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

被引:7
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
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
收藏
页码:52 / 57
页数:6
相关论文
共 8 条
  • [1] Fabien C., 2022, P PACIFIC RIM S IMAG
  • [2] A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips
    Lee, Matthew Kay Fei
    Cui, Yingnan
    Somu, Thannirmalai
    Luo, Tao
    Zhou, Jun
    Tang, Wai Teng
    Wong, Weng-Fai
    Goh, Rick Stow Mong
    [J]. ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2019, 15 (04)
  • [3] An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM
    Luo, Tao
    Wang, Xuan
    Qu, Chuping
    Lee, Matthew Kay Fei
    Tang, Wai Teng
    Wong, Weng-Fai
    Goh, Rick Siow Mong
    [J]. 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
    Nambiar, Vishnu P.
    Pu, Junran
    Lee, Yun Kwan
    Mani, Aarthy
    Koh, Eng Kiat
    Wong, Ming Ming
    Li, Fei
    Goh, Wang Ling
    Anh Tuan Do
    [J]. 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
    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.
    [J]. 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
    Wu, Jibin
    Xu, Chenglin
    Han, Xiao
    Zhou, Daquan
    Zhang, Malu
    Li, Haizhou
    Tan, Kay Chen
    [J]. 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
    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
    [J]. NEUROCOMPUTING, 2022, 474 : 128 - 140
  • [8] Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks
    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
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) : 1947 - 1958