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HardWare-aware Neural Architecture Search (HW-NAS) has recently gained tremendous attention by automating the design of DNNs deployed in more resource-constrained daily life devices.
Autogan-distiller: Searching to compress generative adversarial networks
Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, and Zhangyang Wang · 2006
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The kendall rank correlation coefficient
Hervé Abdi · 2007
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Greedynas: Towards fast one-shot nas with greedy supernet
Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, and Changshui Zhang · 2008
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Pearson correlation coefficient
Jacob Benesty, Jingdong Chen, Yiteng Huang, and Israel Cohen · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky et al · 2009
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Optimizing fpga-based accelerator design for deep convolutional neural networks
Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, and Jason Cong · 2015
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Exploring iot application using raspberry pi
Cheah Wai Zhao, Jayanand Jegatheesan, and Son Chee Loon · 2015
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Tensorflow: A system for large-scale machine learning
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al · 2016
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Eyeriss: A spatial architecture for energy-efficient dataflow for convolutional neural networks
Yu-Hsin Chen, Joel Emer, and Vivienne Sze · 2016
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Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
Yu-Hsin Chen, Tushar Krishna, Joel Emer, and Vivienne Sze · 2016
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Variation-tolerant architectures for convolutional neural networks in the near threshold voltage regime
Y. Lin, S. Zhang, and N. R. Shanbhag · 2016
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A systematic approach to blocking convolutional neural networks, 2016
Xuan Yang, Jing Pu, Blaine Burton Rister, Nikhil Bhagdikar, Stephen Richardson, Shahar Kvatinsky, Jonathan Ragan-Kelley, Ardavan Pedram, and Mark Horowitz · 2016
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Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks
Y. Chen, T. Krishna, J. Emer, and V. Sze · 2017
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A downsampled variant of imagenet as an alternative to the cifar datasets
Patryk Chrabaszcz, Ilya Loshchilov, and Frank Hutter · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
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Predictivenet: An energy-efficient convolutional neural network via zero prediction
Y. Lin, C. Sakr, Y. Kim, and N. Shanbhag · 2017
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Maximizing cnn accelerator efficiency through resource partitioning
Yongming Shen, Michael Ferdman, and Peter Milder · 2017
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Exploring heterogeneous algorithms for accelerating deep convolutional neural networks on fpgas
Qingcheng Xiao, Yun Liang, Liqiang Lu, Shengen Yan, and Yu-Wing Tai · 2017
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Proxylessnas: Direct neural architecture search on target task and hardware
Han Cai, Ligeng Zhu, and Song Han · 2018
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Shufflenet v2: Practical guidelines for efficient cnn architecture design
Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, and Jian Sun · 2018
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A comparative study of real-time semantic segmentation for autonomous driving
Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Yogamani, Martin Jagersand, and Hong Zhang · 2018
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Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, and Yingyan Lin · 2018
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Dnnbuilder: An automated tool for building high-performance dnn hardware accelerators for fpgas
Xiaofan Zhang, Junsong Wang, Chao Zhu, Yonghua Lin, Jinjun Xiong, Wen-mei Hwu, and Deming Chen · 2018
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Learning transferable architectures for scalable image recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V Le · 2018
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Edge TPU Code Examples, b
Google LLC · 2019
Cited alongside, same era.
Edge TPU FAQ, d
Google LLC · 2019
Cited alongside, same era.
TensorFlow Lite: Deploy machine learning models on mobile and IoT devices, f
Google LLC · 2019
Cited alongside, same era.
Searching for mobilenetv3
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, et al · 2019
Cited alongside, same era.
Timeloop: A systematic approach to dnn accelerator evaluation
Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Stephen W Keckler, and Joel Emer · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Edge TPU Compiler, a
Google LLC · 2020
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Edge TPU Compiler, c
Google LLC · 2020
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Pixel 3, e
Google LLC · 2020
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Tflite python quickstart
Google LLC · 2020
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Nas-bench-nlp: Neural architecture search benchmark for natural language processing, 2020
Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim Fedorov, and Evgeny Burnaev · 2020
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S3nas: Fast npu-aware neural architecture search methodology
Jaeseong Lee, Duseok Kang, and Soonhoi Ha · 2020
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Cited alongside, same era.
sysfs - The filesystem for exporting kernel objects
Patrick Mochel and Mike Murphy · 2019
Cited alongside, same era.
Single-path nas: Designing hardware-efficient convnets in less than 4 hours
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, and Diana Marculescu · 2019
Cited alongside, same era.
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V Le · 2019
Cited alongside, same era.
Mnasnet: Platform-aware neural architecture search for mobile
Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, and Quoc V Le · 2019
Cited alongside, same era.
INA3221 Triple-Channel, High-Side Measurement, Shunt and Bus Voltage Monitor
Texas Instruments Inc · 2019
Cited alongside, same era.
Fastdepth: Fast monocular depth estimation on embedded systems
Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, and Vivienne Sze · 2019
Cited alongside, same era.
Halo: Hardware-aware learning to optimize
Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, and Yingyan Lin · 2020
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Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, and Muhammad Shafique · 2020
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NVIDIA Jetson TX2, a
NVIDIA Inc · 2020
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Raspberry 4
Raspberry Pi Limited · 2020
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AI at the Edge Enabling a New Generation of Apps, Smart Devices, March 2020
Benjamin Ross · 2020
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Fractional skipping: Towards finer-grained dynamic cnn inference
Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, and Yingyan Lin · 2020
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Nas-bench-301 and the case for surrogate benchmarks for neural architecture search
Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, and Frank Hutter · 2020
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Fbnetv2: Differentiable neural architecture search for spatial and channel dimensions
Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, et al · 2020
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Dual dynamic inference: Enabling more efficient, adaptive, and controllable deep inference
Y. Wang, J. Shen, T. K. Hu, P. Xu, T. Nguyen, R. Baraniuk, Z. Wang, and Y. Lin · 2020
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Dual dynamic inference: Enabling more efficient, adaptive, and controllable deep inference
Y. Wang, J. Shen, T. K. Hu, P. Xu, T. Nguyen, R. Baraniuk, Z. Wang, and Y. Lin · 2020
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Xilinx zynq-7000 soc zc706 evaluation kit
Xilinx Inc · 2020
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Mobiledets: Searching for object detection architectures for mobile accelerators
Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, and Bo Chen · 2020
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Nas evaluation is frustratingly hard
Antoine Yang, Pedro M. Esperança, and Fabio M. Carlucci · 2020
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Shiftaddnet: A hardware-inspired deep network
Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, and Yingyan Lin · 2020
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Dna: Differentiable network-accelerator co-search, 2020
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, and Yingyan Lin · 2020
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Smartexchange: Trading higher-cost memory storage/access for lower-cost computation
Y. Zhao, X. Chen, Y. Wang, C. Li, H. You, Y. Fu, Y. Xie, Z. Wang, and Y. Lin · 2020
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Dnn-chip predictor: An analytical performance predictor for dnn accelerators with various dataflows and hardware architectures
Y. Zhao, C. Li, Y. Wang, P. Xu, Y. Zhang, and Y. Lin · 2020
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