Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization

Here, we develop a ytopt autotuning framework that leverages Bayesian optimization to explore the parameter space search and compare four different supervised learning methods within Bayesian optimization and evaluate their effectiveness. We select six of the most complex PolyBench benchmarks and ap...

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Veröffentlicht in:	Concurrency and computation 2021-11, Vol.34 (20)
Hauptverfasser:	Wu, Xingfu, Kruse, Michael, Balaprakash, Prasanna, Finkel, Hal, Hovland, Paul, Taylor, Valerie, Hall, Mary
Format:	Artikel
Sprache:	eng
Schlagworte:	ASTRONOMY AND ASTROPHYSICS Autotuning Clang loop transformation machine learning optimization Polly PolyBench benchmarks
Online-Zugang:	Volltext
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