001     151320
005     20250314084110.0
024 7 _ |2 Handle
|a 2128/5921
037 _ _ |a FZJ-2014-01299
041 _ _ |a English
100 1 _ |0 P:(DE-Juel1)132112
|a Geimer, Markus
|b 0
|e Corresponding author
|u fzj
111 2 _ |a 25th International Conference for High Performance Computing, Networking, Storage and Analysis
|c Denver
|d 2013-11-17 - 2013-11-22
|g SC13
|w USA
245 _ _ |a Hands-on Practical Hybrid Parallel Application Performance Engineering
260 _ _ |c 2013
336 7 _ |a Conference Presentation
|b conf
|m conf
|0 PUB:(DE-HGF)6
|s 151320
|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 This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on the Score-P community instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI, OpenMP, hybrid MPI+OpenMP, and increasingly common usage of accelerators. Parallel performance evaluation tools from the VI-HPS (Virtual Institute High Productivity Supercomputing) are introduced and featured in hands-on exercises with Scalasca, Vampir and TAU. We present the complete workflow of performance engineering, including instrumentation, measurement (profiling and tracing, timing and PAPI hardware counters), data storage, analysis, and visualization. Emphasis is placed on how tools are used in combination for identifying performance problems and investigating optimization alternatives. Using their own notebook computers with a provided Linux Live-ISO image containing the tools (booted from DVD/USB or within a virtual machine) will help to prepare participants to locate and diagnose performance bottlenecks in their own parallel programs.
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
700 1 _ |0 P:(DE-HGF)0
|a Shende, Sameer
|b 1
700 1 _ |0 P:(DE-HGF)0
|a Wesarg, Bert
|b 2
700 1 _ |0 P:(DE-Juel1)132302
|a Wylie, Brian J. N.
|b 3
|u fzj
856 4 _ |u https://juser.fz-juelich.de/record/151320/files/FZJ-2014-01299.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/151320/files/FZJ-2014-01299.jpg?subformat=icon-144
|x icon-144
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/151320/files/FZJ-2014-01299.jpg?subformat=icon-180
|x icon-180
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/151320/files/FZJ-2014-01299.jpg?subformat=icon-640
|x icon-640
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:151320
|p openaire
|p open_access
|p VDB
|p driver
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)132112
|a Forschungszentrum Jülich GmbH
|b 0
|k FZJ
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)132302
|a Forschungszentrum Jülich GmbH
|b 3
|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
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a conf
980 _ _ |a UNRESTRICTED
980 _ _ |a FullTexts
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a VDB
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21