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09/13/2023
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization
Apache TVM (Tensor Virtual Machine), an open source machine learning com...
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03/28/2023
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales
As we enter the exascale computing era, efficiently utilizing power and ...
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05/10/2021
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations
Polly is the LLVM project's polyhedral loop nest optimizer. Recently, us...
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04/27/2021
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 Ba...
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11/12/2020
Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods
In this paper, we use modeling and prediction tool MuMMI (Multiple Metri...
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11/12/2020
Utilizing Ensemble Learning for Performance and Power Modeling and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks
Machine learning (ML) continues to grow in importance across nearly all ...
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10/15/2020
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization
An autotuning is an approach that explores a search space of possible im...
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10/13/2020
Autotuning Search Space for Loop Transformations
One of the challenges for optimizing compilers is to predict whether app...
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08/14/2020
