@inproceedings{ea1c90a0371546ea96b24c548459cd2c,
title = "CommGram: A New Visual Analytics Tool for Large Communication Trace Data",
abstract = "The performance of massively parallel program is often impacted by the cost of communication across computing nodes. Analysis of communication patterns is critical for understanding and optimizing massively parallel programs. Visualization can help identify potential communication bottlenecks by displaying message trace data. However, the visual clutter and temporal incoherence problems are typically incurred in existing visualization tools for a considerable number of processors. In this paper, we present a new tool, named CommGram, which supports visual analysis of communication patterns for massive parallel MPI programs. With the benefit of MPI trace library DUMPI of SST, our framework builds hierarchical clustering trees for computational community domain, and takes advantage of graphical user interface (GUI) to convey communication patterns at different levels of detail. The effectiveness of our tool is demonstrated using large-scale parallel applications.",
author = "Jieting Wu and Jianping Zeng and Hongfeng Yu and Kenny, {Joseph P.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 1st Workshop on Visual Performance Analysis, VPA 2014 ; Conference date: 21-11-2014",
year = "2014",
doi = "10.1109/VPA.2014.8",
language = "English (US)",
series = "Proceedings of VPA 2014: 1st Workshop on Visual Performance Analysis - held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "28--35",
booktitle = "Proceedings of VPA 2014",
}