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2020 – today
- 2024
[i5]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:
FAIR Universe HiggsML Uncertainty Challenge Competition. CoRR abs/2410.02867 (2024)- 2022
- [c11]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: 404-413 - [c10]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 - [c9]Nicholas Tyler, Robert A. Knop Jr., Deborah Bard, Peter Nugent:
Cross-Facility Workflows: Case Studies with Active Experiments. WORKS@SC 2022: 68-75 - 2021
- [j4]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:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j3]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): 1641-1652 (2021) - [c8]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: 322-331 - [i4]Yulun Wu, Nicholas Choma, Andrew Deru 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 abs/2106.02190 (2021) - 2020
- [c7]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: 619-628 - [i3]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 abs/2007.12856 (2020)
2010 – 2019
- 2018
- [j2]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): 337-349 (2018) - [c6]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent:
Distributed caching for processing raw arrays. SSDBM 2018: 22:1-22:12 - [i2]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent:
Distributed Caching for Complex Querying of Raw Arrays. CoRR abs/1803.06089 (2018) - 2017
- [c5]Jonathan Wang, Wucherl Yoo, Alex Sim, Peter Nugent, Kesheng Wu:
Parallel Variable Selection for Effective Performance Prediction. CCGrid 2017: 208-217 - [c4]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent:
Incremental View Maintenance over Array Data. SIGMOD Conference 2017: 139-154 - 2016
- [j1]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) - 2015
- [c3]Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu:
PATHA: Performance Analysis Tool for HPC Applications. IPCCC 2015: 1-8 - [c2]Peter Nugent, Yi Cao, Mansi M. Kasliwal:
The Palomar transient factory. Visualization and Data Analysis 2015: 939702 - [i1]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 abs/1510.08545 (2015) - 2014
- [c1]Florin Rusu, Peter Nugent, Kesheng Wu:
Implementing the Palomar Transient Factory Real-Time Detection Pipeline in GLADE: Results and Observations. DNIS 2014: 53-66
Coauthor Index
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