An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory

IEEE Transactions on Circuits and Systems I Regular Papers ◽

10.1109/tcsi.2021.3134313 ◽

2022 ◽

pp. 1-14

Author(s):

T. Patrick Xiao ◽

Ben Feinberg ◽

Christopher H. Bennett ◽

Vineet Agrawal ◽

Prashant Saxena ◽

...

Keyword(s):

Neural Network ◽

Energy Efficient ◽

Network Inference ◽

Inference Engine ◽

Analog Memory

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Accumulation-Aware Shift and Difference-Add Booth Multiplier for Energy-Efficient Convolutional Neural Network Inference

Circuits Systems and Signal Processing ◽

10.1007/s00034-021-01751-4 ◽

2021 ◽

Author(s):

Zhong-Da Wu ◽

Shanq-Jang Ruan ◽

Bai-Kui Yan

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Energy Efficient ◽

Network Inference ◽

Booth Multiplier

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FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

IEEE Internet of Things Journal ◽

10.1109/jiot.2020.2976702 ◽

2020 ◽

Vol 7 (5) ◽

pp. 4403-4417 ◽

Cited By ~ 5

Author(s):

Xiaying Wang ◽

Michele Magno ◽

Lukas Cavigelli ◽

Luca Benini

Keyword(s):

Neural Network ◽

Internet Of Things ◽

Open Source ◽

Energy Efficient ◽

Network Inference ◽

The Internet ◽

The Internet Of Things

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Partial discharge pattern classification using composite versions of probabilistic neural network inference engine

Expert Systems with Applications ◽

10.1016/j.eswa.2007.02.005 ◽

2008 ◽

Vol 34 (3) ◽

pp. 1938-1947 ◽

Cited By ~ 27

Author(s):

B. Karthikeyan ◽

S. Gopal ◽

S. Venkatesh

Keyword(s):

Neural Network ◽

Pattern Classification ◽

Network Inference ◽

Probabilistic Neural Network ◽

Partial Discharge ◽

Inference Engine ◽

Discharge Pattern

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SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM

10.1109/dac18074.2021.9586332 ◽

2021 ◽

Author(s):

Rachmad Vidya Wicaksana Putra ◽

Muhammad Abdullah Hanif ◽

Muhammad Shafique

Keyword(s):

Neural Network ◽

Energy Efficient ◽

Network Inference ◽

Spiking Neural Network

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PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones

2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) ◽

10.23919/date48585.2020.9116236 ◽

2020 ◽

Author(s):

Gang Chen ◽

Shengyu He ◽

Haitao Meng ◽

Kai Huang

Keyword(s):

Neural Network ◽

Mobile Phones ◽

Network Inference ◽

Inference Engine ◽

Binary Neural Network

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Always-ON visual node with a hardware-software event-based binarized neural network inference engine

Proceedings of the 15th ACM International Conference on Computing Frontiers - CF '18 ◽

10.1145/3203217.3204463 ◽

2018 ◽

Cited By ~ 5

Author(s):

Manuele Rusci ◽

Davide Rossi ◽

Eric Flamand ◽

Massimo Gottardi ◽

Elisabetta Farella ◽

...

Keyword(s):

Neural Network ◽

Network Inference ◽

Inference Engine ◽

Event Based

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Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays ◽

10.1145/3289602.3293990 ◽

2019 ◽

Cited By ~ 3

Author(s):

Cheng Fu ◽

Shilin Zhu ◽

Hao Su ◽

Ching-En Lee ◽

Jishen Zhao

Keyword(s):

Neural Network ◽

Energy Efficient ◽

Network Inference

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SIES: A Novel Implementation of Spiking Convolutional Neural Network Inference Engine on Field-Programmable Gate Array

Journal of Computer Science and Technology ◽

10.1007/s11390-020-9686-z ◽

2020 ◽

Vol 35 (2) ◽

pp. 475-489

Author(s):

Shu-Quan Wang ◽

Lei Wang ◽

Yu Deng ◽

Zhi-Jie Yang ◽

Sha-Sha Guo ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Field Programmable Gate Array ◽

Network Inference ◽

Inference Engine ◽

Field Programmable ◽

Gate Array

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Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators

IEEE Transactions on Circuits and Systems I Regular Papers ◽

10.1109/tcsi.2020.3019460 ◽

2020 ◽

pp. 1-14

Author(s):

Zois-Gerasimos Tasoulas ◽

Georgios Zervakis ◽

Iraklis Anagnostopoulos ◽

Hussam Amrouch ◽

Jorg Henkel

Keyword(s):

Neural Network ◽

Energy Efficient ◽

Network Inference

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An Energy-Efficient Deep Convolutional Neural Network Inference Processor With Enhanced Output Stationary Dataflow in 65-nm CMOS

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

10.1109/tvlsi.2019.2935251 ◽

2020 ◽

Vol 28 (1) ◽

pp. 87-100 ◽

Cited By ~ 2

Author(s):

Jaehyeong Sim ◽

Somin Lee ◽

Lee-Sup Kim

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Energy Efficient ◽

Network Inference ◽

Deep Convolutional Neural Network

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