@article{(Open Science Index):https://publications.waset.org/pdf/4908, title = {High Performance Computing Using Out-of- Core Sparse Direct Solvers}, author = {Mandhapati P. Raju and Siddhartha Khaitan}, country = {}, institution = {}, abstract = {In-core memory requirement is a bottleneck in solving large three dimensional Navier-Stokes finite element problem formulations using sparse direct solvers. Out-of-core solution strategy is a viable alternative to reduce the in-core memory requirements while solving large scale problems. This study evaluates the performance of various out-of-core sequential solvers based on multifrontal or supernodal techniques in the context of finite element formulations for three dimensional problems on a Windows platform. Here three different solvers, HSL_MA78, MUMPS and PARDISO are compared. The performance of these solvers is evaluated on a 64-bit machine with 16GB RAM for finite element formulation of flow through a rectangular channel. It is observed that using out-of-core PARDISO solver, relatively large problems can be solved. The implementation of Newton and modified Newton's iteration is also discussed.}, journal = {International Journal of Mathematical and Computational Sciences}, volume = {3}, number = {9}, year = {2009}, pages = {639 - 645}, ee = {https://publications.waset.org/pdf/4908}, url = {https://publications.waset.org/vol/33}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 33, 2009}, }