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DOI: 10.4230/DagRep.4.1.17
URN: urn:nbn:de:0030-drops-45166
URL: https://drops.dagstuhl.de/opus/volltexte/2014/4516/
Bremer, Peer-Timo ; Mohr, Bernd ; Pascucci, Valerio ; Schulz, Martin
Weitere Beteiligte (Hrsg. etc.): Peer-Timo Bremer and Bernd Mohr and Valerio Pascucci and Martin Schulz
Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022)
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Abstract
In the first week of January 2014 Dagstuhl hosted a Perspectives Workshop on"Connecting Performance Analysis and Visualization to Advance Extreme Scale
Computing". The event brought together two previously separate communities - from Visualization and HPC Performance Analysis - to discuss a long term joined research agenda. The goal was to identify and address the challenges in using visual representations to understand and optimize the performance of extreme-scale applications running on today's most powerful computing systems like climate modeling, combustion, material science or astro-physics simulations.
BibTeX - Entry
@Article{bremer_et_al:DR:2014:4516,
author = {Peer-Timo Bremer and Bernd Mohr and Valerio Pascucci and Martin Schulz},
title = {{Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022)}},
pages = {17--35},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2014},
volume = {4},
number = {1},
editor = {Peer-Timo Bremer and Bernd Mohr and Valerio Pascucci and Martin Schulz},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2014/4516},
URN = {urn:nbn:de:0030-drops-45166},
doi = {10.4230/DagRep.4.1.17},
annote = {Keywords: Large scale data presentation and analysis, Exascale class machine optimization, Performance data analysis and root cause detection, High dimensional }
}
| Keywords: | Large scale data presentation and analysis, Exascale class machine optimization, Performance data analysis and root cause detection, High dimensional | |
| Seminar: | Dagstuhl Reports, Volume 4, Issue 1 | |
| Issue date: | 2014 | |
| Date of publication: | 23.04.2014 |
