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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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cs.PF2020

Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization

Xingfu Wu, Michael Kruse, Prasanna Balaprakash +4

An autotuning is an approach that explores a search space of possible implementations/configurations of a kernel or an application by selecting and evaluating a subset of implement…

cs.PF2020

Toward an End-to-End Auto-tuning Framework in HPC PowerStack

Xingfu Wu, Aniruddha Marathe, Siddhartha Jana +7

Efficiently utilizing procured power and optimizing performance of scientific applications under power and energy constraints are challenging. The HPC PowerStack defines a software…