Cloud Kotta: Enabling secure and scalable data analytics in the cloud. - Yadu N. Babuji; Kyle Chard; Aaron Gerow; Eamon Duede (IEEE BigData, 2016)

A secure data enclave and analytics platform for social scientists. - Yadu N. Babuji; Kyle Chard; Aaron Gerow; Eamon Duede (eScience, 2016)

Analysis of Distributed Execution of Workloads. - Matteo Turilli; Yadu Nand Babuji; André Merzky; Ming Tai Ha; Michael Wilde; Daniel S. Katz; Shantenu Jha (CoRR, 2016)

Application Skeleton: Generating Synthetic Applications for Infrastructure Research. - Zhao Zhang 007; Daniel S. Katz; André Merzky; Matteo Turilli; Shantenu Jha; Yadu Nand Babuji (J. Open Source Softw., 2016)

Safe Collections and Stewardship on Cloud Kotta. - Yadu N. Babuji; Kyle Chard; Eamon Duede; Ian T. Foster (eScience, 2017)

Evaluating Distributed Execution of Workloads. - Matteo Turilli; Yadu Nand Babuji; André Merzky; Ming Tai Ha; Michael Wilde; Daniel S. Katz; Shantenu Jha (eScience, 2017)

Web of Science™ as a Research Dataset. - Katy Börner; Valentin Pentchev; Matthew Hutchinson; James Pringle; Jason Rollins; Yadu N. Babuji; Eamon Duede (ISSI, 2017)

Enabling Interactive Analytics of Secure Data using Cloud Kotta. - Yadu N. Babuji; Kyle Chard; Eamon Duede (CoRR, 2017)

Parsl: Scalable Parallel Scripting in Python. - Yadu N. Babuji; Kyle Chard; Ian T. Foster; Daniel S. Katz; Mike Wilde; Anna Woodard; Justin M. Wozniak (IWSG, 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)

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)

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)

Scalable Parallel Programming in Python with Parsl. - Yadu N. Babuji; Anna Woodard; Zhuozhao Li; Daniel S. Katz; Ben Clifford; Ian T. Foster; Michael Wilde; Kyle Chard (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)

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)

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)

Extreme Scale Survey Simulation with Python Workflows. - Antonio Villarreal; Yadu N. Babuji; Thomas D. Uram; Daniel S. Katz; Kyle Chard; Katrin Heitmann (e-Science, 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)

Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications. - Tim Shaffer; Zhuozhao Li; Ben Tovar; Yadu N. Babuji; T. J. Dasso; Zoe Surma; Kyle Chard; Ian T. Foster; Douglas Thain (IPDPS, 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)

ExaWorks: Workflows for Exascale. - Aymen Al-Saadi; Dong H. Ahn; Yadu N. Babuji; Kyle Chard; James Corbett; Mihael Hategan; Stephen Herbein; Shantenu Jha; Daniel E. Laney; André Merzky; Todd S. Munson; Michael Salim; et al. (WORKS, 2021)

Workflows Community Summit: Bringing the Scientific Workflows Community Together. - Rafael Ferreira da Silva; Henri Casanova; Kyle Chard; Dan Laney; Dong H. Ahn; Shantenu Jha; Carole A. Goble; Lavanya Ramakrishnan; J. Luc Peterson; Bjoern Enders; Douglas Thain; Ilkay Altintas; et al. (CoRR, 2021)

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. - Rafael Ferreira da Silva; Henri Casanova; Kyle Chard; Tainã Coleman; Dan Laney; Dong H. Ahn; Shantenu Jha; Dorran Howell; Stian Soiland-Reyes; Ilkay Altintas; Douglas Thain; Rosa Filgueira; et al. (CoRR, 2021)

Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening. - Austin Clyde; Thomas S. Brettin; Alexander Partin; Hyun Seung Yoo; Yadu N. Babuji; Ben Blaiszik; André Merzky; Matteo Turilli; Shantenu Jha; Arvind Ramanathan; Rick Stevens (CoRR, 2021)

ExaWorks: Workflows for Exascale. - Aymen Al-Saadi; Dong H. Ahn; Yadu N. Babuji; Kyle Chard; James Corbett; Mihael Hategan; Stephen Herbein; Shantenu Jha; Daniel E. Laney; André Merzky; Todd S. Munson; Michael Salim; et al. (CoRR, 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)

HiPS2022: The 2nd Workshop on High Performance Serverless Computing. - Yadu N. Babuji; Kyle Chard; Ian T. Foster; Zhuozhao Li (HPDC, 2022)

Extended Abstract: Productive Parallel Programming with Parsl. - Kyle Chard; Yadu N. Babuji; Anna Woodard; Ben Clifford; Zhuozhao Li; Mihael Hategan; Ian T. Foster; Mike Wilde; Daniel S. Katz (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)

$f$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)

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

Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. - Nicholson T. Collier; Justin M. Wozniak; Abby Stevens; Yadu N. Babuji; Mickaël Binois; Arindam Fadikar; Alexandra Würth; Kyle Chard; Jonathan Ozik (IPDPS Workshops, 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)

The Changing Role of RSEs over the Lifetime of Parsl. - Daniel S. Katz; Ben Clifford; Yadu N. Babuji; Kevin Hunter Kesling; Anna Woodard; Kyle Chard (CoRR, 2023)

Enhancing Energy Efficiency with Multi-Site Scheduling Strategies. - Alok Kamatar; Valérie Hayot-Sasson; Yadu N. Babuji; André Bauer 001; Gourav Rattihalli; Ninad Hogade; Dejan S. Milojicic; Kyle Chard; Ian T. Foster (IPDPS (Workshops), 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)

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)

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS. - Alok Kamatar; Valérie Hayot-Sasson; Yadu N. Babuji; André Bauer 001; Gourav Rattihalli; Ninad Hogade; Dejan S. Milojicic; Kyle Chard; Ian T. Foster (CoRR, 2024)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. - Rafael Ferreira da Silva; Deborah Bard; Kyle Chard; Shaun De Witt; Ian T. Foster; Tom Gibbs; Carole A. Goble; William F. Godoy; Johan Gustafsson 001; Utz-Uwe Haus; Stephen Hudson; Shantenu Jha; et al. (CoRR, 2024)

LSHBloom: Memory-efficient, Extreme-scale Document Deduplication. - Arham Khan; Robert Underwood; Carlo Siebenschuh; Yadu N. Babuji; Aswathy Ajith; Kyle Hippe; Ozan Gökdemir; Alexander Brace; 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)

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine. - Carlo Siebenschuh; Kyle Hippe; Ozan Gökdemir; Alexander Brace; Arham Khan; Khalid Hossain; Yadu N. Babuji; Nicholas Chia; Venkatram Vishwanath; Rick Stevens; Arvind Ramanathan; Ian T. Foster; et al. (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)

AERO: An autonomous platform for continuous research. - Valérie Hayot-Sasson; Abby Stevens; Nicholson T. Collier; Sudershan Sridhar; Kyle Conroy; J. Gregory Pauloski; Yadu N. Babuji; Maxime Gonthier; Nathaniel Hudson 001; Dante D. Sánchez-Gallegos; Ian T. Foster; Jonathan Ozik; et al. (CoRR, 2025)

Flight: A FaaS-based framework for complex and Hierarchical Federated Learning. - Nathaniel Hudson 001; Valérie Hayot-Sasson; Yadu Nand Babuji; Matt Baughman; J. Gregory Pauloski; Ryan Chard; Ian T. Foster; Kyle Chard (Future Gener. Comput. Syst., 2026)