Publication Type |
pre-print |
School or College |
<blank> |
Department |
Computing, School of |
Creator |
Pascucci, Valerio |
Other Author |
Isaacs, Katherine E.; Landge, Aaditya G.; Gamblin, Todd; Bremer, Peer-Timo; Hamann, Bernd |
Title |
Exploring performance data with boxfish |
Date |
2012-01-01 |
Description |
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. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
First Page |
1380 |
Last Page |
1381 |
Language |
eng |
Bibliographic Citation |
Isaacs, K. E., Landge, A. G., Gamblin, T., Bremer, P.-T., Pascucci, V., & Hamann, B. (2012). Exploring performance data with boxfish. Proceedings - 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, SCC 2012, 1380-1. |
Rights Management |
(c) [2012] IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
452,304 bytes |
Identifier |
uspace,18273 |
ARK |
ark:/87278/s6vh66p5 |
Setname |
ir_uspace |
ID |
708819 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6vh66p5 |