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papers

Publications (8)

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks

Huizi Mao, Song Han, Jeff Pool +4

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

Maohua Zhu, Jason Clemons, Jeff Pool +3

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs

Esha Choukse, Michael Sullivan, Mike O'Connor +4

Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip

Feiwen Zhu, Jeff Pool, Michael Andersch +2

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

Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee +2

Efficient Sparse-Winograd Convolutional Neural Networks

Xingyu Liu, Jeff Pool, Song Han +1

Learning both Weights and Connections for Efficient Neural Networks

Song Han, Jeff Pool, John Tran +1

DSD: Dense-Sparse-Dense Training for Deep Neural Networks

Song Han, Jeff Pool, Sharan Narang +9