| Funcx: A federated function serving fabric for science R Chard, Y Babuji, Z Li, T Skluzacek, A Woodard, B Blaiszik, I Foster, ... Proceedings of the 29th International symposium on high-performance parallel …, 2020 | 156 | 2020 |
| Serverless supercomputing: High performance function as a service for science R Chard, TJ Skluzacek, Z Li, Y Babuji, A Woodard, B Blaiszik, S Tuecke, ... arXiv preprint arXiv:1908.04907, 2019 | 39 | 2019 |
| Klimatic: a virtual data lake for harvesting and distribution of geospatial data TJ Skluzacek, K Chard, I Foster 2016 1st Joint International Workshop on Parallel Data Storage and data …, 2016 | 30 | 2016 |
| DLHub: Simplifying publication, discovery, and use of machine learning models in science Z Li, R Chard, L Ward, K Chard, TJ Skluzacek, Y Babuji, A Woodard, ... Journal of Parallel and Distributed Computing 147, 64-76, 2021 | 29 | 2021 |
| Skluma: An extensible metadata extraction pipeline for disorganized data TJ Skluzacek, R Kumar, R Chard, G Harrison, P Beckman, K Chard, ... 2018 IEEE 14th International Conference on e-Science (e-Science), 256-266, 2018 | 22 | 2018 |
| Serverless workflows for indexing large scientific data TJ Skluzacek, R Chard, R Wong, Z Li, YN Babuji, L Ward, B Blaiszik, ... Proceedings of the 5th International Workshop on Serverless Computing, 43-48, 2019 | 18 | 2019 |
| Skluma: A statistical learning pipeline for taming unkempt data repositories P Beckman, TJ Skluzacek, K Chard, I Foster Proceedings of the 29th International Conference on Scientific and …, 2017 | 18 | 2017 |
| Workflows community summit 2022: A roadmap revolution RF da Silva, RM Badia, V Bala, D Bard, PT Bremer, I Buckley, ... arXiv preprint arXiv:2304.00019, 2023 | 16 | 2023 |
| A serverless framework for distributed bulk metadata extraction TJ Skluzacek, R Wong, Z Li, R Chard, K Chard, I Foster Proceedings of the 30th International Symposium on High-Performance Parallel …, 2021 | 15 | 2021 |
| funcX: Federated Function as a Service for Science Z Li, R Chard, Y Babuji, B Galewsky, TJ Skluzacek, K Nagaitsev, ... IEEE Transactions on Parallel and Distributed Systems 33 (12), 4948-4963, 2022 | 10 | 2022 |
| Dredging a data lake: decentralized metadata extraction TJ Skluzacek Proceedings of the 20th International Middleware Conference Doctoral …, 2019 | 10 | 2019 |
| Automated metadata extraction can make data swamps more navigable TJ Skluzacek The University of Chicago, 2022 | 4 | 2022 |
| Workflows Community Summit 2022: A Roadmap Revolution R Ferreira Da Silva, R Badia, V Bala, D Bard, PT Bremer, I Buckley, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023 | 2 | 2023 |
| Models and metrics for mining meaningful metadata TJ Skluzacek, M Chen, E Hsu, K Chard, I Foster International Conference on Computational Science, 417-430, 2022 | 2 | 2022 |
| Real-time HEP analysis with funcX, a high-performance platform for function as a service AE Woodard, A Trisovic, Z Li, Y Babuji, R Chard, T Skluzacek, B Blaiszik, ... EPJ Web of Conferences 245, 07046, 2020 | 2 | 2020 |
| Automated metadata extraction: challenges and opportunities TJ Skluzacek, K Chard, I Foster 2022 IEEE 18th International Conference on e-Science (e-Science), 495-500, 2022 | 1 | 2022 |
| Safe Double Blind Studies as a Service TJ Skluzacek, S Rehman, I Foster 2017 IEEE 13th International Conference on e-Science (e-Science), 504-509, 2017 | 1 | 2017 |
| Advancing Computational Earth Sciences: Innovations and Challenges in Scientific HPC Workflows RF da Silva, K Maheshwari, T Skluzacek, R Souza, S Wilkinson EGU24, 2024 | | 2024 |
| Can Automated Metadata Extraction Make Scientific Data More Navigable? TJ Skluzacek, K Chard, I Foster 2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023 | | 2023 |
| Towards Lightweight Data Integration Using Multi-Workflow Provenance and Data Observability R Souza, TJ Skluzacek, SR Wilkinson, M Ziatdinov, RF Da Silva 2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023 | | 2023 |
