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

Published: 22 June 2023 Publication History
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References

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Fabien, C. et al. Event-based visual sensing for human motion detection and classification at various distances. In Proceedings of Pacific-Rim Symp. Image and Video Technology, 2022.
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Lee, M.K. F. et al. A system-level simulator for RRAM-based neuromorphic computing chips. ACM Trans. Architecture and Code Optimization 15, 4 (2019), 1--24.
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Luo, T. et al. An FPGA-based hardware emulator for neuromorphic chip with RRAM. IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems 39, 22 (2018), 438--450.
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Nambiar, V.P. et al. Energy efficient 0.5 V 4.8 pJ/SOP 0.93 W leakage/core neuromorphic processor design. IEEE Trans. Circuits and Systems II: Express Briefs 68, 9 (2021), 3148--3152.
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Wong, M.M. et al. A 2.1 pJ/SOP 40nm SNN accelerator featuring on-chip transfer learning using Delta STDP. In Proceedings of the IEEE 51st European Solid-State Device Research Conf. 2021.
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Wu, J. et al. Progressive tandem learning for pattern recognition with deep spiking neural networks. IEEE Trans. Pattern Analysis and Machine Intelligence, 44, 11 (2021), 7824--7840.
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Yang, L. et al. Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. Neurocomputing 474 (2022), 128--140.
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Zhang, M. et al. Rectified linear postsynaptic potential function for backpropagation in deep spiking neural networks. IEEE Trans. Neural Networks and Learning Systems 33, 5 (2021), 1947--1958.

Cited By

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  • (2024)Neuromorphic Computing: Innovations and Future ProspectsInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-19435(397-400)Online publication date: 26-Aug-2024
  • (2024)Machine Learning and Deep Learning Algorithms for Green ComputingComputational Intelligence for Green Cloud Computing and Digital Waste Management10.4018/979-8-3693-1552-1.ch001(1-23)Online publication date: 27-Feb-2024
  • (2024)A Survey on Neuromorphic Architectures for Running Artificial Intelligence AlgorithmsElectronics10.3390/electronics1315296313:15(2963)Online publication date: 26-Jul-2024
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Published In

cover image Communications of the ACM
Communications of the ACM  Volume 66, Issue 7
July 2023
126 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/3605915
  • Editor:
  • James Larus
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2023
Published in CACM Volume 66, Issue 7

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  • Singapore Government?s Research, Innovation and Enterprise 2020 Plan (Advanced Manufacturing and Engineering domain) under Grant A1687b0033.

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Cited By

View all
  • (2024)Neuromorphic Computing: Innovations and Future ProspectsInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-19435(397-400)Online publication date: 26-Aug-2024
  • (2024)Machine Learning and Deep Learning Algorithms for Green ComputingComputational Intelligence for Green Cloud Computing and Digital Waste Management10.4018/979-8-3693-1552-1.ch001(1-23)Online publication date: 27-Feb-2024
  • (2024)A Survey on Neuromorphic Architectures for Running Artificial Intelligence AlgorithmsElectronics10.3390/electronics1315296313:15(2963)Online publication date: 26-Jul-2024
  • (2024)Process-Based Life Cycle Assessment of a Vanadium Dioxide Spiking Neuron2024 Electronics Goes Green 2024+ (EGG)10.23919/EGG62010.2024.10631188(1-7)Online publication date: 18-Jun-2024
  • (2024)Green Runner: A Tool for Efficient Deep Learning Component SelectionProceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI10.1145/3644815.3644942(112-117)Online publication date: 14-Apr-2024
  • (2024)Deep Learning Aided Minimum Mean Square Error Estimation of Gaussian Source in Industrial Internet-of-Things NetworksIEEE Transactions on Industrial Cyber-Physical Systems10.1109/TICPS.2024.34208232(185-195)Online publication date: 2024

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