Jeff Pool

According to our database, Jeff Pool authored at least 22 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.

Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang

CoRR, 2024

2021

Accelerating Sparse Deep Neural Networks.

Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius

CoRR, 2021

Channel Permutations for N: M Sparsity.

Jeff Pool, Chong Yu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Self-Supervised GAN Compression.

Chong Yu, Jeff Pool

CoRR, 2020

Self-Supervised Generative Adversarial Compression.

Chong Yu, Jeff Pool

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2018

Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training.

Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie

CoRR, 2018

Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip.

Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie

Proceedings of the 6th International Conference on Learning Representations, 2018

Efficient Sparse-Winograd Convolutional Neural Networks.

Xingyu Liu, Jeff Pool, Song Han, William J. Dally

Proceedings of the 6th International Conference on Learning Representations, 2018

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

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

2017

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks.

Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler

CoRR, 2017

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks.

Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally

CoRR, 2017

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

Proceedings of the 5th International Conference on Learning Representations, 2017

Exploring the Granularity of Sparsity in Convolutional Neural Networks.

Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow.

Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Shijian Tang, Erich Elsen, Bryan Catanzaro, John Tran, William J. Dally

CoRR, 2016

2015

Learning both Weights and Connections for Efficient Neural Networks.

Song Han, Jeff Pool, John Tran, William J. Dally

CoRR, 2015

Learning both Weights and Connections for Efficient Neural Network.

Song Han, Jeff Pool, John Tran, William J. Dally

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2012

Lossless compression of variable-precision floating-point buffers on GPUs.

Jeff Pool, Anselmo Lastra, Montek Singh

Proceedings of the Symposium on Interactive 3D Graphics and Games, 2012

2011

Power-Gated Arithmetic Circuits for Energy-Precision Tradeoffs in Mobile Graphics Processing Units.

Jeff Pool, Anselmo Lastra, Montek Singh

J. Low Power Electron., 2011

Precision Selection for Energy-Effi cient Pixel Shaders.

Jeff Pool, Anselmo Lastra, Montek Singh

Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on High Performance Graphics 2011, 2011

2010

An energy model for graphics processing units.

Jeff Pool, Anselmo Lastra, Montek Singh

Proceedings of the 28th International Conference on Computer Design, 2010

2008

Energy-precision tradeoffs in mobile Graphics Processing Units.

Jeff Pool, Anselmo Lastra, Montek Singh

Proceedings of the 26th International Conference on Computer Design, 2008