Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. - Sam Ade Jacobs; Jim Gaffney; Tom Benson; Peter B. Robinson; J. Luc Peterson; Brian K. Spears; Brian Van Essen; David Hysom; Jae-Seung Yeom; Tim Moon; Rushil Anirudh; Jayaraman J. Thiagarajan; et al. (CLUSTER, 2019)

Merlin: Enabling Machine Learning-Ready HPC Ensembles. - J. Luc Peterson; Rushil Anirudh; Kevin Athey; Benjamin Bay; Peer-Timo Bremer; Vic Castillo; Francesco Di Natale; David Fox; Jim A. Gaffney; David Hysom; Sam Ade Jacobs; Bhavya Kailkhura; et al. (CoRR, 2019)

Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. - Shusen Liu 001; Jim Gaffney; J. Luc Peterson; Peter B. Robinson; Harsh Bhatia; Valerio Pascucci; Brian K. Spears; Peer-Timo Bremer; Di Wang; Dan Maljovec; Rushil Anirudh; Jayaraman J. Thiagarajan; et al. (IEEE Trans. Vis. Comput. Graph., 2020)

Enabling machine learning-ready HPC ensembles with Merlin. - J. Luc Peterson; Benjamin Bay; Joe Koning; Peter B. Robinson; Jessica Semler; Jeremy White; Rushil Anirudh; Kevin Athey; Peer-Timo Bremer; Francesco Di Natale; David Fox; Jim A. Gaffney; et al. (Future Gener. Comput. Syst., 2022)

GEOS: A performance portable multi-physics simulation framework for subsurface applications. - Randolph Richard Settgast; Benjamin Curtice Corbett; Sergey Klevtsov; François P. Hamon; Christopher S. Sherman; Matteo Cusini; Thomas Gazzola; William R. Tobin; Joshua A. White; Nicola Castelletto; Andrea Borio; Andrea Franceschini; et al. (Zenodo, 2024)

GEOSX. - Randolph Richard Settgast; Benjamin Curtice Corbett; Sergey Klevtsov; François P. Hamon; Christopher S. Sherman; Matteo Cusini; Thomas Gazzola; William R. Tobin; Joshua A. White; Nicola Castelletto; Andrea Borio; Andrea Franceschini; et al. (Zenodo, 2024)