Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale... Journal March, 2020
Estimating Lossy Compressibility of Scientific Data Using Deep Neural Networks... Journal February, 2020
First Experiments New Science Opportunities at the Spallation Neutron Source Second Target Station (abridged)... ORNL Report January, 2020
Visualization System for Evolutionary Neural Networks for Deep Learning... Conference Paper December, 2019
Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations... Conference Paper December, 2019
First Experiments: New Science Opportunities at the Spallation Neutron Source Second Target Station... ORNL Report December, 2019
Fine-Grained Exploitation of Mixed Precision for Faster CNN Training... Conference Paper November, 2019
Fine-Grained Exploitation of Mixed Precision for Faster CNN Training... Conference Paper November, 2019
PAVE: An In Situ Framework for Scientific Visualization and Machine Learning Coupling... Conference Paper November, 2019