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A 1.2nJ/Classification Fully Synthesized All-Digital Asynchronous Wired-Logic Processor Using Quantized Non-Linear Function Blocks in 0.18μm CMOS

Published: 31 January 2023 Publication History

Abstract

A 5.3 times smaller and 2.6 times more energy-efficient all-digital wired-logic processor which infers MNIST with 90.6% accuracy and 1.2nJ of energy consumption has been developed. To improve area efficiency of wired-logic architecture, nonlinear neural network (NNN), which is a neuron and synapse efficient network, and logical compression technology to implement it with area-saving and low-power digital circuits by logic synthesis are proposed, and asynchronous digital combinational circuit DNN hardware has been developed.

References

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R. Mochida et al., IEEE Symposium on VLSI Technology, Dig. Tech. Papers, pp. 175--176, June 2018.
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K. Ando et al., IEEE JSSC, vol. 53, no. 4, pp. 983--994, April 2018.
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F. N. Buhler et al., IEEE Symposium on VLSI Circuits, Dig. Tech. Papers, pp. C30-C31, June 2017.
[4]
A. Kosuge et al., IEEE JETCAS, vol. 11, no. 4, pp. 751--761, Dec. 2021.
[5]
A. Gaier, NeurIPS, arXiv:1906.04358, Dec. 20191
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Kwai, Ding-Ming, et al. Proceedings of the Ninth Asian Test Symposium. IEEE, 2000.

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            cover image ACM Conferences
            ASPDAC '23: Proceedings of the 28th Asia and South Pacific Design Automation Conference
            January 2023
            807 pages
            ISBN:9781450397834
            DOI:10.1145/3566097
            Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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            • IPSJ
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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            Published: 31 January 2023

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            • JST, PRESTO

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            ASPDAC '23
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            ASPDAC '23 Paper Acceptance Rate 102 of 328 submissions, 31%;
            Overall Acceptance Rate 466 of 1,454 submissions, 32%

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