001     885633
005     20230310131340.0
024 7 _ |a 10.1007/s00791-020-00330-5
|2 doi
024 7 _ |a 1432-9360
|2 ISSN
024 7 _ |a 1433-0369
|2 ISSN
024 7 _ |a 2128/25908
|2 Handle
024 7 _ |a WOS:000572641700001
|2 WOS
037 _ _ |a FZJ-2020-03974
082 _ _ |a 610
100 1 _ |a Schöbel, Ruth
|0 P:(DE-Juel1)169281
|b 0
|e Corresponding author
|u fzj
245 _ _ |a PFASST-ER: combining the parallel full approximation scheme in space and time with parallelization across the method
260 _ _ |a Heidelberg
|c 2020
|b Springer
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1602851489_16749
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a To extend prevailing scaling limits when solving time-dependent partial differential equations, the parallel full approximation scheme in space and time (PFASST) has been shown to be a promising parallel-in-time integrator. Similar to space–time multigrid, PFASST is able to compute multiple time-steps simultaneously and is therefore in particular suitable for large-scale applications on high performance computing systems. In this work we couple PFASST with a parallel spectral deferred correction (SDC) method, forming an unprecedented doubly time-parallel integrator. While PFASST provides global, large-scale “parallelization across the step”, the inner parallel SDC method allows integrating each individual time-step “parallel across the method” using a diagonalized local Quasi-Newton solver. This new method, which we call “PFASST with Enhanced concuRrency” (PFASST-ER), therefore exposes even more temporal concurrency. For two challenging nonlinear reaction-diffusion problems, we show that PFASST-ER works more efficiently than the classical variants of PFASST and can use more processors than time-steps.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|x 0
|f POF III
536 _ _ |a DFG project 450829162 - Raum-Zeit-parallele Simulation multimodale Energiesystemen (450829162)
|0 G:(GEPRIS)450829162
|c 450829162
|x 1
536 _ _ |a PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)
|0 G:(DE-Juel1)PHD-NO-GRANT-20170405
|c PHD-NO-GRANT-20170405
|x 2
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Speck, Robert
|0 P:(DE-Juel1)132268
|b 1
|u fzj
773 _ _ |a 10.1007/s00791-020-00330-5
|g Vol. 23, no. 1-4, p. 12
|0 PERI:(DE-600)1458972-2
|n 1-4
|p 12
|t Computing and visualization in science
|v 23
|y 2020
|x 1432-9360
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/885633/files/PFASST_ER%2814%29.pdf
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/885633/files/Sch%C3%B6bel-Speck2020_Article_PFASST-ERCombiningTheParallelF.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/885633/files/PFASST_ER%2814%29.pdf?subformat=pdfa
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/885633/files/Sch%C3%B6bel-Speck2020_Article_PFASST-ERCombiningTheParallelF.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:885633
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)169281
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)132268
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 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2019-12-20
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2019-12-20
915 _ _ |a WoS
|0 StatID:(DE-HGF)0112
|2 StatID
|b Emerging Sources Citation Index
|d 2019-12-20
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2019-12-20
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2019-12-20
|w ger
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2019-12-20
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2019-12-20
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2019-12-20
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2019-12-20
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21