PUMA-V: An interactive visual tool for code optimization and parallelization based on the polyhedral model

Taking advantage of multi-core processing has become crucial in realizing significant performance gains for most applications. When it comes to performance optimization, this has led to a delicate balancing act between parallelism and locality. Furthermore, exposing parallelism can require some non-...

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Bibliographic Details
Published in:	2016 New York Scientific Data Summit (NYSDS) pp. 1 - 4
Main Authors:	Papenhausen, Eric, Mueller, Klaus, Langston, Harper, Meister, Benoit, Lethin, Richard
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2016
Subjects:	Law Optimization Parallel processing polyhedral model Runtime Shape Visualization
Online Access:	Get full text
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Summary:	Taking advantage of multi-core processing has become crucial in realizing significant performance gains for most applications. When it comes to performance optimization, this has led to a delicate balancing act between parallelism and locality. Furthermore, exposing parallelism can require some non-trivial transformations. Although tools exist to automatically identify good transformations, a user guided exploration can often yield substantially better performance. We have developed a visualization interface, called PUMA-V, which combines user and machine efforts to optimize parallel code performance. By conveying information related to the structure of the code and performance characteristics, the user can focus on a subset of transformations to alleviate performance bottlenecks. Combining automatic optimization techniques with interactive visualizations helps the user perform this exploration rapidly.
DOI:	10.1109/NYSDS.2016.7747826