J. T. Johnston

Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency

Catherine D. Schuman, Steven R. Young, Bryan P. Maldonado, 2020, 2020 11th International Green and Sustainable Computing Workshops (IGSC).

Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems

Catherine D. Schuman, Prasanna Date, Robert M. Patton, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Evolving Energy Efficient Convolutional Neural Networks

Catherine D. Schuman, Steven R. Young, Thomas E. Potok, 2019, 2019 IEEE International Conference on Big Data (Big Data).

167-PFlops Deep Learning for Electron Microscopy: From Learning Physics to Atomic Manipulation

Catherine D. Schuman, Steven R. Young, Thomas P. Karnowski, 2018, SC18: International Conference for High Performance Computing, Networking, Storage and Analysis.

Optimizing Convolutional Neural Networks for Cloud Detection

Steven R. Young, David Hughes, Robert M. Patton, 2017, MLHPC@SC.

Visualization System for Evolutionary Neural Networks for Deep Learning

Catherine D. Schuman, Steven R. Young, Thomas E. Potok, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Exascale Deep Learning to Accelerate Cancer Research

Catherine D. Schuman, Steven R. Young, Derek C. Rose, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach

Catherine D. Schuman, Steven R. Young, Kaushik Roy, 2021, ICONS.

Evolving Deep Networks Using HPC

Steven R. Young, Thomas P. Karnowski, Derek C. Rose, 2017, MLHPC@SC.

Fine-Grained Exploitation of Mixed Precision for Faster CNN Training

Catherine D. Schuman, Steven R. Young, Thomas E. Potok, 2019, 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC).