J. Travis Johnston

13 papers A 1B 1Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2021 — conf
Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach.
ICONS
Maryam Parsa, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven R. Young, Kaushik Roy
2020 — conf
Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency.
IGSC (Workshops)
Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul
2020 B conf
Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems.
IJCNN
Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton
2019 J jnl
Early experiences on Summit: Data analytics and AI applications.
IBM J. Res. Dev.
David E. Womble, Mallikarjun Shankar, Wayne Joubert, J. Travis Johnston, Jack C. Wells, Jeffrey A. Nichols
2019 — conf
Evolving Energy Efficient Convolutional Neural Networks.
IEEE BigData
Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok
2019 — conf
Exascale Deep Learning to Accelerate Cancer Research.
IEEE BigData
Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou
2019 J jnl
Exascale Deep Learning to Accelerate Cancer Research.
CoRR
Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz
2019 — conf
Visualization System for Evolutionary Neural Networks for Deep Learning.
IEEE BigData
Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok
2018 A conf
167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation.
SC
Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Don D. March, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Thomas P. Karnowski, Maxim A. Ziatdinov, Sergei V. Kalinin
2017 — conf
Evolving Deep Networks Using HPC.
MLHPC@SC
Steven R. Young, Derek C. Rose, J. Travis Johnston, William T. Heller, Thomas P. Karnowski, Thomas E. Potok, Robert M. Patton, Gabriel N. Perdue, Jonathan A. Miller
2017 — conf
Optimizing Convolutional Neural Networks for Cloud Detection.
MLHPC@SC
J. Travis Johnston, Steven R. Young, David Hughes, Robert M. Patton, Devin White
2015 J jnl
Boolean algebras and Lubell functions.
J. Comb. Theory A
J. Travis Johnston, Linyuan Lu, Kevin G. Milans
2014 J jnl
Turán Problems on Non-Uniform Hypergraphs.
Electron. J. Comb.
J. Travis Johnston, Linyuan Lu