Geometry-Aware Visualization of Performance Data
Abstract
Phenomena in the performance behaviour of high-performance computing (HPC) applications can stem from the HPC system itself, from the application's code, but also from the simulation domain. In order to analyse the latter phenomena, we propose a system that visualizes profile-based performance data in its spatial context, i.e., on the geometry, in the simulation domain. It thus helps HPC experts but also simulation experts understand the performance data better. In addition, our tool reduces the initially large search space by automatically labelling large-variation views on the data which require detailed analysis.
BibTeX
@inproceedings {10.2312:eurp.20161136,
booktitle = {EuroVis 2016 - Posters},
editor = {Tobias Isenberg and Filip Sadlo},
title = {{Geometry-Aware Visualization of Performance Data}},
author = {Vierjahn, Tom and Hentschel, Bernd and Kuhlen, Torsten W.},
year = {2016},
publisher = {The Eurographics Association},
ISSN = {-},
ISBN = {978-3-03868-015-4},
DOI = {10.2312/eurp.20161136}
}
booktitle = {EuroVis 2016 - Posters},
editor = {Tobias Isenberg and Filip Sadlo},
title = {{Geometry-Aware Visualization of Performance Data}},
author = {Vierjahn, Tom and Hentschel, Bernd and Kuhlen, Torsten W.},
year = {2016},
publisher = {The Eurographics Association},
ISSN = {-},
ISBN = {978-3-03868-015-4},
DOI = {10.2312/eurp.20161136}
}