Jeff Pool

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 19

Top Topics

Training Patterns

Motion Field Estimation

Text Compression

Top Venues

Publications

Jeff Pool, Chong Yu
Channel Permutations for N: M Sparsity. NeurIPS (2021)
Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius
Accelerating Sparse Deep Neural Networks. CoRR (2021)
Chong Yu, Jeff Pool
Self-Supervised GAN Compression. CoRR (2020)
Chong Yu, Jeff Pool
Self-Supervised Generative Adversarial Compression. NeurIPS (2020)
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. ISCA (2020)
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. CoRR (2019)
Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip. ICLR (Poster) (2018)
Xingyu Liu, Jeff Pool, Song Han, William J. Dally
Efficient Sparse-Winograd Convolutional Neural Networks. ICLR (Poster) (2018)
Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie
Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. CoRR (2018)
Xingyu Liu, Jeff Pool, Song Han, William J. Dally
Efficient Sparse-Winograd Convolutional Neural Networks. CoRR (2018)
Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip. CoRR (2018)
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. HPCA (2018)
Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks. CoRR (2017)
Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
Exploring the Granularity of Sparsity in Convolutional Neural Networks. CVPR Workshops (2017)
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
DSD: Dense-Sparse-Dense Training for Deep Neural Networks. ICLR (Poster) (2017)
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. CoRR (2017)
Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Shijian Tang, Erich Elsen, Bryan Catanzaro, John Tran, William J. Dally
DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow. CoRR (2016)
Song Han, Jeff Pool, John Tran, William J. Dally
Learning both Weights and Connections for Efficient Neural Network. NIPS (2015)
Song Han, Jeff Pool, John Tran, William J. Dally
Learning both Weights and Connections for Efficient Neural Networks. CoRR (2015)
Jeff Pool, Anselmo Lastra, Montek Singh
Lossless compression of variable-precision floating-point buffers on GPUs. I3D (2012)
Jeff Pool, Anselmo Lastra, Montek Singh
Power-Gated Arithmetic Circuits for Energy-Precision Tradeoffs in Mobile Graphics Processing Units. J. Low Power Electron. 7 (2) (2011)
Jeff Pool, Anselmo Lastra, Montek Singh
Precision Selection for Energy-Effi cient Pixel Shaders. High Performance Graphics (2011)
Jeff Pool, Anselmo Lastra, Montek Singh
An energy model for graphics processing units. ICCD (2010)
Jeff Pool, Anselmo Lastra, Montek Singh
Energy-precision tradeoffs in mobile Graphics Processing Units. ICCD (2008)