Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing

被引：12

作者：

Luo, Tao ^{[1
]}

Wong, Weng-Fai ^{[2
]}

Goh, Rick Siow Mong ^{[1
]}

Do, Anh Tuan ^{[3
]}

Chen, Zhixian ^{[3
]}

Li, Haizhou ^{[2
]}

Jiang, Wenyu ^{[4
]}

Yau, Weiyun ^{[4
]}

机构：

[1] ASTAR, Inst High Performance Comp IHPC, Singapore, Singapore

[2] Natl Univ Singapore NUS, Sch Comp SoC, Singapore, Singapore

[3] ASTAR, Inst Microelect IME, Singapore, Singapore

[4] ASTAR, Inst Infocomm Res I2R, Singapore, Singapore

来源：

COMMUNICATIONS OF THE ACM | 2023年 / 66卷 / 07期

关键词：

D O I：

10.1145/3588591

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

[No abstract available]

引用

页码：52 / 57

页数：6

共 8 条

[1]

Fabien C., 2022, P PACIFIC RIM S IMAG

[2] A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips [J].

Lee, Matthew Kay Fei ;

Cui, Yingnan ;

Somu, Thannirmalai ;

Luo, Tao ;

Zhou, Jun ;

Tang, Wai Teng ;

Wong, Weng-Fai ;

Goh, Rick Stow Mong .

ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2019, 15 (04)

[3] An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM [J].

Luo, Tao ;

Wang, Xuan ;

Qu, Chuping ;

Lee, Matthew Kay Fei ;

Tang, Wai Teng ;

Wong, Weng-Fai ;

Goh, Rick Siow Mong .

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 39 (02) :438-450

[4] Energy Efficient 0.5V 4.8pJ/SOP 0.93μW Leakage/Core Neuromorphic Processor Design [J].

Nambiar, Vishnu P. ;

Pu, Junran ;

Lee, Yun Kwan ;

Mani, Aarthy ;

Koh, Eng Kiat ;

Wong, Ming Ming ;

Li, Fei ;

Goh, Wang Ling ;

Anh Tuan Do .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (09) :3148-3152

[5] A 2.1 pJ/SOP 40nm SNN Accelerator Featuring On-chip Transfer Learning using Delta STDP [J].

Wong, M. M. ;

Shrestha, S. B. ;

Nambiar, V. P. ;

Mani, A. ;

Lee, Y. K. ;

Koh, E. K. ;

Jiang, W. ;

Chai, K. T. C. ;

Do, A. T. .

IEEE 51ST EUROPEAN SOLID-STATE DEVICE RESEARCH CONFERENCE (ESSDERC 2021), 2021, :95-98

[6] Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks [J].

Wu, Jibin ;

Xu, Chenglin ;

Han, Xiao ;

Zhou, Daquan ;

Zhang, Malu ;

Li, Haizhou ;

Tan, Kay Chen .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 44 (11) :7824-7840

[7] Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency [J].

Yang, Liwei ;

Zhang, Huaipeng ;

Luo, Tao ;

Qu, Chuping ;

Aung, Myat Thu Linn ;

Cui, Yingnan ;

Zhou, Jun ;

Wong, Ming Ming ;

Pu, Junran ;

Do, Anh Tuan ;

Goh, Rick Siow Mong ;

Wong, Weng Fai .

NEUROCOMPUTING, 2022, 474 :128-140

[8] Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks [J].

Zhang, Malu ;

Wang, Jiadong ;

Wu, Jibin ;

Belatreche, Ammar ;

Amornpaisannon, Burin ;

Zhang, Zhixuan ;

Miriyala, Venkata Pavan Kumar ;

Qu, Hong ;

Chua, Yansong ;

Carlson, Trevor E. ;

Li, Haizhou .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :1947-1958

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