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    Author information
    First name: William J.
    Last name: Dally
    DBLP: d/WJDally
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    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 194  
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    Conference paper
    Yatish Turakhia, Subhasis Das, Tor M. Aamodt, William J. Dally.
    HoLiSwap: Reducing Wire Energy in L1 Caches.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally.
    Exploring the Regularity of Sparse Structure in Convolutional Neural Networks.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel S. Emer, Stephen W. Keckler, William J. Dally.
    SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks.
    Proceedings of the 44th Annual International Symposium on Computer Architecture, ISCA 2017, Toronto, ON, Canada, June 24-28, 2017 2017 (0) 2017
    Journal article
    Morteza Mardani, Enhao Gong, Joseph Y. Cheng, S. S. Vasanawala, Greg Zaharchuk, Marcus T. Alley, Neil Thakur, Song Han, William J. Dally, John M. Pauly, Lei Xing.
    Deep Generative Adversarial Networks for Compressed Sensing Automates MRI.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel S. Emer, Stephen W. Keckler, William J. Dally.
    SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang 0002, William J. Dally.
    Exploring the Granularity of Sparsity in Convolutional Neural Networks.
    2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel R. Johnson, Stephen W. Keckler, Minsoo Rhu, William J. Dally.
    Architecting an Energy-Efficient DRAM System for GPUs.
    2017 IEEE International Symposium on High Performance Computer Architecture, HPCA 2017, Austin, TX, USA, February 4-8, 2017 2017 (0) 2017
    Conference paper
    Subhasis Das, Tor M. Aamodt, William J. Dally.
    Reuse Distance-Based Probabilistic Cache Replacement.
    TACO 2015, Volume 12 (0) 2016
    Conference paper
    Mahmut E. Sinangil, John W. Poulton, Matthew R. Fojtik, Thomas H. Greer, Stephen G. Tell, Andreas J. Gotterba, Jesse Wang, Jason Golbus, Brian Zimmer, William J. Dally, C. Thomas Gray.
    A 28 nm 2 Mbit 6 T SRAM With Highly Configurable Low-Voltage Write-Ability Assist Implementation and Capacitor-Based Sense-Amplifier Input Offset Compensation.
    J. Solid-State Circuits 2016, Volume 51 (0) 2016
    Conference paper
    Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Song Han, William J. Dally, Kurt Keutzer.
    SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and 1MB model size.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    John M. Wilson, Matthew R. Fojtik, John W. Poulton, Xi Chen, Stephen G. Tell, Thomas H. Greer, C. Thomas Gray, William J. Dally.
    8.6 A 6.5-to-23.3fJ/b/mm balanced charge-recycling bus in 16nm FinFET CMOS at 1.7-to-2.6Gb/s/wire with clock forwarding and low-crosstalk contraflow wiring.
    2016 IEEE International Solid-State Circuits Conference, ISSCC 2016, San Francisco, CA, USA, January 31 - February 4, 2016 2016 (0) 2016
    Conference paper
    Milad Mohammadi, Tor M. Aamodt, William J. Dally.
    CG-OoO: Energy-Efficient Coarse-Grain Out-of-Order Execution.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, William J. Dally.
    EIE: Efficient Inference Engine on Compressed Deep Neural Network.
    43rd ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2016, Seoul, South Korea, June 18-22, 2016 2016 (0) 2016
    Conference paper
    Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, William J. Dally.
    EIE: Efficient Inference Engine on Compressed Deep Neural Network.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Shijian Tang, Erich Elsen, Bryan Catanzaro, John Tran, William J. Dally.
    DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Chenzhuo Zhu, Song Han, Huizi Mao, William J. Dally.
    Trained Ternary Quantization.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Song Han, Junlong Kang, Huizi Mao, Yiming Hu, Xin Li, Yubin Li, Dongliang Xie, Hong Luo, Song Yao, Yu Wang, Huazhong Yang, William J. Dally.
    ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    R. Curtis Harting, William J. Dally.
    On-Chip Active Messages for Speed, Scalability, and Efficiency.
    IEEE Trans. Parallel Distrib. Syst. 2015, Volume 26 (0) 2015
    Conference paper
    Subhasis Das, Tor M. Aamodt, William J. Dally.
    SLIP: reducing wire energy in the memory hierarchy.
    Proceedings of the 42nd Annual International Symposium on Computer Architecture, Portland, OR, USA, June 13-17, 2015 2015 (0) 2015
    Journal article
    Milad Mohammadi, Song Han, Tor M. Aamodt, William J. Dally.
    On-Demand Dynamic Branch Prediction.
    Computer Architecture Letters 2015, Volume 14 (0) 2015
    Journal article
    Song Han, Jeff Pool, John Tran, William J. Dally.
    Learning both Weights and Connections for Efficient Neural Networks.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Nan Jiang, Larry R. Dennison, William J. Dally.
    Network endpoint congestion control for fine-grained communication.
    Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2015, Austin, TX, USA, November 15-20, 2015 2015 (0) 2015
    Conference paper
    Song Han, Huizi Mao, William J. Dally.
    Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Song Han, Jeff Pool, John Tran, William J. Dally.
    Learning both Weights and Connections for Efficient Neural Network.
    Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada 2015 (0) 2015
    Conference paper
    Oreste Villa, Daniel R. Johnson, Mike O'Connor, Evgeny Bolotin, David W. Nellans, Justin Luitjens, Nikolai Sakharnykh, Peng Wang, Paulius Micikevicius, Anthony Scudiero, Stephen W. Keckler, William J. Dally.
    Scaling the Power Wall: A Path to Exascale.
    International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2014, New Orleans, LA, USA, November 16-21, 2014 2014 (0) 2014
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