TFE: Energy-efficient Transferred Filter-based Engine to Compress and Accelerate Convolutional Neural Networks

2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) ◽

10.1109/micro50266.2020.00067 ◽

2020 ◽

Author(s):

Huiyu Mo ◽

Leibo Liu ◽

Wenjing Hu ◽

Wenping Zhu ◽

Qiang Li ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient

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AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks

Proceedings of the 2020 on Great Lakes Symposium on VLSI ◽

10.1145/3386263.3407595 ◽

2020 ◽

Author(s):

Dongning Ma ◽

Xunzhao Yin ◽

Michael Niemier ◽

X. Sharon Hu ◽

Xun Jiao

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Approximate Computation

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COSY: An Energy-Efficient Hardware Architecture for Deep Convolutional Neural Networks Based on Systolic Array

2017 IEEE 23rd International Conference on Parallel and Distributed Systems (ICPADS) ◽

10.1109/icpads.2017.00034 ◽

2017 ◽

Author(s):

Chen Xin ◽

Qiang Chen ◽

Miren Tian ◽

Mohan Ji ◽

Chenglong Zou ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Systolic Array ◽

Energy Efficient ◽

Hardware Architecture ◽

Deep Convolutional Neural Networks

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Energy-Efficient Convolutional Neural Networks with Deterministic Bit-Stream Processing

2019 Design, Automation & Test in Europe Conference & Exhibition (DATE) ◽

10.23919/date.2019.8714937 ◽

2019 ◽

Author(s):

S. Rasoul Faraji ◽

M. Hassan Najafi ◽

Bingzhe Li ◽

David J. Lilja ◽

Kia Bazargan

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Stream Processing ◽

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A Heterogeneous and Reconfigurable Embedded Architecture for Energy-Efficient Execution of Convolutional Neural Networks

Architecture of Computing Systems – ARCS 2019 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18656-2_20 ◽

2019 ◽

pp. 267-280

Author(s):

Konstantin Lübeck ◽

Oliver Bringmann

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Embedded Architecture ◽

Efficient Execution

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A Configurable and Versatile Architecture for Low Power, Energy Efficient Hardware Acceleration of Convolutional Neural Networks

2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC) ◽

10.1109/norchip.2019.8906950 ◽

2019 ◽

Author(s):

Steinar Thune Christensen ◽

Snorre Aunet ◽

Omer Qadir

Keyword(s):

Neural Networks ◽

Low Power ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Hardware Acceleration

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Energy-Efficient Convolutional Neural Networks via Recurrent Data Reuse

2019 Design, Automation & Test in Europe Conference & Exhibition (DATE) ◽

10.23919/date.2019.8714880 ◽

2019 ◽

Author(s):

Luca Mocerino ◽

Valerio Tenace ◽

Andrea Calimera

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

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Energy Efficient Convolutional Neural Networks for EEG Artifact Detection

2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) ◽

10.1109/biocas.2018.8584791 ◽

2018 ◽

Author(s):

Mohit Khatwani ◽

M. Hosseini ◽

H. Paneliya ◽

Tinoosh Mohsenin ◽

W. David Hairston ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Artifact Detection

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Gabor filter assisted energy efficient fast learning Convolutional Neural Networks

2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) ◽

10.1109/islped.2017.8009202 ◽

2017 ◽

Author(s):

Syed Shakib Sarwar ◽

Priyadarshini Panda ◽

Kaushik Roy

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Gabor Filter ◽

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An Energy-Efficient Architecture for Binary Weight Convolutional Neural Networks

IEEE Transactions on Very Large Scale Integration (VLSI) Systems ◽

10.1109/tvlsi.2017.2767624 ◽

2018 ◽

Vol 26 (2) ◽

pp. 280-293 ◽

Author(s):

Yizhi Wang ◽

Jun Lin ◽

Zhongfeng Wang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Energy Efficient Architecture ◽

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Approximate SRAM for Energy-Efficient, Privacy-Preserving Convolutional Neural Networks

2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) ◽

10.1109/isvlsi.2017.117 ◽

2017 ◽

Author(s):

Lita Yang ◽

Boris Murmann

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Privacy Preserving

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