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001     154999
005     20221109161709.0
020 _ _ |a 978-3-642-55194-9 (print)
020 _ _ |a 978-3-642-55195-6 (electronic)
024 7 _ |a 10.1007/978-3-642-55195-6_37
|2 doi
024 7 _ |a 1611-3349
|2 ISSN
024 7 _ |a 0302-9743
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024 7 _ |a WOS:000347415600037
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037 _ _ |a FZJ-2014-04195
041 _ _ |a English
082 _ _ |a 004
100 1 _ |a Berljafa, Mario
|0 P:(DE-HGF)0
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111 2 _ |a The 10th International Conference on Parallel Processing and Applied Mathematics
|g PPAM 2013
|c Warsaw
|d 2013-09-08 - 2013-09-11
|w Poland
245 _ _ |a A Parallel and Scalable Iterative Solver for Sequences of Dense Eigenproblems Arising in FLAPW
260 _ _ |a Berlin, Heidelberg
|c 2014
|b Springer Berlin Heidelberg
295 1 0 |a Parallel Processing and Applied Mathematics
300 _ _ |a 395 - 406
336 7 _ |a Contribution to a conference proceedings
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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490 0 _ |a Lecture Notes in Computer Science
|v 8385
520 _ _ |a In one of the most important methods in Density Functional Theory – the Full-Potential Linearized Augmented Plane Wave (FLAPW) method – dense generalized eigenproblems are organized in long sequences. Moreover each eigenproblem is strongly correlated to the next one in the sequence. We propose a novel approach which exploits such correlation through the use of an eigensolver based on subspace iteration and accelerated with Chebyshev polynomials. The resulting solver, parallelized using the Elemental library framework, achieves excellent scalability and is competitive with current dense parallel eigensolvers.
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700 1 _ |a Di Napoli, Edoardo
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|e Corresponding Author
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773 _ _ |a 10.1007/978-3-642-55195-6_37
856 4 _ |u https://juser.fz-juelich.de/record/154999/files/FZJ-2014-04195.pdf
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910 1 _ |a Forschungszentrum Jülich GmbH
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914 1 _ |y 2014
915 _ _ |a No Peer review
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