SLIT: An Energy-Efficient Reconfigurable Hardware Architecture for Deep Convolutional Neural Networks

IEICE Transactions on Electronics ◽

10.1587/transele.2020cdp0002 ◽

2020 ◽

Author(s):

Thi DIEM TRAN ◽

Yasuhiko NAKASHIMA

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Reconfigurable Hardware ◽

Hardware Architecture ◽

Deep Convolutional Neural Networks ◽

Reconfigurable Hardware Architecture

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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 ◽

Cited By ~ 2

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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14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks

2016 IEEE International Solid-State Circuits Conference (ISSCC) ◽

10.1109/isscc.2016.7418007 ◽

2016 ◽

Cited By ~ 263

Author(s):

Yu-Hsin Chen ◽

Tushar Krishna ◽

Joel Emer ◽

Vivienne Sze

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Deep Convolutional Neural Networks

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Chain-NN: An energy-efficient 1D chain architecture for accelerating deep convolutional neural networks

Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 ◽

10.23919/date.2017.7927142 ◽

2017 ◽

Cited By ~ 17

Author(s):

Shihao Wang ◽

Dajiang Zhou ◽

Xushen Han ◽

Takeshi Yoshimura

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Deep Convolutional Neural Networks ◽

Chain Architecture ◽

1D Chain

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Reconfigurable Hardware Architecture of a Shape Recognition System Based on Specialized Tiny Neural Networks With Online Training

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2009.2022076 ◽

2009 ◽

Vol 56 (8) ◽

pp. 3253-3263 ◽

Cited By ~ 18

Author(s):

F. Moreno ◽

J. Alarcon ◽

R. Salvador ◽

T. Riesgo

Keyword(s):

Neural Networks ◽

Shape Recognition ◽

Online Training ◽

Recognition System ◽

Reconfigurable Hardware ◽

Hardware Architecture ◽

Reconfigurable Hardware Architecture

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An energy-efficient deep convolutional neural networks coprocessor for multi-object detection

Microelectronics Journal ◽

10.1016/j.mejo.2020.104737 ◽

2020 ◽

Vol 98 ◽

pp. 104737

Author(s):

Yuancong Wu ◽

J.J. Wang ◽

Kun Qian ◽

Yanchen Liu ◽

Rui Guo ◽

...

Keyword(s):

Neural Networks ◽

Object Detection ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Deep Convolutional Neural Networks

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Energy efficient techniques using FFT for deep convolutional neural networks

2016 International Conference on Advanced Technologies for Communications (ATC) ◽

10.1109/atc.2016.7764779 ◽

2016 ◽

Cited By ~ 2

Author(s):

Nhan Nguyen-Thanh ◽

Han Le-Duc ◽

Duc-Tuyen Ta ◽

Van-Tam Nguyen

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Deep Convolutional Neural Networks

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An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing

2018 19th International Symposium on Quality Electronic Design (ISQED) ◽

10.1109/isqed.2018.8357306 ◽

2018 ◽

Cited By ~ 4

Author(s):

Xiaolong Ma ◽

Yipeng Zhang ◽

Geng Yuan ◽

Ao Ren ◽

Zhe Li ◽

...

Keyword(s):

Neural Networks ◽

Domain Wall ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Efficient Design ◽

Deep Convolutional Neural Networks ◽

Stochastic Computing ◽

Energy Efficient Design ◽

Domain Wall Memory

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An Energy-Efficient and Flexible Accelerator based on Reconfigurable Computing for Multiple Deep Convolutional Neural Networks

2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT) ◽

10.1109/icsict.2018.8565823 ◽

2018 ◽

Cited By ~ 2

Author(s):

Chen Yang ◽

HaiBo Zhang ◽

XiaoLi Wang ◽

Li Geng

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Reconfigurable Computing ◽

Energy Efficient ◽

Deep Convolutional Neural Networks

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Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks

IEEE Journal of Solid-State Circuits ◽

10.1109/jssc.2016.2616357 ◽

2017 ◽

Vol 52 (1) ◽

pp. 127-138 ◽

Cited By ~ 646

Author(s):

Yu-Hsin Chen ◽

Tushar Krishna ◽

Joel S. Emer ◽

Vivienne Sze

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Deep Convolutional Neural Networks

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Implementation of energy‐efficient fast convolution algorithm for deep convolutional neural networks based on FPGA

Electronics Letters ◽

10.1049/el.2019.4188 ◽

2020 ◽

Vol 56 (10) ◽

pp. 485-488

Author(s):

W.‐J. Li ◽

S.‐J. Ruan ◽

D.‐S. Yang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Energy Efficient ◽

Deep Convolutional Neural Networks ◽

Fast Convolution ◽

Convolution Algorithm

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