Jaime Cernuda
Back to Publications
eScience'262026Conference

Rich I/O-centric Derived Quantity Operators for Advanced In Situ Processing

Hua Xu, Jaime Cernuda, Anthony Kougkas, Xian-He Sun, Ana Gainaru, Scott Klasky, M. Taufer, N. Tan, K. Assogba, M. Rafique, Bogdan Nicolae, J. Teves, C. Brinker, L. Pouchard, Jay Lofstead
In Situ ProcessingDerived QuantitiesI/O LibrariesHPC

Cite this work

@inproceedings{xu2026richoperators,
  title={Rich I/O-centric Derived Quantity Operators for Advanced In Situ Processing},
  author={Xu, Hua and Cernuda, Jaime and Kougkas, Anthony and Sun, Xian-He and Gainaru, Ana and Klasky, Scott and Taufer, M. and Tan, N. and Assogba, K. and Rafique, M. and Nicolae, Bogdan and Teves, J. and Brinker, C. and Pouchard, L. and Lofstead, Jay},
  booktitle={22nd IEEE International Conference on eScience (eScience 2026)},
  year={2026}
}

Derived quantity operators provide a modular framework within high-level I/O libraries for transparent in situ analysis. Operator-declared metadata binds analysis to persistent hierarchical storage and enables cross-timestep and cross-run analysis within the I/O path.