Joshua Romero
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
2
Active years
2017–2025
Best venue rank
A
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SC | A Peak Performance Model for All-to-all on Hierarchical Systems and Its Applications. | Rohini Uma-Vaideswaran, Joshua Romero, Daniel L. Dotson, David Appelhans, P. K. Yeung |
| 2022 | NSDI | Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks. | Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson |
| 2019 | SC | Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. | Liu Yang, Prabhat, George E. Karniadakis, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston |
| 2018 | SC | Exascale deep learning for climate analytics. | Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston |
| 2017 | SC | A Performance Study of Quantum ESPRESSO's PWscf Code on Multi-core and GPU Systems. | Joshua Romero, Everett H. Phillips, Gregory Ruetsch, Massimiliano Fatica, Filippo Spiga, Paolo Giannozzi |