?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Domain+Decomposition+Based+High+Performance+Parallel+Computing%0D%0A&rft.creator=Raju+%2C+Mandhapati+P.&rft.creator=Khaitan%2C+Siddhartha+&rft.subject=Machine+Vision&rft.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%2C+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.&rft.publisher=International+Journal+of+Computer+Science+Issues%2C+IJCSI&rft.date=2009-10&rft.type=Journal+(Paginated)&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F6722%2F1%2FIJCSI-5-27-32.pdf&rft.identifier=++Raju+%2C+Mandhapati+P.+and+Khaitan%2C+Siddhartha+++(2009)+Domain+Decomposition+Based+High+Performance+Parallel+Computing.++%5BJournal+(Paginated)%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F6722%2F