creators_name: Raju, Mandhapati P. type: journalp datestamp: 2009-11-14 11:31:32 lastmod: 2011-03-11 08:57:32 metadata_visibility: show title: Parallel Computation of Finite Element Navier-Stokes codes using MUMPS Solver ispublished: pub subjects: comp-sci-mach-learn full_text_status: public keywords: finite element, MUMPS solver, distributed computing, Newton method abstract: The study deals with the parallelization of 2D and 3D finite element based Navier-Stokes codes using direct solvers. Development of sparse direct solvers using multifrontal solvers has significantly reduced the computational time of direct solution methods. Although limited by its stringent memory requirements, multifrontal solvers can be computationally efficient. First the performance of MUltifrontal Massively Parallel Solver (MUMPS) is evaluated for both 2D and 3D codes in terms of memory requirements and CPU times. The scalability of both Newton and modified Newton algorithms is tested. date: 2009-09 date_type: published publication: M. P. Raju, "Parallel Computation of Finite Element Navier-Stokes codes using MUMPS Solver", International Journal of Computer Science Issues, IJCSI, Volume 4, Issue 2, pp20-24, September 2009 volume: 4 number: 2 publisher: International Journal of Computer Science Issues, IJCSI refereed: TRUE citation: Raju, Mandhapati P. (2009) Parallel Computation of Finite Element Navier-Stokes codes using MUMPS Solver. [Journal (Paginated)] document_url: http://cogprints.org/6713/1/4-2-20-24.pdf