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Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations.

, , , , , , , , and . IEEE Trans. Vis. Comput. Graph., 18 (12): 2467-2476 (2012)

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Abstract: Exploring Performance Data with Boxfish., , , , , and . SC Companion, page 1380-1381. IEEE Computer Society, (2012)Visualizing the Topology and Data Traffic of Multi-Dimensional Torus Interconnect Networks., , , and . IEEE Access, (2018)Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time., , , , , , and . IEEE Trans. Vis. Comput. Graph., 20 (12): 2349-2358 (2014)State of the Art of Performance Visualization., , , , , , , and . EuroVis (STARs), Eurographics Association, (2014)Stress-Plus-X (SPX) Graph Layout., , , , and . GD, volume 11904 of Lecture Notes in Computer Science, page 291-304. Springer, (2019)Novel views of performance data to analyze large-scale adaptive applications., , , , , , and . SC, page 31. IEEE/ACM, (2012)Mapping applications with collectives over sub-communicators on torus networks., , , , , , , , , and 2 other author(s). SC, page 97. IEEE/ACM, (2012)CFGExplorer: Designing a Visual Control Flow Analytics System around Basic Program Analysis Operations., and . Comput. Graph. Forum, 37 (3): 453-464 (2018)Creating a Tool Set for Optimizing Topology-Aware Node Mappings., , , , , , and . Parallel Tools Workshop, page 1-12. Springer, (2011)Recovering logical structure from Charm++ event traces., , , , , , , and . SC, page 49:1-49:12. ACM, (2015)