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| Home > Publications database > Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022) > print |
| 001 | 281604 | ||
| 005 | 20250314084113.0 | ||
| 024 | 7 | _ | |a 10.4230/DagMan.5.1.1 |2 doi |
| 037 | _ | _ | |a FZJ-2016-01293 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Bremer, Peer-Timo |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022) |
| 260 | _ | _ | |a Wadern/Saarbrücken, Germany |c 2015 |b Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH |
| 300 | _ | _ | |a 24 p. |
| 336 | 7 | _ | |a Book |b book |m book |0 PUB:(DE-HGF)3 |s 1454318244_19495 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a book |2 DRIVER |
| 336 | 7 | _ | |a Book |0 1 |2 EndNote |
| 336 | 7 | _ | |a Output Types/Book |2 DataCite |
| 336 | 7 | _ | |a BOOK |2 ORCID |
| 336 | 7 | _ | |a BOOK |2 BibTeX |
| 490 | 0 | _ | |a Dagstuhl Manifestos |v 5/1 |
| 520 | _ | _ | |a In the first week of January 2014 Schloss Dagstuhl hosted a Perspectives Workshop on “ConnectingPerformance Analysis and Visualization to Advance Extreme Scale Computing”. Theworkshop brought together two previously separate communities – from Visualization and PerformanceAnalysis for High Performance Computing – to discuss a long term joint researchagenda. The goal was to identify and address the challenges in using visual representations tounderstand and optimize the performance of extreme-scale applications running on today’s mostpowerful computing systems like climate modeling, combustion, material science or astro-physicssimulations. |
| 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 DataCite |
| 700 | 1 | _ | |a Mohr, Bernd |0 P:(DE-Juel1)132199 |b 1 |e Corresponding author |u fzj |
| 700 | 1 | _ | |a Pascucci, Valerio |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Schulz, Martin |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Gamblin, Todd |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Brunst, Holger |0 P:(DE-HGF)0 |b 5 |
| 773 | _ | _ | |a 10.4230/DagMan.5.1.1 |
| 909 | C | O | |o oai:juser.fz-juelich.de:281604 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |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 2015 |
| 915 | _ | _ | |a No Authors Fulltext |0 StatID:(DE-HGF)0550 |2 StatID |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a book |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
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