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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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10/03/2022
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization
Distributed data storage services tailored to specific applications have...
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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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09/29/2020
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples
Most recent machine learning research focuses on developing new classifi...
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08/08/2019
Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics
Efficient network slicing is vital to deal with the highly variable and ...
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09/25/2018
Combined convolutional and recurrent neural networks for hierarchical classification of images
Deep learning models based on CNNs are predominantly used in image class...
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04/25/2018
