Paper Info
Title
Visualizing Hierarchical Performance Profiles of Parallel Codes Using <sc>CallFlow</sc>
Abstract
Calling context trees (CCTs) couple performance metrics with call paths, helping understand the execution and performance of parallel programs. To identify performance bottlenecks, programmers and performance analysts visually explore CCTs to form and validate hypotheses regarding degraded performance. However, due to the complexity of parallel programs, existing visual representations do not scale to applications running on a large number of processors. We present CallFlow, an interactive visual analysis tool that provides a high-level overview of CCTs together with semantic refinement operations to progressively explore CCTs. Using a flow-based metaphor, we visualize a CCT by treating execution time as a resource spent during the call chain, and demonstrate the effectiveness of our design with case studies on large-scale, production simulation codes.
Year
DOI
Venue
2021
10.1109/TVCG.2019.2953746
IEEE Transactions on Visualization and Computer Graphics
Keywords
DocType
Volume
Performance analysis,software visualization,visual analytics,hierarchical data,coordinated and multiple views
Journal
27
Issue
ISSN
Citations 
4
1077-2626
0
PageRank 
References 
Authors
0.34
26
8
Name
Order
Citations
PageRank
Huu Tan Pham Nguyen100.34
Abhinav Bhatele262543.42
Nikhil Jain332124.01
Suraj Kesavan400.34
Harsh Bhatia5858.99
Todd Gamblin652744.56
Kwan-Liu Ma75145334.46
Peer-Timo Bremer8144682.47