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, DE-SC0022328, 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, DE-SC0022328,
		  NSF 1664162}
}

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