Ryan Chard

117 papers A 8B 13C 3Misc 1Journal 53Unranked 38
YearRankTypeTitle / Venue / Authors
2026 J jnl
Flight: A FaaS-based framework for complex and Hierarchical Federated Learning.
Future Gener. Comput. Syst.
Nathaniel Hudson, Valérie Hayot-Sasson, Yadu Nand Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard
2025 — conf
Accelerating Advanced Light Source Science Through Multi-Facility HPC Workflows.
SC Workshops
David Abramov, Samuel S. Welborn, Ryan Chard, Kuldeep Chawla, Xiaoya Chong, Elizabeth Clark, Bjoern Enders, Alexander Hexemer, Jason Jed, Wiebke Koepp, Harinarayan Krishnan, Seij De Leon, Dilworth Parkinson, David Perlmutter, Raja Vyshnavi Sriramoju, Thomas D. Uram, Lee Lisheng Yang, Dylan McReynolds
2025 J jnl
Employing artificial intelligence to steer exascale workflows with colmena.
Int. J. High Perform. Comput. Appl.
Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster
2025 J jnl
Empowering Scientific Workflows with Federated Agents.
CoRR
J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Mansi Sakarvadia, Kyle Chard, Ian T. Foster
2025 J jnl
Experiences with Model Context Protocol Servers for Science and High Performance Computing.
CoRR
Haochen Pan, Ryan Chard, Reid Mello, Christopher Grams, Tanjin He, Alexander Brace, Owen Price Skelly, Will Engler, Hayden Holbrook, Song Young Oh, Maxime Gonthier, Michael E. Papka, Ben Blaiszik, Kyle Chard, Ian T. Foster
2025 — conf
FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Access.
SC Workshops
Aditya Tanikanti, Benoît Côté, Yanfei Guo, Le Chen, Nicholaus Saint, Ryan Chard, Ken Raffenetti, Rajeev Thakur, Thomas D. Uram, Ian T. Foster, Michael E. Papka, Venkatram Vishwanath
2025 J jnl
FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Access.
CoRR
Aditya Tanikanti, Benoît Côté, Yanfei Guo, Le Chen, Nicholaus Saint, Ryan Chard, Ken Raffenetti, Rajeev Thakur, Thomas D. Uram, Ian T. Foster, Michael E. Papka, Venkatram Vishwanath
2025 J jnl
WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks.
CoRR
Sicheng Zhou, Zhuozhao Li, Valérie Hayot-Sasson, Haochen Pan, Maxime Gonthier, J. Gregory Pauloski, Ryan Chard, Kyle Chard, Ian T. Foster
2024 B conf
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions.
e-Science
André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard
2024 — conf
An End-to-End Programming Model for AI Engine Architectures.
HEART
Maksim Levental, Arham Khan, Ryan Chard, Kyle Chard, Stephen Neuendorffer, Ian T. Foster
2024 — conf
BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science.
HEART
Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster
2024 B conf
Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows.
e-Science
Bogdan Nicolae, Justin M. Wozniak, Tekin Bicer, Hai Nguyen, Parth Patel, Haochen Pan, Amal Gueroudji, Maxime Gonthier, Valérie Hayot-Sasson, Eliu A. Huerta, Kyle Chard, Ryan Chard, Matthieu Dorier, Nageswara S. V. Rao, Anees Al-Najjar, Alessandra Corsi, Ian T. Foster
2024 J jnl
Employing Artificial Intelligence to Steer Exascale Workflows with Colmena.
CoRR
Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster
2024 — conf
Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints.
PEARC
Rachana Ananthakrishnan, Yadu N. Babuji, Matt Baughman, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Daniel S. Katz, Kevin Hunter Kesling, Chris Janidlo, Reid Mello, Lei Wang
2024 — conf
Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute.
