Massively parallel linear stability analysis with P_ARPACK for 3D fluid flow modeled with MPSalsa
Author(s) -
Richard B. Lehoucq,
Andrew G. Salinger
Publication year - 1998
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-65414-3
DOI - 10.1007/bfb0095348
Subject(s) - massively parallel , eigenvalues and eigenvectors , computer science , fluid dynamics , flow (mathematics) , stability (learning theory) , linear stability , sequence (biology) , computational science , partial differential equation , computational fluid dynamics , parallel computing , mathematics , mechanics , physics , chemistry , mathematical analysis , biochemistry , quantum mechanics , machine learning , instability
. We are interested in the stability of three-dimensional fluidflows to small disturbances. One computational approach is to solve asequence of large sparse generalized eigenvalue problems for the leadingmodes that arise from discretizating the differential equations modelingthe flow. The modes of interest are the eigenvalues of largest real partand their associated eigenvectors. We discuss our work to develop an efficientand reliable eigensolver for use by the massively parallel...
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