by Suresh Srinivas, Dennis Gannon
In To appear in Proceedings of Frontiers of Massively Parallel Computation
ftp://ftp.cs.indiana.edu/pub/techreports/TR408.ps.Z
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Abstract:
A new programming style for large-scale parallel programs centered around distributed data structures has emerged. The current parallel program visualization tools were intended for the old style and do not deal with distributed data structures. We show, with several examples of visualizations and animations developed for large scale pC++ programs, that visualizing and animating distributed data structures is an important part of debugging and performance tuning for the new style parallel programs. Our approach is based on a new methodology for recording execution behavior that uses I/O abstractions and compile time source analysis and instrumentation. We also discuss a new framework for investigating the execution behavior of large-scale parallel programs and show where visualization and animation fit in 1
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