?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Parallel+Computation+of+Finite+Element+Navier-Stokes+codes+using+MUMPS+Solver&rft.creator=Raju%2C+Mandhapati+P.&rft.subject=Machine+Learning&rft.description=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%2C+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.&rft.publisher=International+Journal+of+Computer+Science+Issues%2C+IJCSI&rft.date=2009-09&rft.type=Journal+(Paginated)&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F6713%2F1%2F4-2-20-24.pdf&rft.identifier=++Raju%2C+Mandhapati+P.++(2009)+Parallel+Computation+of+Finite+Element+Navier-Stokes+codes+using+MUMPS+Solver.++%5BJournal+(Paginated)%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F6713%2F