TY  - GEN
ID  - cogprints6713
UR  - http://cogprints.org/6713/
A1  - Raju, Mandhapati P.
Y1  - 2009/09//
N2  - 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.
PB  - International Journal of Computer Science Issues, IJCSI
KW  - finite element
KW  -  MUMPS solver
KW  -  distributed computing
KW  -  Newton method
TI  - Parallel Computation of Finite Element Navier-Stokes codes using MUMPS Solver
AV  - public
ER  -

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