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ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference


Sep 13, 2022
Jing Gong, Hassaan Saadat, Hasindu Gamaarachchi, Haris Javaid, Xiaobo Sharon Hu, Sri Parameswaran

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* 14 pages, 12 figures 

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Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous?


Jul 15, 2022
Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi

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SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators


Feb 17, 2022
Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi

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Deep Random Forest with Ferroelectric Analog Content Addressable Memory


Oct 06, 2021
Xunzhao Yin, Franz Müller, Ann Franchesca Laguna, Chao Li, Wenwen Ye, Qingrong Huang, Qinming Zhang, Zhiguo Shi, Maximilian Lederer, Nellie Laleni, Shan Deng, Zijian Zhao, Michael Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni

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* 44 pages, 16 figures 

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RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search


Sep 13, 2021
Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi

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Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search


Jul 06, 2021
Zheyu Yan, Da-Cheng Juan, Xiaobo Sharon Hu, Yiyu Shi

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Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators


Oct 31, 2019
Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi

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* 10 pages, 7 figures 

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Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs


May 29, 2017
Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu

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