SC Workshops
Rachana Ananthakrishnan, Yadu N. Babuji, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Lev Gorenstein, Kevin Hunter Kesling, Chris Janidlo, Daniel S. Katz, Reid Mello, J. Gregory Pauloski, Lei Wang
2024 J jnl
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning.
CoRR
Nathaniel Hudson, Valérie Hayot-Sasson, Yadu N. Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard
2024 B conf
Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning.
IEEE Big Data
Weijian Zheng, Hemant Sharma, Ryan Chard, Peter Kenesei, Jun-Sang Park, Nicholas Schwarz, Antonino Miceli, Ian T. Foster, Rajkumar Kettimuthu
2024 — conf
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing.
SC Workshops
Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster
2024 J jnl
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing.
CoRR
Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster
2024 — conf
Parsl+CWL: Towards Combining the Python and CWL Ecosystems.
SC Workshops
Nishchay Karle, Ben Clifford, Yadu N. Babuji, Ryan Chard, Daniel S. Katz, Kyle Chard
2024 J jnl
Parsl+CWL: Towards Combining the Python and CWL Ecosystems.
CoRR
Nishchay Karle, Ben Clifford, Yadu N. Babuji, Ryan Chard, Daniel S. Katz, Kyle Chard
2024 J jnl
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments.
CoRR
Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster
2024 J jnl
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud.
Future Gener. Comput. Syst.
André Bauer, Haochen Pan, Ryan Chard, Yadu N. Babuji, Josh Bryan, Devesh Tiwari, Ian T. Foster, Kyle Chard
2024 J jnl
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
CoRR
Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster
2024 A conf
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving.
IPDPS
Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li
2024 J jnl
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving.
CoRR
Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li
2024 — conf
Zero Code and Infrastructure Research Data Portals.
PEARC
Joe Bottigliero, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster
2023 J jnl
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources.
CoRR
Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara
2023 — conf
AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources.
High Performance Computing for Imaging
Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara
2023 B conf
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service.
e-Science
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
2023 J jnl
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service.
CoRR
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
2023 — conf
Active Research Data Management with the Django Globus Portal Framework.
PEARC
Nickolaus D. Saint, Ryan Chard, Rafael Vescovi, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Michael E. Papka, Rick Wagner, Kyle Chard, Ian T. Foster
2023 — conf
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.
IPDPS Workshops
Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster
2023 J jnl
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.
CoRR
Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster
2023 — conf
Demonstrating Cross-Facility Data Processing at Scale With Laue Microdiffraction.
SC Workshops
Michael H. Prince, Doga Gürsoy, Dina Sheyfer, Ryan Chard, Benoît Côté, Hannah Parraga, Barbara Frosik, Jonathan Z. Tischler, Nicholas Schwarz
2023 — conf
Empowering Scientific Discovery Through Computing at the Advanced Photon Source.
SC Workshops
Hannah Parraga, John Hammonds, Steven Henke, Sinisa Veseli, William E. Allcock, Benoît Côté, Ryan Chard, Suresh Narayanan, Nicholas Schwarz
2023 J jnl
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx.
CoRR
Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, Eliu A. Huerta, Maryellen L. Giger
2023 — conf
Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research Infrastructure.
PEARC
Rachana Ananthakrishnan, Josh Bryan, Kyle Chard, Ryan Chard, Kurt McKee, Ada Nikolaidis, Jim Pruyne, Stephen Rosen, Ian T. Foster
2023 J jnl
Globus automation services: Research process automation across the space-time continuum.
Future Gener. Comput. Syst.
Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster
2023 — conf
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers.
SC Workshops
Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster
2023 J jnl
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers.
CoRR
Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster
2023 J jnl
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications.
IEEE Instrum. Meas. Mag.
Melanie Po-Leen Ooi, Shaleeza Sohail, Victoria Guiying Huang, Nathaniel Hudson, Matt Baughman, Omer F. Rana, Annika Hinze, Kyle Chard, Ryan Chard, Ian T. Foster, Theodoros Spyridopoulos, Harshaan Nagra
2023 J jnl
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science.
