DocumentCode
1917719
Title
Abstract: Exploring Performance Data with Boxfish
Author
Isaacs, Katherine E. ; Landge, Aaditya G. ; Gamblin, Todd ; Bremer, Peer-Timo ; Pascucci, V. ; Hamann, Bernd
Author_Institution
Dept. of Comput. Sci., Univ. of California, Davis, Davis, CA, USA
fYear
2012
fDate
10-16 Nov. 2012
Firstpage
1380
Lastpage
1381
Abstract
The growth in size and complexity of scaling applications and the systems on which they run pose challenges in analyzing and improving their overall performance. With metrics coming from thousands or millions of processes, visualization techniques are necessary to make sense of the increasing amount of data. To aid the process of exploration and understanding, we announce the initial release of Boxfish, an extensible tool for manipulating and visualizing data pertaining to application behavior. Combining and visually presenting data and knowledge from multiple domains, such as the application´s communication patterns and the hardware´s network configuration and routing policies, can yield the insight necessary to discover the underlying causes of observed behavior. Boxfish allows users to query, filter and project data across these domains to create interactive, linked visualizations.
Keywords
data visualisation; information filtering; query processing; Boxfish; application behavior; application communication patterns; data filtering; data manipulation; data projection; data visualization; hardware network configuration; interactive visualizations; linked visualizations; performance data exploration; query; routing policies; visualization techniques;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location
Salt Lake City, UT
Print_ISBN
978-1-4673-6218-4
Type
conf
DOI
10.1109/SC.Companion.2012.202
Filename
6495985
Link To Document