PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization

PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization

Performance optimization for parallel loop-oriented programs compromises between parallelism and locality. We present a visualization interface that allows programmers to assist the compiler in generating optimal code. It greatly improves the user's understanding of the transformations that too...

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Veröffentlicht in:IEEE computer graphics and applications 2019-01, Vol.39 (1), p.84-99
Hauptverfasser: Papenhausen, Eric, Langston, M. Harper, Meister, Benoit, Lethin, Richard, Mueller, Klaus
Format: Magazinearticle
Sprache:eng
Schlagworte:
Image color analysis
Open loop systems
Optimization
Parallel processing
Performance evaluation
Program processors
Public transportation
Transformations
Visualization
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Zusammenfassung:Performance optimization for parallel loop-oriented programs compromises between parallelism and locality. We present a visualization interface that allows programmers to assist the compiler in generating optimal code. It greatly improves the user's understanding of the transformations that took place and aids in making additional transformations in a visually intuitive way.
ISSN:0272-1716
1558-1756
DOI:10.1109/MCG.2018.2877113