CoRR
Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster
2023 A conf
ProPack: Executing Concurrent Serverless Functions Faster and Cheaper.
HPDC
Rohan Basu Roy, Tirthak Patel, Richmond Liew, Yadu Nand Babuji, Ryan Chard, Devesh Tiwari
2023 J jnl
Rural AI: Serverless-Powered Federated Learning for Remote Applications.
IEEE Internet Comput.
Panos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster
2023 — conf
Tournament-Based Pretraining to Accelerate Federated Learning.
SC Workshops
Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard
2023 C conf
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
BDCAT
Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster
2023 J jnl
nelli: a lightweight frontend for MLIR.
CoRR
Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster
2022 J jnl
$f$funcX: Federated Function as a Service for Science.
IEEE Trans. Parallel Distributed Syst.
Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard
2022 — conf
Adaptive Edge-Cloud Environments for Rural AI.
SCC
Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster
2022 — conf
Assessing the Current State of AWS Spot Market Forecastability.
SuperCompCloud
Simon Caton, Matt Baughman, Christian Haas, Ryan Chard, Ian T. Foster, Kyle Chard
2022 J jnl
Deep learning at the edge enables real-time streaming ptychographic imaging.
CoRR
Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, Yudong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara
2022 J jnl
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy.
CoRR
Nikil Ravi, Pranshu Chaturvedi, Eliu A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster
2022 B conf
FLoX: Federated Learning with FaaS at the Edge.
e-Science
Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer F. Rana, Ian T. Foster, Kyle Chard
2022 J jnl
Globus Automation Services: Research process automation across the space-time continuum.
CoRR
Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster
2022 J jnl
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.
J. Chem. Inf. Model.
Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens
2022 J jnl
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.
CoRR
Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
2022 J jnl
Linking scientific instruments and computation: Patterns, technologies, and experiences.
Patterns
Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
2022 J jnl
Real-Time Streaming and Event-driven Control of Scientific Experiments.
CoRR
Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian T. Foster, Santanu Chaudhuri
2022 — conf
Ultrafast Focus Detection for Automated Microscopy.
ICCS (1)
Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg
2022 J jnl
funcX: Federated Function as a Service for Science.
CoRR
Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard
2021 A conf
A Serverless Framework for Distributed Bulk Metadata Extraction.
HPDC
Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster
2021 B conf
Braid-DB: Toward AI-Driven Science with Machine Learning Provenance.
SMC
Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster
2021 J jnl
Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl.
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 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
2021 — conf
Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments.
IPDPS Workshops
Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard
2021 — conf
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing.
MLHPC@SC
Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster
2021 J jnl
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing.
CoRR
Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster
2021 J jnl
DLHub: Simplifying publication, discovery, and use of machine learning models in science.
J. Parallel Distributed Comput.
Zhuozhao Li, Ryan Chard, Logan T. Ward, Kyle Chard, Tyler J. Skluzacek, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster
2021 B conf
Federated Function as a Service for eScience.
e-Science
Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li
2021 B conf
High-Performance Ptychographic Reconstruction with Federated Facilities.
SMC
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
2021 J jnl
High-Performance Ptychographic Reconstruction with Federated Facilities.
CoRR
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
2021 B conf
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads.
ICPP
Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin
2021 B conf
Ultrafast Focus Detection for Automated Microscopy.
e-Science
Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg
2021 J jnl
Ultrafast Focus Detection for Automated Microscopy.
CoRR
Maksim Levental, Ryan Chard, Gregg A. Wildenberg
2020 J jnl
Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection.
CoRR
Eliu A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr V. Kindratenko, Dawei Mu, Ben Blaiszik, Ian T. Foster
2020 J jnl
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads.
