Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version)

In this paper, 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 benchmar...

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Hauptverfasser:	Wu, Xingfu, Kruse, Michael, Balaprakash, Prasanna, Finkel, Hal, Hovland, Paul, Taylor, Valerie, Hall, Mary
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Performance
Online-Zugang:	Volltext bestellen
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