001     188736
005     20210129215238.0
020 _ _ |a 978-3826518263
024 7 _ |a GVK:216749549
|2 GVK
037 _ _ |a FZJ-2015-02060
041 _ _ |a German
100 1 _ |a Bücker, H. Martin
|0 P:(DE-HGF)0
|b 0
|e Corresponding Author
111 2 _ |a 4. Workshop über Wissenschaftliches Rechnen
|c Braunschweig
|d 1996-10-09 - 1996-10-11
|w Germany
245 _ _ |a Performance of three Krylov subspace methods on a Paragon system
250 _ _ |a Als Ms. gedr
260 _ _ |a Aachen
|c 1996
|b Shaker
295 1 0 |a Paralleles und verteiltes Rechnen, Beiträge zum 4. Workshop über Wissenschaftliches Rechnen, TU Braunschweig, 1996
300 _ _ |a 29-38
336 7 _ |a Contribution to a conference proceedings
|b contrib
|m contrib
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|s 1426606510_16970
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336 7 _ |a Contribution to a book
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336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Output Types/Conference Paper
|2 DataCite
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a INPROCEEDINGS
|2 BibTeX
490 0 _ |a Berichte aus der Informatik
520 _ _ |a For the solution of a system of linear equations with general non-Hermitian nonsingular coefficient matrix, three Krylov subspace methods, CGS, TFQMR and QMR, are applicable offering the advantage that the coefficient matrix is solely involved in the form of matrix-vector products. If the coefficient matrix is sparse these iterative methods are attractive in contrast to direct methods, provided that they converge sufficiently fast. In this note, the performance of the three methods is investigated on an Intel PARAGON XP/S 10, a parallel machine with distributed memory.
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650 _ 7 |a Wissenschaftliches Rechnen
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650 _ 7 |a Parallelverarbeitung
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856 4 _ |u http://d-nb.info/948820993/04
909 C O |o oai:juser.fz-juelich.de:188736
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913 2 _ |a DE-HGF
|b Forschungsbereich Materie
|l Forschungsbereich Materie
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920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)VDB62
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|l Zentralinstitut für Angewandte Mathematik
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920 1 _ |0 I:(DE-Juel1)JSC-20090406
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|l Jülich Supercomputing Center
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981 _ _ |a I:(DE-Juel1)JSC-20090406


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