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Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization


Feb 13, 2020
Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra

* 12 pages, 10 figures, 6 tables 

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Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks


Feb 10, 2020
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi

* Accepted by DAC'20 

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Rethinking Machine Learning Development and Deployment for Edge Devices


Jun 20, 2018
Liangzhen Lai, Naveen Suda


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Federated Learning with Non-IID Data


Jun 02, 2018
Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra


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Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks


May 30, 2018
Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh


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Hello Edge: Keyword Spotting on Microcontrollers


Feb 14, 2018
Yundong Zhang, Naveen Suda, Liangzhen Lai, Vikas Chandra

* Code available in github at https://github.com/ARM-software/ML-KWS-for-MCU 

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Not All Ops Are Created Equal!


Jan 29, 2018
Liangzhen Lai, Naveen Suda, Vikas Chandra

* Accepted at SysML Conference 2018 

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CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs


Jan 19, 2018
Liangzhen Lai, Naveen Suda, Vikas Chandra


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PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training


Jan 12, 2018
Meng Li, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan

* 20 pages, 25 figures 

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Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations


Mar 08, 2017
Liangzhen Lai, Naveen Suda, Vikas Chandra


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