Jeff Pool

Identifiers

No identifiers captured yet.

Papers (8)

1. Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs cs.AR · 2019 · author #5
2. Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training cs.LG · 2018 · author #3
3. Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip cs.NE · 2018 · author #2
4. Efficient Sparse-Winograd Convolutional Neural Networks cs.CV · 2018 · author #2
5. Exploring the Regularity of Sparse Structure in Convolutional Neural Networks cs.LG · 2017 · author #3
6. Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks cs.LG · 2017 · author #4
7. DSD: Dense-Sparse-Dense Training for Deep Neural Networks cs.CV · 2016 · author #2
8. Learning both Weights and Connections for Efficient Neural Networks cs.NE · 2015 · author #2

Mentions

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Frequent Coauthors

• Song Han 4 shared papers
• William J. Dally 4 shared papers
• Huizi Mao 2 shared papers
• John Tran 2 shared papers
• Mike O'Connor 2 shared papers
• Minsoo Rhu 2 shared papers
• Stephen W. Keckler 2 shared papers
• Xingyu Liu 2 shared papers
• Bryan Catanzaro 1 shared papers
• David Nellans 1 shared papers
• Enhao Gong 1 shared papers
• Erich Elsen 1 shared papers
• Esha Choukse 1 shared papers
• Feiwen Zhu 1 shared papers
• Fung Xie 1 shared papers
• Jason Clemons 1 shared papers
• Jeremy Appleyard 1 shared papers
• Manohar Paluri 1 shared papers
• Maohua Zhu 1 shared papers
• Mattan Erez 1 shared papers