Peter Nugent

According to our database, Peter Nugent authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

FAIR Universe HiggsML Uncertainty Challenge Competition.

Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Steven Farrell, Aishik Ghosh, Isabelle Guyon, Chris Harris, Shih-Chieh Hsu, Elham E Khoda, Rémy Lyscar, Alexandre Michon, Benjamin Nachman, Peter Nugent, Mathis Reymond, David Rousseau, Benjamin Sluijter, Benjamin Thorne, Ihsan Ullah, Yulei Zhang

CoRR, 2024

2022

Cross-Facility Workflows: Case Studies with Active Experiments.

Nicholas Tyler, Robert A. Knop Jr., Deborah Bard, Peter Nugent

Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications.

Kewei Wang, Sunwoo Lee, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-Keng Liao

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs With Hybrid Parallelism.

Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Erin McCarthy, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Peter Nugent, Brian Van Essen

IEEE Trans. Parallel Distributed Syst., 2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).

Francis J. Alexander, James A. 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 Ramakrishnaiah, 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

Int. J. High Perform. Comput. Appl., 2021

Asynchronous I/O Strategy for Large-Scale Deep Learning Applications.

Sunwoo Lee, Qiao Kang, Kewei Wang, Jan Balewski, Alex Sim, Ankit Agrawal, Alok N. Choudhary, Peter Nugent, Kesheng Wu, Wei-keng Liao

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020

Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow.

Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2018

Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE.

Weijie Zhao, Florin Rusu, Kesheng Wu, Peter Nugent

Int. J. Comput. Sci. Eng., 2018

Distributed Caching for Complex Querying of Raw Arrays.

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent

CoRR, 2018

Distributed caching for processing raw arrays.

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

2017

Incremental View Maintenance over Array Data.

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Parallel Variable Selection for Effective Performance Prediction.

Jonathan Wang, Wucherl Yoo, Alex Sim, Peter Nugent, Kesheng Wu

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016

Pattern avoidance in forests of binary shrubs.

David I. Bevan, Derek Levin, Peter Nugent, Jay Pantone, Lara Pudwell, Manda Riehl, M. L. Tlachac

Discret. Math. Theor. Comput. Sci., 2016

2015

High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems).

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

CoRR, 2015

The Palomar transient factory.

Peter Nugent, Yi Cao, Mansi M. Kasliwal

Proceedings of the Visualization and Data Analysis 2015, 2015

PATHA: Performance Analysis Tool for HPC Applications.

Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu

Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

2014

Implementing the Palomar Transient Factory Real-Time Detection Pipeline in GLADE: Results and Observations.

Florin Rusu, Peter Nugent, Kesheng Wu

Proceedings of the Databases in Networked Information Systems - 9th International Workshop, 2014