A Performance Characterization of Scientific Machine Learning Workflows. Krawczuk, P., Papadimitriou, G., Tanaka, R., Do, T. M. A., Subramany, S., Nagarkar, S., Jain, A., Lam, K., Mandal, A., Pottier, L., & Deelman, E. In 2021 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), pages 58-65, 2021. Funding Acknowledgments: DOE DE-SC0012636, NSF 1664162
doi  bibtex   
@inproceedings{krawczuk-works-2021,
    title = {A Performance Characterization of Scientific Machine Learning Workflows},
    author = {Krawczuk, Patrycja and Papadimitriou, George and Tanaka, Ryan and Do, Tu Mai Anh and
    Subramany, Srujana and Nagarkar, Shubham and Jain, Aditi and Lam, Kelsie and Mandal, Anirban and
    Pottier, Lo\"ic and Deelman, Ewa},
    booktitle = {2021 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS)},
    year = {2021},
    pages = {58-65},
    doi = {10.1109/WORKS54523.2021.00013},
    note = {Funding Acknowledgments: DOE DE-SC0012636, NSF 1664162}
}

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