CoRR
Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Thomas S. Brettin, Kyle Chard, Ryan Chard, Peter V. Coveney, Anda Trifan, Alex Brace, Austin Clyde, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Thorsten Kurth, Dieter Kranzlmüller, Hyungro Lee, Zhuozhao Li, Heng Ma, André Merzky, Gerald Mathias, Alexander Partin, Junqi Yin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling
2020 — conf
OAuth SSH with Globus Auth.
PEARC
Jason Alt, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster, Lee Liming, Steven Tuecke
2020 J jnl
Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release.
CoRR
Yadu N. Babuji, Ben Blaiszik, Tom Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Ian T. Foster, Zhi Hong, Shantenu Jha, Zhuozhao Li, Xuefeng Liu, Arvind Ramanathan, Yi Ren, Nicholaus Saint, Marcus Schwarting, Rick Stevens, Hubertus Van Dam, Rick Wagner
2020 — conf
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT.
WF-IoT
Jakob R. Elias, Ryan Chard, Joseph A. Libera, Ian T. Foster, Santanu Chaudhuri
2020 J jnl
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT.
CoRR
Jakob R. Elias, Ryan Chard, Joseph A. Libera, Ian T. Foster, Santanu Chaudhuri
2020 — conf
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis.
XLOOP@SC
Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard, Aarthi Koripelly, Jakob R. Elias, Marcus Schwarting, Ben Blaiszik, Marius Stan, Santanu Chaudhuri, Ian T. Foster
2020 J jnl
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis.
CoRR
Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard, Aarthi Koripelly, Jakob R. Elias, Marcus Schwarting, Ben Blaiszik, Marius Stan, Santanu Chaudhuri, Ian T. Foster
2020 A conf
funcX: A Federated Function Serving Fabric for Science.
HPDC
Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard
2020 J jnl
funcX: A Federated Function Serving Fabric for Science.
CoRR
Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard
2019 A conf
DLHub: Model and Data Serving for Science.
IPDPS
Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster
2019 — conf
Deconstructing the 2017 Changes to AWS Spot Market Pricing.
ScienceCloud@HPDC
Matt Baughman, Simon Caton, Christian Haas, Ryan Chard, Rich Wolski, Ian T. Foster, Kyle Chard
2019 C conf
FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems.
CLUSTER
Arnab Kumar Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali Raza Butt, Ian T. Foster
2019 C conf
ParaOpt: Automated Application Parameterization and Optimization for the Cloud.
CloudCom
Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt
2019 A conf
Parsl: Pervasive Parallel Programming in Python.
HPDC
Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard
2019 J jnl
Parsl: Pervasive Parallel Programming in Python.
CoRR
Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard
2019 — conf
Petrel: A Programmatically Accessible Research Data Service.
PEARC
William E. Allcock, Benjamin S. Allen, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Ian T. Foster, Lukasz Lacinski, Michael E. Papka, Rick Wagner
2019 — conf
Publishing and Serving Machine Learning Models with DLHub.
PEARC
Ryan Chard, Logan T. Ward, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Kyle Chard, Ben Blaiszik, Ian T. Foster
2019 J jnl
Serverless Supercomputing: High Performance Function as a Service for Science.
CoRR
Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard
2019 — conf
Serverless Workflows for Indexing Large Scientific Data.
WOSC@Middleware
Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster
2018 J jnl
DLHub: Model and Data Serving for Science.
CoRR
Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster
2018 — conf
Globus Platform Services for Data Publication.
PEARC
Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Brendan McCollam, Jim Pruyne, Stephen Rosen, Steven Tuecke, Ian T. Foster
2018 — conf
High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation.
AI-Science@HPDC
Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steven Tuecke, Narayanan Kasthuri, Ian T. Foster
2018 Misc conf
Profiling and Predicting Application Performance on the Cloud.
UCC
Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard, Ian T. Foster
2018 J jnl
Scalable pCT Image Reconstruction Delivered as a Cloud Service.
IEEE Trans. Cloud Comput.
