Jeff Pool
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
5
Active years
2008–2020
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | ISCA | Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. | Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler |
| 2018 | HPCA | Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. | Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler |
| 2018 | ICLR | Efficient Sparse-Winograd Convolutional Neural Networks. | Xingyu Liu, Jeff Pool, Song Han, William J. Dally |
| 2018 | ICLR | Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip. | Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie |
| 2017 | CVPR | Exploring the Granularity of Sparsity in Convolutional Neural Networks. | Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally |
| 2017 | ICLR | DSD: Dense-Sparse-Dense Training for Deep Neural Networks. | Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally |
| 2010 | ICCD | An energy model for graphics processing units. | Jeff Pool, Anselmo Lastra, Montek Singh |
| 2008 | ICCD | Energy-precision tradeoffs in mobile Graphics Processing Units. | Jeff Pool, Anselmo Lastra, Montek Singh |