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20202023
most citedPerformance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods

2 citations · 6 across the 6 of their papers we have counts for

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Showing 2021Show all

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cs.LG2021★ 2 cited

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

Xingfu Wu, Michael Kruse, Prasanna Balaprakash +4

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 met…