Ryan Chard, Ravi K. Madduri, Nicholas T. Karonis, Kyle Chard, Kirk L. Duffin, Caesar E. Ordoñez, Thomas D. Uram, Justin Fleischauer, Ian T. Foster, Michael E. Papka, John Winans
2018 — conf
Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data.
eScience
Tyler J. Skluzacek, Rohan Kumar, Ryan Chard, Galen Harrison, Paul G. Beckman, Kyle Chard, Ian T. Foster
2017 J jnl
Cost-Aware Cloud Profiling, Prediction, and Provisioning as a Service.
IEEE Cloud Comput.
Ryan Chard, Kyle Chard, Rich Wolski, Ravi K. Madduri, Bryan C. K. Ng, Kris Bubendorfer, Ian T. Foster
2017 A conf
Probabilistic guarantees of execution duration for Amazon spot instances.
SC
Rich Wolski, John Brevik, Ryan Chard, Kyle Chard
2017 — conf
Ripple: Home Automation for Research Data Management.
ICDCS Workshops
Ryan Chard, Kyle Chard, Jason Alt, Dilworth Y. Parkinson, Steven Tuecke, Ian T. Foster
2017 — conf
Software Defined Cyberinfrastructure for Data Management.
eScience
Ryan Chard, Kyle Chard, Steven Tuecke, Ian T. Foster
2017 A conf
Software Defined Cyberinfrastructure.
ICDCS
Ian T. Foster, Ben Blaiszik, Kyle Chard, Ryan Chard
2017 — conf
Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure.
PDSW-DISCS@SC
Arnab Kumar Paul, Steven Tuecke, Ryan Chard, Ali Raza Butt, Kyle Chard, Ian T. Foster
2016 B conf
An Automated Tool Profiling Service for the Cloud.
CCGrid
Ryan Chard, Kyle Chard, Bryan C. K. Ng, Kris Bubendorfer, Alex A. Rodriguez, Ravi K. Madduri, Ian T. Foster
2016 — —
Improving the Performance of Cloud-based Scientific Services.
Ryan Chard
2016 J jnl
Network health and e-Science in commercial clouds.
Future Gener. Comput. Syst.
Ryan Chard, Kris Bubendorfer, Bryan C. K. Ng
2015 B conf
Cost-Aware Cloud Provisioning.
e-Science
Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri, Ian T. Foster
2015 B conf
Cost-Aware Elastic Cloud Provisioning for Scientific Workloads.
CLOUD
Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri, Ian T. Foster
2015 J jnl
PDACS: A Portal for Data Analysis Services for Cosmological Simulations.
Comput. Sci. Eng.
Ravi K. Madduri, Alex A. Rodriguez, Thomas D. Uram, Katrin Heitmann, Tanu Malik, Saba Sehrish, Ryan Chard, Shreyas Cholia, Marc F. Paterno, Jim Kowalkowski, Salman Habib
2015 J jnl
Reputation systems: A survey and taxonomy.
J. Parallel Distributed Comput.
Ferry Hendrikx, Kris Bubendorfer, Ryan Chard
2015 J jnl
The Globus Galaxies platform: delivering science gateways as a service.
Concurr. Comput. Pract. Exp.
Ravi K. Madduri, Kyle Chard, Ryan Chard, Lukasz Lacinski, Alex A. Rodriguez, Dinanath Sulakhe, David Kelly, Utpal J. Dave, Ian T. Foster
2014 — conf
Network Health and e-Science in Public Clouds.
eScience
Ryan Chard, Kris Bubendorfer, Bryan C. K. Ng
2014 — conf
PDACS: a portal for data analysis services for cosmological simulations.
GCE@SC
Ryan Chard, Saba Sehrish, Alex A. Rodriguez, Ravi K. Madduri, Thomas D. Uram, Marc F. Paterno, Katrin Heitmann, Shreyas Cholia, Jim Kowalkowski, Salman Habib
2012 — conf
Experiences in the design and implementation of a Social Cloud for Volunteer Computing.
eScience
Ryan Chard, Kris Bubendorfer, Kyle Chard