Experiences in the design and implementation of a Social Cloud for Volunteer Computing. - Ryan Chard; Kris Bubendorfer; Kyle Chard (eScience, 2012)

Network Health and e-Science in Public Clouds. - Ryan Chard; Kris Bubendorfer; Bryan C. K. Ng (eScience, 2014)

PDACS: a portal for data analysis services for cosmological simulations. - Ryan Chard; Saba Sehrish; Alex A. Rodriguez; Ravi K. Madduri; Thomas D. Uram; Marc F. Paterno; Katrin Heitmann; Shreyas Cholia; Jim Kowalkowski; Salman Habib 002 (GCE@SC, 2014)

Cost-Aware Elastic Cloud Provisioning for Scientific Workloads. - Ryan Chard; Kyle Chard; Kris Bubendorfer; Lukasz Lacinski; Ravi K. Madduri; Ian T. Foster (CLOUD, 2015)

Cost-Aware Cloud Provisioning. - Ryan Chard; Kyle Chard; Kris Bubendorfer; Lukasz Lacinski; Ravi K. Madduri; Ian T. Foster (e-Science, 2015)

The Globus Galaxies platform: delivering science gateways as a service. - Ravi K. Madduri; Kyle Chard; Ryan Chard; Lukasz Lacinski; Alex A. Rodriguez; Dinanath Sulakhe; David Kelly; Utpal J. Dave; Ian T. Foster (Concurr. Comput. Pract. Exp., 2015)

PDACS: A Portal for Data Analysis Services for Cosmological Simulations. - 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 002 (Comput. Sci. Eng., 2015)

Reputation systems: A survey and taxonomy. - Ferry Hendrikx; Kris Bubendorfer; Ryan Chard (J. Parallel Distributed Comput., 2015)

An Automated Tool Profiling Service for the Cloud. - Ryan Chard; Kyle Chard; Bryan C. K. Ng; Kris Bubendorfer; Alex A. Rodriguez; Ravi K. Madduri; Ian T. Foster (CCGrid, 2016)

Network health and e-Science in commercial clouds. - Ryan Chard; Kris Bubendorfer; Bryan C. K. Ng (Future Gener. Comput. Syst., 2016)

Improving the Performance of Cloud-based Scientific Services. - Ryan Chard (2016)

Software Defined Cyberinfrastructure for Data Management. - Ryan Chard; Kyle Chard; Steven Tuecke; Ian T. Foster (eScience, 2017)

Software Defined Cyberinfrastructure. - Ian T. Foster; Ben Blaiszik; Kyle Chard; Ryan Chard (ICDCS, 2017)

Ripple: Home Automation for Research Data Management. - Ryan Chard; Kyle Chard; Jason Alt; Dilworth Y. Parkinson; Steven Tuecke; Ian T. Foster (ICDCS Workshops, 2017)

Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure. - Arnab Kumar Paul; Steven Tuecke; Ryan Chard; Ali Raza Butt; Kyle Chard; Ian T. Foster (PDSW-DISCS@SC, 2017)

Probabilistic guarantees of execution duration for Amazon spot instances. - Rich Wolski; John Brevik; Ryan Chard; Kyle Chard (SC, 2017)

Cost-Aware Cloud Profiling, Prediction, and Provisioning as a Service. - Ryan Chard; Kyle Chard; Rich Wolski; Ravi K. Madduri; Bryan C. K. Ng; Kris Bubendorfer; Ian T. Foster (IEEE Cloud Comput., 2017)

Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data. - Tyler J. Skluzacek; Rohan Kumar; Ryan Chard; Galen Harrison; Paul G. Beckman; Kyle Chard; Ian T. Foster (eScience, 2018)

High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. - Ryan Chard; Rafael Vescovi; Ming Du; Hanyu Li; Kyle Chard; Steven Tuecke; Narayanan Kasthuri; Ian T. Foster (AI-Science@HPDC, 2018)

Profiling and Predicting Application Performance on the Cloud. - Matt Baughman; Ryan Chard; Logan T. Ward; Jason Pitt; Kyle Chard; Ian T. Foster (UCC, 2018)

Globus Platform Services for Data Publication. - Rachana Ananthakrishnan; Ben Blaiszik; Kyle Chard; Ryan Chard; Brendan McCollam; Jim Pruyne; Stephen Rosen; Steven Tuecke; Ian T. Foster (PEARC, 2018)

Scalable pCT Image Reconstruction Delivered as a Cloud Service. - 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 (IEEE Trans. Cloud Comput., 2018)

ParaOpt: Automated Application Parameterization and Optimization for the Cloud. - Chaofeng Wu; Ian T. Foster; Ted Summer; Zhuozhao Li; Anna Woodard; Ryan Chard; Matt Baughman; Yadu N. Babuji; Kyle Chard; Jason Pitt (CloudCom, 2019)

FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems. - Arnab Kumar Paul; Ryan Chard; Kyle Chard; Steven Tuecke; Ali Raza Butt; Ian T. Foster (CLUSTER, 2019)

Parsl: Pervasive Parallel Programming in Python. - 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 (HPDC, 2019)

Deconstructing the 2017 Changes to AWS Spot Market Pricing. - Matt Baughman; Simon Caton; Christian Haas 003; Ryan Chard; Rich Wolski; Ian T. Foster; Kyle Chard (ScienceCloud@HPDC, 2019)

DLHub: Model and Data Serving for Science. - Ryan Chard; Zhuozhao Li; Kyle Chard; Logan T. Ward; Yadu N. Babuji; Anna Woodard; Steven Tuecke; Ben Blaiszik; Michael J. Franklin; Ian T. Foster (IPDPS, 2019)

Serverless Workflows for Indexing Large Scientific Data. - Tyler J. Skluzacek; Ryan Chard; Ryan Wong 002; Zhuozhao Li; Yadu N. Babuji; Logan T. Ward; Ben Blaiszik; Kyle Chard; Ian T. Foster (WOSC@Middleware, 2019)

Petrel: A Programmatically Accessible Research Data Service. - William E. Allcock; Benjamin S. Allen; Rachana Ananthakrishnan; Ben Blaiszik; Kyle Chard; Ryan Chard; Ian T. Foster; Lukasz Lacinski; Michael E. Papka; Rick Wagner (PEARC, 2019)

Publishing and Serving Machine Learning Models with DLHub. - Ryan Chard; Logan T. Ward; Zhuozhao Li; Yadu N. Babuji; Anna Woodard; Steven Tuecke; Kyle Chard; Ben Blaiszik; Ian T. Foster (PEARC, 2019)

Serverless Supercomputing: High Performance Function as a Service for Science. - Ryan Chard; Tyler J. Skluzacek; Zhuozhao Li; Yadu N. Babuji; Anna Woodard; Ben Blaiszik; Steven Tuecke; Ian T. Foster; Kyle Chard (CoRR, 2019)

funcX: A Federated Function Serving Fabric for Science. - Ryan Chard; Yadu N. Babuji; Zhuozhao Li; Tyler J. Skluzacek; Anna Woodard; Ben Blaiszik; Ian T. Foster; Kyle Chard (HPDC, 2020)

Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis. - 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 (XLOOP@SC, 2020)

The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT. - Jakob R. Elias; Ryan Chard; Joseph A. Libera; Ian T. Foster; Santanu Chaudhuri (WF-IoT, 2020)

OAuth SSH with Globus Auth. - Jason Alt; Rachana Ananthakrishnan; Kyle Chard; Ryan Chard; Ian T. Foster; Lee Liming; Steven Tuecke (PEARC, 2020)

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release. - 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; et al. (CoRR, 2020)

Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. - Eliu A. Huerta; Asad Khan; Xiaobo Huang; Minyang Tian; Maksim Levental; Ryan Chard; Wei Wei 021; Maeve Heflin; Daniel S. Katz; Volodymyr V. Kindratenko; Dawei Mu; Ben Blaiszik; et al. (CoRR, 2020)

Federated Function as a Service for eScience. - Yadu N. Babuji; Josh Bryan; Ryan Chard; Kyle Chard; Ian T. Foster; Ben Galewsky; Daniel S. Katz; Zhuozhao Li (e-Science, 2021)

Ultrafast Focus Detection for Automated Microscopy. - Maksim Levental; Ryan Chard; Kyle Chard; Ian T. Foster; Gregg A. Wildenberg (e-Science, 2021)

A Serverless Framework for Distributed Bulk Metadata Extraction. - Tyler J. Skluzacek; Ryan Wong 002; Zhuozhao Li; Ryan Chard; Kyle Chard; Ian T. Foster (HPDC, 2021)

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. - 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; et al. (ICPP, 2021)

Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments. - Rohan Kumar; Matt Baughman; Ryan Chard; Zhuozhao Li; Yadu N. Babuji; Ian T. Foster; Kyle Chard (IPDPS Workshops, 2021)

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. - 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 (MLHPC@SC, 2021)

High-Performance Ptychographic Reconstruction with Federated Facilities. - Tekin Bicer; Xiaodong Yu 001; Daniel J. Ching; Ryan Chard; Mathew J. Cherukara; Bogdan Nicolae; Rajkumar Kettimuthu; Ian T. Foster (SMC, 2021)

Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. - Justin M. Wozniak; Zhengchun Liu; Rafael Vescovi; Ryan Chard; Bogdan Nicolae; Ian T. Foster (SMC, 2021)

