition techniques. A highly efficient sparse direct solver PARDISO is used in this study. The scalability of both Newton and modified Newton algorithms are tested.
publisher: International Journal of Computer Science Issues, IJCSI
date: 2009-10
type: Journal (Paginated)
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/6722/1/IJCSI-5-27-32.pdf
identifier:   Raju , Mandhapati P. and Khaitan, Siddhartha   (2009) Domain Decomposition Based High Performance Parallel Computing.  [Journal (Paginated)]     
relation: http://cogprints.org/6722/