Jeff Pool - RankMe

27 papers A* 5C 2Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models. NeurIPS Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang
2024	J	`jnl`	MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models. CoRR Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang
2021	J	`jnl`	Accelerating Sparse Deep Neural Networks. CoRR Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius
2021	A*	`conf`	Channel Permutations for N: M Sparsity. NeurIPS Jeff Pool, Chong Yu
2020	A*	`conf`	Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. ISCA Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler
2020	J	`jnl`	Self-Supervised GAN Compression. CoRR Chong Yu, Jeff Pool
2020	A*	`conf`	Self-Supervised Generative Adversarial Compression. NeurIPS Chong Yu, Jeff Pool
2019	J	`jnl`	Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. CoRR Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler
2018	A*	`conf`	Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. HPCA Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler
2018	—	`conf`	Efficient Sparse-Winograd Convolutional Neural Networks. ICLR (Poster) Xingyu Liu, Jeff Pool, Song Han, William J. Dally
2018	J	`jnl`	Efficient Sparse-Winograd Convolutional Neural Networks. CoRR Xingyu Liu, Jeff Pool, Song Han, William J. Dally
2018	—	`conf`	Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip. ICLR (Poster) Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie
2018	J	`jnl`	Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip. CoRR Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie
2018	J	`jnl`	Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. CoRR Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie
2017	J	`jnl`	Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. CoRR Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
2017	—	`conf`	DSD: Dense-Sparse-Dense Training for Deep Neural Networks. ICLR (Poster) 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
2017	—	`conf`	Exploring the Granularity of Sparsity in Convolutional Neural Networks. CVPR Workshops Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
2017	J	`jnl`	Exploring the Regularity of Sparse Structure in Convolutional Neural Networks. CoRR Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
2016	J	`jnl`	DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow. CoRR Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Shijian Tang, Erich Elsen, Bryan Catanzaro, John Tran, William J. Dally
2015	—	`conf`	Learning both Weights and Connections for Efficient Neural Network. NIPS Song Han, Jeff Pool, John Tran, William J. Dally
2015	J	`jnl`	Learning both Weights and Connections for Efficient Neural Networks. CoRR Song Han, Jeff Pool, John Tran, William J. Dally
2012	—	`—`	Energy-precision tradeoffs in the graphics pipeline. Jeff Pool
2012	—	`conf`	Lossless compression of variable-precision floating-point buffers on GPUs. I3D Jeff Pool, Anselmo Lastra, Montek Singh
2011	J	`jnl`	Power-Gated Arithmetic Circuits for Energy-Precision Tradeoffs in Mobile Graphics Processing Units. J. Low Power Electron. Jeff Pool, Anselmo Lastra, Montek Singh
2011	—	`conf`	Precision Selection for Energy-Effi cient Pixel Shaders. High Performance Graphics Jeff Pool, Anselmo Lastra, Montek Singh
2010	C	`conf`	An energy model for graphics processing units. ICCD Jeff Pool, Anselmo Lastra, Montek Singh
2008	C	`conf`	Energy-precision tradeoffs in mobile Graphics Processing Units. ICCD Jeff Pool, Anselmo Lastra, Montek Singh