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The last 5 uploaded publications
EIE
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, William J. Dally (2016). EIE. ACM SIGARCH Computer Architecture News, 44(3), pp. 243-254, DOI: 10.1145/3007787.3001163.
Article286 days agoEIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, William J. Dally (2016). EIE: Efficient Inference Engine on Compressed Deep Neural Network. , pp. 243-254, DOI: 10.1109/isca.2016.30.
Preprint286 days agoDark Memory and Accelerator-Rich System Optimization in the Dark Silicon Era
Ardavan Pedram, Stephen Richardson, Mark Horowitz, Sameh Galal, Shahar Kvatinsky (2016). Dark Memory and Accelerator-Rich System Optimization in the Dark Silicon Era. IEEE Design and Test, 34(2), pp. 39-50, DOI: 10.1109/mdat.2016.2573586.
Article286 days agoA Systematic Approach to Blocking Convolutional Neural Networks
Xuan Yang, Jing Pu, Blaine Rister, Nikhil Bhagdikar, Stephen Richardson, Shahar Kvatinsky, Jonathan Ragan‐Kelley, Ardavan Pedram, Mark Horowitz (2016). A Systematic Approach to Blocking Convolutional Neural Networks. arXiv (Cornell University), DOI: 10.48550/arxiv.1606.04209.
Preprint286 days agoDeep compression and EIE: Efficient inference engine on compressed deep neural network
Song Han, Xingyu Liu, Huizi Mao, Pu Jing, Ardavan Pedram, Mark Horowitz, Bill Dally (2016). Deep compression and EIE: Efficient inference engine on compressed deep neural network. , DOI: 10.1109/hotchips.2016.7936226.
Article286 days ago