Peter Nugent

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 15

Top Topics

Neural Network Training

Chemical Compounds

Top Venues

Publications

Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica Teixeira Prates, Verónica G. Melesse Vergara, Manesh Shah, Austin Clyde, Thomas S. Brettin, Wibe Albert de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery. ICLR (2022)
Nicholas Tyler, Robert A. Knop Jr., Deborah Bard, Peter Nugent
Cross-Facility Workflows: Case Studies with Active Experiments. WORKS@SC (2022)
Kewei Wang, Sunwoo Lee, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-Keng Liao
Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. CCGRID (2022)
Sunwoo Lee, Qiao Kang, Kewei Wang, Jan Balewski, Alex Sim, Ankit Agrawal, Alok N. Choudhary, Peter Nugent, Kesheng Wu, Wei-keng Liao
Asynchronous I/O Strategy for Large-Scale Deep Learning Applications. HiPC (2021)
Yulun Wu, Nicholas Choma, Andrew Chen, Mikaela Cashman, Érica T. Prates, Manesh Shah, Verónica G. Melesse Vergara, Austin Clyde, Thomas S. Brettin, Wibe A. de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery. CoRR (2021)
Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Erin McCarthy, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Peter Nugent, Brian Van Essen
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs With Hybrid Parallelism. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishniah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Erin McCarthy, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Peter Nugent, Brian Van Essen
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism. CoRR (2020)
Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu
Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow. CCGRID (2020)
Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent
Distributed Caching for Complex Querying of Raw Arrays. CoRR (2018)
Weijie Zhao, Florin Rusu, Kesheng Wu, Peter Nugent
Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE. Int. J. Comput. Sci. Eng. 16 (4) (2018)
Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent
Distributed caching for processing raw arrays. SSDBM (2018)
Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent
Incremental View Maintenance over Array Data. SIGMOD Conference (2017)
Jonathan Wang, Wucherl Yoo, Alex Sim, Peter Nugent, Kesheng Wu
Parallel Variable Selection for Effective Performance Prediction. CCGrid (2017)
David I. Bevan, Derek Levin, Peter Nugent, Jay Pantone, Lara Pudwell, Manda Riehl, M. L. Tlachac
Pattern avoidance in forests of binary shrubs. Discret. Math. Theor. Comput. Sci. 18 (2) (2016)
Peter Nugent, Yi Cao, Mansi Kasliwal
The Palomar transient factory. Visualization and Data Analysis (2015)
Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu
PATHA: Performance Analysis Tool for HPC Applications. IPCCC (2015)
Salman Habib, Robert Roser, Tom LeCompte, Zach Marshall, Anders Borgland, Brett Viren, Peter Nugent, Makoto Asai, Lothar Bauerdick, Hal Finkel, Steven Gottlieb, Stefan Hoeche, Paul Sheldon, Jean-Luc Vay, Peter Elmer, Michael Kirby, Simon J. Patton, Maxim Potekhin, Brian Yanny, Paolo Calafiura, Eli Dart, Oliver Gutsche, Taku Izubuchi, Adam Lyon, Don Petravick
High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems). CoRR (2015)
Florin Rusu, Peter Nugent, Kesheng Wu
Implementing the Palomar Transient Factory Real-Time Detection Pipeline in GLADE: Results and Observations. DNIS (2014)