Ultrafast Focus Detection for Automated Microscopy. - Maksim Levental; Ryan Chard; Gregg A. Wildenberg (CoRR, 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 001; Sutanay Choudhury; Bert J. Debusschere; Anthony M. DeGennaro; Nikoli Dryden; J. Austin Ellis; et al. (Int. J. High Perform. Comput. Appl., 2021)

DLHub: Simplifying publication, discovery, and use of machine learning models in science. - 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 (J. Parallel Distributed Comput., 2021)

Adaptive Edge-Cloud Environments for Rural AI. - Osama Almurshed; Panos Patros; Victoria Huang 001; Michael Mayo; Melanie Ooi; Ryan Chard; Kyle Chard; Omer F. Rana; Harshaan Nagra; Matt Baughman; Ian T. Foster (SCC, 2022)

FLoX: Federated Learning with FaaS at the Edge. - Nikita Kotsehub; Matt Baughman; Ryan Chard; Nathaniel Hudson; Panos Patros; Omer F. Rana; Ian T. Foster; Kyle Chard (e-Science, 2022)

Assessing the Current State of AWS Spot Market Forecastability. - Simon Caton; Matt Baughman; Christian Haas 003; Ryan Chard; Ian T. Foster; Kyle Chard (SuperCompCloud, 2022)

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. - 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; et al. (CoRR, 2022)

Real-Time Streaming and Event-driven Control of Scientific Experiments. - Jakob R. Elias; Ryan Chard; Maksim Levental; Zhengchun Liu; Ian T. Foster; Santanu Chaudhuri (CoRR, 2022)

FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. - Nikil Ravi; Pranshu Chaturvedi; Eliu A. Huerta; Zhengchun Liu; Ryan Chard; Aristana Scourtas; K. J. Schmidt; Kyle Chard; Ben Blaiszik; Ian T. Foster (CoRR, 2022)

Deep learning at the edge enables real-time streaming ptychographic imaging. - 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; et al. (CoRR, 2022)

funcX: Federated Function as a Service for Science. - 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 (CoRR, 2022)

High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor. - 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; et al. (J. Chem. Inf. Model., 2022)

Linking scientific instruments and computation: Patterns, technologies, and experiences. - 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; et al. (Patterns, 2022)

$f$funcX: Federated Function as a Service for Science. - 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 (IEEE Trans. Parallel Distributed Syst., 2022)

Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. - Nathaniel Hudson; J. Gregory Pauloski; Matt Baughman; Alok Kamatar; Mansi Sakarvadia; Logan T. Ward; Ryan Chard; André Bauer 001; Maksim Levental; Wenyi Wang; Will Engler; Owen Price Skelly; et al. (BDCAT, 2023)

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. - 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 (e-Science, 2023)

AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources. - Anakha V. Babu; Tekin Bicer; Saugat Kandel; Tao Zhou; Daniel J. Ching; Steven Henke; Sinisa Veseli; Ryan Chard; Antonino Miceli; Mathew Joseph Cherukara (High Performance Computing for Imaging, 2023)

ProPack: Executing Concurrent Serverless Functions Faster and Cheaper. - Rohan Basu Roy; Tirthak Patel; Richmond Liew; Yadu Nand Babuji; Ryan Chard; Devesh Tiwari (HPDC, 2023)

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. - 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 (IPDPS Workshops, 2023)

Tournament-Based Pretraining to Accelerate Federated Learning. - Matt Baughman; Nathaniel Hudson; Ryan Chard; André Bauer 001; Ian T. Foster; Kyle Chard (SC Workshops, 2023)

Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers. - Alexander Brace; Rafael Vescovi; Ryan Chard; Nickolaus D. Saint; Arvind Ramanathan; Nestor J. Zaluzec; Ian T. Foster (SC Workshops, 2023)

Empowering Scientific Discovery Through Computing at the Advanced Photon Source. - Hannah Parraga; John Hammonds; Steven Henke; Sinisa Veseli; William E. Allcock; Benoît Côté; Ryan Chard; Suresh Narayanan; Nicholas Schwarz (SC Workshops, 2023)

Demonstrating Cross-Facility Data Processing at Scale With Laue Microdiffraction. - Michael H. Prince; Doga Gürsoy; Dina Sheyfer; Ryan Chard; Benoît Côté; Hannah Parraga; Barbara Frosik; Jonathan Z. Tischler; Nicholas Schwarz (SC Workshops, 2023)

Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research Infrastructure. - Rachana Ananthakrishnan; Josh Bryan; Kyle Chard; Ryan Chard; Kurt McKee; Ada Nikolaidis; Jim Pruyne; Stephen Rosen; Ian T. Foster (PEARC, 2023)

Active Research Data Management with the Django Globus Portal Framework. - Nickolaus D. Saint; Ryan Chard; Rafael Vescovi; Jim Pruyne; Ben Blaiszik; Rachana Ananthakrishnan; Michael E. Papka; Rick Wagner; Kyle Chard; Ian T. Foster (PEARC, 2023)

OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. - Maksim Levental; Arham Khan; Ryan Chard; Kazutomo Yoshii; Kyle Chard; Ian T. Foster (CoRR, 2023)

nelli: a lightweight frontend for MLIR. - Maksim Levental; Alok Kamatar; Ryan Chard; Nicolas Vasilache; Kyle Chard; Ian T. Foster (CoRR, 2023)

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. - 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 (CoRR, 2023)

Rural AI: Serverless-Powered Federated Learning for Remote Applications. - Panos Patros; Melanie Ooi; Victoria Huang 001; Michael Mayo; Chris Anderson; Stephen Burroughs; Matt Baughman; Osama Almurshed; Omer F. Rana; Ryan Chard; Kyle Chard; Ian T. Foster (IEEE Internet Comput., 2023)

Globus automation services: Research process automation across the space-time continuum. - Ryan Chard; Jim Pruyne; Kurt McKee; Josh Bryan; Brigitte Raumann; Rachana Ananthakrishnan; Kyle Chard; Ian T. Foster (Future Gener. Comput. Syst., 2023)

Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications. - 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 (IEEE Instrum. Meas. Mag., 2023)

Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning. - Weijian Zheng; Hemant Sharma; Ryan Chard; Peter Kenesei; Jun-Sang Park; Nicholas Schwarz; Antonino Miceli; Ian T. Foster; Rajkumar Kettimuthu (IEEE Big Data, 2024)

An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. - André Bauer 001; Maxime Gonthier; Haochen Pan; Ryan Chard; Daniel Grzenda; Martin Straesser; J. Gregory Pauloski; Alok Kamatar; Matt Baughman; Nathaniel Hudson; Ian T. Foster; Kyle Chard (e-Science, 2024)

Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. - 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; et al. (e-Science, 2024)

An End-to-End Programming Model for AI Engine Architectures. - Maksim Levental; Arham Khan; Ryan Chard; Kyle Chard; Stephen Neuendorffer; Ian T. Foster (HEART, 2024)

BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. - Maksim Levental; Arham Khan; Ryan Chard; Kazutomo Yoshii; Kyle Chard; Ian T. Foster (HEART, 2024)

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. - Yifei Li; Ryan Chard; Yadu N. Babuji; Kyle Chard; Ian T. Foster; Zhuozhao Li (IPDPS, 2024)

Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute. - 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; et al. (SC Workshops, 2024)

Parsl+CWL: Towards Combining the Python and CWL Ecosystems. - Nishchay Karle; Ben Clifford; Yadu N. Babuji; Ryan Chard; Daniel S. Katz; Kyle Chard (SC Workshops, 2024)

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. - Haochen Pan; Ryan Chard; Sicheng Zhou; Alok Kamatar; Rafael Vescovi; Valérie Hayot-Sasson; André Bauer 001; Maxime Gonthier; Kyle Chard; Ian T. Foster (SC Workshops, 2024)

Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints. - 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; et al. (PEARC, 2024)

Zero Code and Infrastructure Research Data Portals. - Joe Bottigliero; Rachana Ananthakrishnan; Kyle Chard; Ryan Chard; Ian T. Foster (PEARC, 2024)

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. - Jim Pruyne; Valérie Hayot-Sasson; Weijian Zheng; Ryan Chard; Justin M. Wozniak; Tekin Bicer; Kyle Chard; Ian T. Foster (CoRR, 2024)

The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud. - André Bauer 001; Haochen Pan; Ryan Chard; Yadu N. Babuji; Josh Bryan; Devesh Tiwari; Ian T. Foster; Kyle Chard (Future Gener. Comput. Syst., 2024)

Employing artificial intelligence to steer exascale workflows with colmena. - Logan T. Ward; J. Gregory Pauloski; Valérie Hayot-Sasson; Yadu N. Babuji; Alexander Brace; Ryan Chard; Kyle Chard; Rajeev Thakur; Ian T. Foster (Int. J. High Perform. Comput. Appl., 2025)

WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks. - Sicheng Zhou; Zhuozhao Li; Valérie Hayot-Sasson; Haochen Pan; Maxime Gonthier; J. Gregory Pauloski; Ryan Chard; Kyle Chard; Ian T. Foster (CoRR, 2025)

Empowering Scientific Workflows with Federated Agents. - J. Gregory Pauloski; Yadu N. Babuji; Ryan Chard; Mansi Sakarvadia; Kyle Chard; Ian T. Foster (CoRR, 2025)

Flight: A FaaS-based framework for complex and Hierarchical Federated Learning. - Nathaniel Hudson; Valérie Hayot-Sasson; Yadu Nand Babuji; Matt Baughman; J. Gregory Pauloski; Ryan Chard; Ian T. Foster; Kyle Chard (Future Gener. Comput. Syst., 2026)