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Visualizing Distributed Data Structures (1995)
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| Venue: | IN TO APPEAR IN PROCEEDINGS OF FRONTIERS OF MASSIVELY PARALLEL COMPUTATION |
| Citations: | 2 - 1 self |
BibTeX
@INPROCEEDINGS{Srinivas95visualizingdistributed,
author = {Suresh Srinivas and Dennis Gannon},
title = {Visualizing Distributed Data Structures},
booktitle = {IN TO APPEAR IN PROCEEDINGS OF FRONTIERS OF MASSIVELY PARALLEL COMPUTATION},
year = {1995},
publisher = {}
}
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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.
Keyphrases
data structure distributed data structure large-scale parallel program execution behavior new programming style old style important part new methodology compile time source analysis new style parallel program performance tuning several example large scale pc program current parallel program visualization tool animation fit new framework
