research
∙
09/13/2023
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization
Apache TVM (Tensor Virtual Machine), an open source machine learning com...
share
research
∙
03/28/2023
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales
As we enter the exascale computing era, efficiently utilizing power and ...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
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...
research
∙
10/13/2020
Autotuning Search Space for Loop Transformations
One of the challenges for optimizing compilers is to predict whether app...
research
∙
08/14/2020