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| 001 | 868381 | ||
| 005 | 20221109161716.0 | ||
| 024 | 7 | _ | |a 2128/23784 |2 Handle |
| 037 | _ | _ | |a FZJ-2019-06910 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Di Napoli, Edoardo |0 P:(DE-Juel1)144723 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a SIAM Computational Science and Engineering |g CSE 19 |c Spokane |d 2019-02-24 - 2019-03-01 |w USA |
| 245 | _ | _ | |a The ChASE library for Large Hermitian Eigenvalue Problems |
| 260 | _ | _ | |c 2019 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1578314186_25173 |2 PUB:(DE-HGF) |x Invited |
| 520 | _ | _ | |a ChASE is a new library based on an optimized version of subspace iteration with polynomial acceleration. ChASE is written in C++ using the most current concepts in software engineering which favor a simple integration in application codes and effortless portability over heterogeneous platforms. When solving sequences of Hermitian eigenproblems for a portion of their exterior spectrum, ChASE experiences a considerable speedup and outperforms direct solvers in many scenarios. ChASE performance depends on a number of internal parameters whose choice has been optimized by the automatic estimation of the necessary spectral properties of the eigenproblem. Such feature greatly simplifies its use by the average user. The library is highly scalable, ships with two distinct parallelization schemes and is easily extensible to other computing architectures. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |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 | _ | |a Winkelmann, Jan |0 P:(DE-Juel1)167415 |b 1 |u fzj |
| 700 | 1 | _ | |a Schleife, Andre` |0 P:(DE-HGF)0 |b 2 |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/868381/files/CSE19_Di-Napoli.pdf |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/868381/files/CSE19_Di-Napoli.pdf?subformat=pdfa |
| 909 | C | O | |o oai:juser.fz-juelich.de:868381 |p openaire |p open_access |p VDB |p driver |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)144723 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)167415 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2019 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
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