Ryan N. Coffee

According to our database, Ryan N. Coffee authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

The LCLStream Ecosystem for Multi-Institutional Dataset Exploration.

David M. Rogers, Valerio Mariani, Cong Wang, Ryan N. Coffee, Wilko Kroeger, Murali Shankar, Hans Thorsten Schwander, Thomas L. Beck, Frédéric Poitevin, Jana Thayer

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026

2025

A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery.

Rafael Ferreira da Silva, Milad Abolhasani, Dionysios A. Antonopoulos, Laura Biven, Ryan N. Coffee, Ian T. Foster, Leslie Hamilton, Shantenu Jha, Theresa Mayer, Benjamin Mintz, Robert G. Moore, Salahudin Nimer, Noah Paulson, Woong Shin, Frédéric Suter, Mitra Taheri, Michela Taufer, Newell R. Washburn

Proceedings of the Workshop Proceedings of the 54th International Conference on Parallel Processing, 2025

2024

Coincidence anomaly detection for unsupervised locating of edge localized modes in the DIII-D tokamak dataset.

Finn H. O'Shea, Semin Joung, David R. Smith, Daniel Ratner, Ryan N. Coffee

Mach. Learn. Sci. Technol., 2024

Real-time confinement regime detection in fusion plasmas with convolutional neural networks and high-bandwidth edge fluctuation measurements.

Kevin Gill, David R. Smith, Semin Joung, Benedikt Geiger, George McKee, J. Zimmerman, Ryan N. Coffee, Azarakhsh Jalalvand, Egemen Kolemen

Mach. Learn. Sci. Technol., 2024

2022

At-the-Edge Data Processing for Low Latency High Throughput Machine Learning Algorithms.

Jack Hirschman, Andrei Kamalov, Razib Obaid, Finn H. O'Shea, Ryan N. Coffee

Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022

Implementation of a Framework for Deploying AI Inference Engines in FPGAs.

Ryan Herbst, Ryan N. Coffee, Nathan Fronk, Kukhee Kim, Kuktae Kim, Larry Ruckman, J. J. Russell

Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022

fairDMS: Rapid Model Training by Data and Model Reuse.

Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

An approach to characterizing spatial aspects of image system blur.

Jesse Adams, Jessica Pillow, Kevin Joyce, Michael Brennan, Malena I. Español, Matthias Morzfeld, Sean Breckling, Daniel Champion, Eric Clarkson, Ryan N. Coffee, Amanda Gehring, Margaret Lund, Duane Smalley, Ajanae Williams, Jacob Zier, Daniel Frayer, Marylesa Howard, Eric Machorro

Stat. Anal. Data Min., 2021

Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval.

Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian T. Foster

CoRR, 2021

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval.

Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian T. Foster

Proceedings of the 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2021