Hauptseite > Publikationsdatenbank > Scalable parallel performance measurement and analysis tools - state-of-the-art and future challenges > print

001     187234
005     20250314084112.0
024 7 _ |2 doi
|a 10.14529/jsfi140207
037 _ _ |a FZJ-2015-00907
041 _ _ |a English
082 _ _ |a 004
100 1 _ |0 P:(DE-Juel1)132199
|a Mohr, Bernd
|b 0
|e Corresponding Author
|u fzj
245 _ _ |a Scalable parallel performance measurement and analysis tools - state-of-the-art and future challenges
260 _ _ |a Chelyabinsk
|b South Ural State University
|c 2014
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1429685520_1332
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
520 _ _ |a Current large-scale HPC systems consist of complex configurations with a huge number of potentially heterogeneous components. As the systems get larger, their behavior becomes more and more dynamic and unpredictable because of hard- and software re-configurations due to faultrecovery and power usage optimizations. Deep software hierarchies of large, complex system software and middleware components are required to operate such systems. Therefore, porting, adapting and tuning applications to today's complex systems is a complicated and time-consumingtask. Sophisticated integrated performance measurement, analysis, and optimization capabilities are required to efficiently utilize such systems. This article will summarize the state-of-the-art of scalable and portable parallel performance tools and the challenges these tools are facing on future extreme-scale and big data systems.
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 _ _ |0 G:(DE-Juel-1)ATMLPP
|a ATMLPP - ATML Parallel Performance (ATMLPP)
|c ATMLPP
|x 1
588 _ _ |a Dataset connected to CrossRef, juser.fz-juelich.de
773 _ _ |0 PERI:(DE-600)2809718-X
|a 10.14529/jsfi140207
|n 2
|p 108-123
|t Supercomputing frontiers and innovations
|v 1
|x 2313-8734
|y 2014
856 4 _ |u https://juser.fz-juelich.de/record/187234/files/18-99-3-PB.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/187234/files/18-99-3-PB.gif?subformat=icon
|x icon
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/187234/files/18-99-3-PB.jpg?subformat=icon-1440
|x icon-1440
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/187234/files/18-99-3-PB.jpg?subformat=icon-180
|x icon-180
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/187234/files/18-99-3-PB.jpg?subformat=icon-640
|x icon-640
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/187234/files/18-99-3-PB.pdf?subformat=pdfa
|x pdfa
|y Restricted
909 C O |o oai:juser.fz-juelich.de:187234
|p VDB
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)132199
|a Forschungszentrum Jülich GmbH
|b 0
|k FZJ
913 2 _ |0 G:(DE-HGF)POF3-511
|1 G:(DE-HGF)POF3-510
|2 G:(DE-HGF)POF3-500
|a DE-HGF
|b Key Technologies
|l Supercomputing & Big Data
|v Computational Science and Mathematical Methods
|x 0
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 2014
915 _ _ |0 StatID:(DE-HGF)0040
|2 StatID
|a Peer Review unknown
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 I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21