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Profiling vs Static Analysis: The Impact on Precision Tuning

Authors: Denisov, Lev; Magnani, Gabriele; Cattaneo, Daniele; Agosta, Giovanni; Cherubin, Stefano;

Profiling vs Static Analysis: The Impact on Precision Tuning

Abstract

In this study, we compare two different approaches to precision tuning --- worst-case static annotation, and profile-guided annotation. We propose and implement a profile-guided approach in an existing precision tuning tool TAFFO. In comparison to the static approach used by the tool before, the profile-guided approach reaches up to 4 orders of magnitude lower error while providing comparable speedup and requiring less expertise from the programmer, tested on benchmarks of the PolyBench/C suite.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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