Tim Moon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
3
Active years
2016–2022
Best venue rank
A
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | CCGRID | Parallelizing Graph Neural Networks via Matrix Compaction for Edge-Conditioned Networks. | Shehtab Zaman, Tim Moon, Tom Benson, Sam Ad Jacobs, Kenneth Chiu, Brian Van Essen |
| 2019 | CLUSTER | 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, Shusen Liu, Peer-Timo Bremer |
| 2019 | SC | Channel and filter parallelism for large-scale CNN training. | Nikoli Dryden, Naoya Maruyama, Tim Moon, Tom Benson, Marc Snir, Brian Van Essen |
| 2016 | SC | Communication Quantization for Data-Parallel Training of Deep Neural Networks. | Nikoli Dryden, Tim Moon, Sam Ade Jacobs, Brian Van Essen |