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| Home > Publications database > Separating the wheat from the chaff: Identifying Relevant and Similar Performance Data with Visual Analytics > print |
| 001 | 808937 | ||
| 005 | 20250314084114.0 | ||
| 024 | 7 | _ | |a 10.1145/2835238.2835242 |2 doi |
| 037 | _ | _ | |a FZJ-2016-02457 |
| 100 | 1 | _ | |a von Rüden, Laura |0 P:(DE-HGF)0 |b 0 |
| 111 | 2 | _ | |a 2nd Workshop on Visual Performance Analysis |g VPA '15 |c Austin |d 11/15/2015 - 11/15/2015 |w Texas |
| 245 | _ | _ | |a Separating the wheat from the chaff: Identifying Relevant and Similar Performance Data with Visual Analytics |
| 260 | _ | _ | |a New York, New York, USA |c 2015 |b ACM Press |
| 295 | 1 | 0 | |a Proceedings of the 2nd Workshop on Visual Performance Analysis - VPA '15. - ISBN 9781450340137 |
| 300 | _ | _ | |a Article No. 4 |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1461932029_20127 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 520 | _ | _ | |a Performance-analysis tools are indispensable for understanding and optimizing the behavior of parallel programs running on increasingly powerful supercomputers. However, with size and complexity of hardware and software on the rise, performance data sets are becoming so voluminous that their analysis poses serious challenges. In particular, the search space that must be traversed and the number of individual performance views that must be explored to identify phenomena of interest becomes too large. To mitigate this problem, we use visual analytics. Specifically, we accelerate the analysis of performance profiles by automatically identifying (1) relevant and (2) similar data subsets and their performance views. We focus on views of the virtual-process topology, showing that their relevance can be well captured with visual-quality metrics and that they can be further assigned to topical groups according to their visual features. A case study demonstrates that our approach helps reduce the search space by up to 80%. |
| 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 | _ | _ | |0 G:(DE-Juel-1)ATMLPP |a ATMLPP - ATML Parallel Performance (ATMLPP) |c ATMLPP |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef Conference |
| 700 | 1 | _ | |a Hermanns, Marc-André |0 P:(DE-Juel1)168253 |b 1 |u fzj |
| 700 | 1 | _ | |a Behrisch, Michael |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Keim, Daniel |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Mohr, Bernd |0 P:(DE-Juel1)132199 |b 4 |u fzj |
| 700 | 1 | _ | |a Wolf, Felix |0 P:(DE-HGF)0 |b 5 |
| 773 | _ | _ | |a 10.1145/2835238.2835242 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/808937/files/vonRueden_ea2015_VPA.pdf |y Restricted |
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| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/808937/files/vonRueden_ea2015_VPA.jpg?subformat=icon-640 |x icon-640 |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/808937/files/vonRueden_ea2015_VPA.pdf?subformat=pdfa |x pdfa |y Restricted |
| 909 | C | O | |o oai:juser.fz-juelich.de:808937 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)168253 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)132199 |
| 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 2016 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 920 | 1 | _ | |0 I:(DE-82)080012_20140620 |k JARA-HPC |l JARA - HPC |x 1 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a I:(DE-82)080012_20140620 |
| 980 | _ | _ | |a UNRESTRICTED |
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