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Solving Large Sparse Linear Systems in End-to-end Accelerator Structure Simulations [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy, 2004.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
vp : digital, PDF file
Additional Creators
Stanford Linear Accelerator Center, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
This paper presents a case study of solving very large sparse linear systems in end-to-end accelerator structure simulations. Both direct solvers and iterative solvers are investigated. A parallel multilevel preconditioner based on hierarchical finite element basis functions is considered and has been implemented to accelerate the convergence of iterative solvers. A linear system with matrix size 93,147,736 and with 3,964,961,944 non-zeros from 3D electromagnetic finite element discretization has been solved in less than 8 minutes with 1024 CPUs on the NERSC IBM SP. The resource utilization as well as the application performance for these solvers is discussed.
Report Numbers
E 1.99:slac-pub-10320
slac-pub-10320
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
01/23/2004.
"slac-pub-10320"
Lee, L.
Type of Report and Period Covered Note
Topical;
Funding Information
AC03-76SF00515
View MARC record | catkey: 14678833