Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis

Nicholson Collier, Justin M. Wozniak, Abby Stevens, Yadu Babuji, Mickael Binois, Arindam Fadikar, Alexandra Wurth, Kyle Chard, and Jonathan Ozik

2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 868-877, 2023

IEEE Xplore

Distributed HPC workflow platform for robust epidemic analysis

Abstract

This paper describes the development of distributed HPC capabilities for an open science platform supporting robust epidemic analysis workflows.

The platform integrates scalable workflow execution, model exploration, and heterogeneous compute resources to improve throughput and reproducibility in epidemic simulation studies.

The resulting architecture enables collaborative, high-performance epidemiological modeling pipelines suitable for data-intensive, decision-support applications.

Citation

BibTeX

@inproceedings{collier2023osprey,
  title={Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis},
  author={Collier, Nicholson and Wozniak, Justin M. and Stevens, Abby and Babuji, Yadu and Binois, Mickael and Fadikar, Arindam and Wurth, Alexandra and Chard, Kyle and Ozik, Jonathan},
  booktitle={2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)},
  pages={868--877},
  year={2023},
  organization={IEEE},
  doi={10.1109/IPDPSW59300.2023.00143}
}