EDBT 2026 Demo / reviewers in the wild / expert
Joshua Romero
dblp:211/7541
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Computer networks · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
High-performance computing · 72% Distributed systems · 28% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
collective communication |
0.6 | 1 | 2022 | Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks · NSDI 2022 |
Distributed systems › distributed machine learning
distributed training |
0.6 | 1 | 2022 | Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks · NSDI 2022 |
High-performance computing
large-scale training |
0.3 | 1 | 2018 | Exascale deep learning for climate analytics · SC 2018 |
Environmental and earth informatics › climate science
climate data analysis |
0.1 | 1 | 2018 | Exascale deep learning for climate analytics · SC 2018 |
Methods — techniques the papers use, named apart from their topics
distributed training · 0.7deep learning · 0.7gradient compression · 0.6allreduce · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks
Joshua Romero, Junqi Yin, Nouamane Laanait, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson |
NSDI | 1 |
| 2018 | 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 |
SC | 3 |