Towards a Robust Multiply-Accumulate Cell in Photonics using Phase-Change Materials

被引:1
作者
Cardoso, Raphael [1 ]
Zrounba, Clement [1 ]
Abdalla, Mohab [1 ,2 ]
Jimenez, Paul [1 ]
de Queiroz, Mauricio Gomes [1 ]
Charbonnier, Benoit [3 ]
Pavanello, Fabio [1 ]
O'Connor, Ian [1 ]
Le Beux, Sebastien [4 ]
机构
[1] Univ Lyon, CNRS, Ecole Centrale Lyon, INSA Lyon,CPE Lyon,INL,UMR5270, Ecully, France
[2] RMIT Univ, Sch Engn, Melbourne, Vic 3000, Australia
[3] CEA LETI Grenoble, Grenoble, France
[4] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada
来源
2023 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE | 2023年
关键词
photonic computing; phase-change memories; stochastic computing; computation-in-memory;
D O I
10.23919/DATE56975.2023.10137313
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we propose a novel approach to multiply-accumulate (MAC) operations in photonics. This approach is based on stochastic computing and on the dynamic behavior of phase-change materials (PCMs), leading to the unique characteristic of automatically storing the result in nonvolatile memory. We demonstrate that, even with perfect look-up tables, the standard approach to PCM scalar multiplication is highly susceptible to perturbations as small as 0.1% of the input power, causing repetitive peaks of 600% relative error. In the same operating conditions, the proposed method achieves an average of 7x improvement in precision.
引用
收藏
页数:2
相关论文
共 6 条
[1]   Survey of Stochastic Computing [J].
Alaghi, Armin ;
Hayes, John P. .
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2013, 12
[2]   Parallel convolutional processing using an integrated photonic tensor core [J].
Feldmann, J. ;
Youngblood, N. ;
Karpov, M. ;
Gehring, H. ;
Li, X. ;
Stappers, M. ;
Le Gallo, M. ;
Fu, X. ;
Lukashchuk, A. ;
Raja, A. S. ;
Liu, J. ;
Wright, C. D. ;
Sebastian, A. ;
Kippenberg, T. J. ;
Pernice, W. H. P. ;
Bhaskaran, H. .
NATURE, 2021, 589 (7840) :52-+
[3]   Calculating with light using a chip-scale all-optical abacus [J].
Feldmann, J. ;
Stegmaier, M. ;
Gruhler, N. ;
Rios, C. ;
Bhaskaran, H. ;
Wright, C. D. ;
Pernice, W. H. P. .
NATURE COMMUNICATIONS, 2017, 8
[4]  
Peserico N, 2022, Arxiv, DOI [arXiv:2211.01476, DOI 10.1109/JLT.2023.3269957]
[5]   Programmable chalcogenide-based all-optical deep neural networks [J].
Teo, Ting Yu ;
Ma, Xiaoxuan ;
Pastor, Ernest ;
Wang, Hao ;
George, Jonathan K. ;
Yang, Joel K. W. ;
Wall, Simon ;
Miscuglio, Mario ;
Simpson, Robert E. ;
Sorger, Volker J. .
NANOPHOTONICS, 2022, 11 (17) :4073-4088
[6]   Programmable phase-change metasurfaces on waveguides for multimode photonic convolutional neural network [J].
Wu, Changming ;
Yu, Heshan ;
Lee, Seokhyeong ;
Peng, Ruoming ;
Takeuchi, Ichiro ;
Li, Mo .
NATURE COMMUNICATIONS, 2021, 12 (01)