Large-scale parallel programs are used to simulate and study weather patterns, vehicle design, combustion and energy. However, developing these and optimizing these programs to be more accurate and efficient is difficult. Program analysts often investigate the dependencies within the programs. The number of dependencies in such programs is vast, taxing visual tools representing them. The goals of this project are developing visualization approaches to overcome these challenges as well as design guidelines for related large and complex data.
This material is based upon work supported by the National Science Foundation under Grant No. 1656958.
S. Devkota and K. E. Isaacs. CFGExplorer: Designing a Visual Control
Flow Analytics System around Basic Program Analysis Operations. To appear in
Computer Graphics Forum (Proceedings of EuroVis). 2018.
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S. Jacquot. A User Study on Visualizing Gantt Charts. Oral Presentation. National McNair Scholars Conference. Los Angeles, CA, USA. July 26, 2018.
S. Devkota and K. E. Isaacs. CFGExplorer: Designing a Visual Control Flow Analytics System around Basic Program Analysis Operations. Paper Presentation. EuroVis 2018, Brno, Czech Republic. June 7, 2018.