Tyler J. Skluzacek

Orcid: 0000-0003-2242-4931

According to our database1, Tyler J. Skluzacek authored at least 24 papers between 2016 and 2025.

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Bibliography

2025
Secure API-Driven Research Automation to Accelerate Scientific Discovery.
CoRR, June, 2025

Enabling Seamless Transitions from Experimental to Production HPC for Interactive Workflows.
CoRR, June, 2025

2024
Globus service enhancements for exascale applications and facilities.
Int. J. High Perform. Comput. Appl., 2024

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
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CoRR, 2024

Towards Cross-Facility Workflows Orchestration through Distributed Automation.
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Scalable Multi-Facility Workflows for Artificial Intelligence Applications in Climate Research.
Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023
Towards Lightweight Data Integration Using Multi-Workflow Provenance and Data Observability.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Can Automated Metadata Extraction Make Scientific Data More Navigable?
Proceedings of the 19th IEEE International Conference on e-Science, 2023

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

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

Models and Metrics for Mining Meaningful Metadata.
Proceedings of the Computational Science - ICCS 2022, 2022

Automated metadata extraction: challenges and opportunities.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

Pseudonymization at Scale: OLCF's Summit Usage Data Case Study.
Proceedings of the IEEE International Conference on Big Data, 2022

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

A Serverless Framework for Distributed Bulk Metadata Extraction.
Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

2020
funcX: A Federated Function Serving Fabric for Science.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019
Serverless Supercomputing: High Performance Function as a Service for Science.
CoRR, 2019

Serverless Workflows for Indexing Large Scientific Data.
Proceedings of the 5th International Workshop on Serverless Computing, 2019

Dredging a data lake: decentralized metadata extraction.
Proceedings of the 20th International Middleware Conference Doctoral Symposium, 2019

2018
Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017
Skluma: A Statistical Learning Pipeline for Taming Unkempt Data Repositories.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Safe Double Blind Studies as a Service.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016
Klimatic: A Virtual Data Lake for Harvesting and Distribution of Geospatial Data.
Proceedings of the 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems, 2016


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