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| Hauptseite > Publikationsdatenbank > A Parallel and Scalable Iterative Solver for Sequences of Dense Eigenproblems Arising in FLAPW > print |
| Hauptseite > Publikationsdatenbank > A Parallel and Scalable Iterative Solver for Sequences of Dense Eigenproblems Arising in FLAPW > print |
| 001 | 150538 | ||
| 005 | 20221109161708.0 | ||
| 037 | _ | _ | |a FZJ-2014-00592 |
| 100 | 1 | _ | |0 P:(DE-Juel1)144723 |a Di Napoli, Edoardo |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 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 | _ | _ | |c 2013 |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1418826940_24696 |2 PUB:(DE-HGF) |x After Call |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 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. |
| 536 | _ | _ | |0 G:(DE-HGF)POF2-411 |a 411 - Computational Science and Mathematical Methods (POF2-411) |c POF2-411 |f POF II |x 0 |
| 536 | _ | _ | |a Simulation and Data Laboratory Quantum Materials (SDLQM) (SDLQM) |0 G:(DE-Juel1)SDLQM |c SDLQM |f Simulation and Data Laboratory Quantum Materials (SDLQM) |x 2 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Berljafa, Mario |b 1 |
| 773 | _ | _ | |y 2013 |
| 909 | C | O | |o oai:juser.fz-juelich.de:150538 |p VDB |
| 910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)144723 |a Forschungszentrum Jülich GmbH |b 0 |k FZJ |
| 913 | 1 | _ | |0 G:(DE-HGF)POF2-411 |1 G:(DE-HGF)POF2-410 |2 G:(DE-HGF)POF2-400 |a DE-HGF |b Schlüsseltechnologien |l Supercomputing |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF2 |
| 914 | 1 | _ | |y 2013 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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