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.
@Article{bremer_et_al:DagRep.4.1.17, author = {Bremer, Peer-Timo and Mohr, Bernd and Pascucci, Valerio and Schulz, Martin}, 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 = {Bremer, Peer-Timo and Mohr, Bernd and Pascucci, Valerio and Schulz, Martin}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.4.1.17}, 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} }
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