Geodesic
Efficient Neural Network Accelerators with Optical Computing and Communication
Computer Science and Information Systems, Tome 20 (2023) no. 1.

Voir la notice de l'article provenant de la source Computer Science and Information Systems website

Conventional electronic Artificial Neural Networks (ANNs) accelerators focus on architecture design and numerical computation optimization to improve the training efficiency. However, these approaches have recently encountered bottlenecks in terms of energy efficiency and computing performance, which leads to an increase interest in photonic accelerator. Photonic architectures with low energy consumption, high transmission speed and high bandwidth have been considered as an important role for generation of computing architectures. In this paper, to provide a better understanding of optical technology used in ANN acceleration, we present a comprehensive review for the efficient photonic computing and communication in ANN accelerators. The related photonic devices are investigated in terms of the application in ANNs acceleration, and a classification of existing solutions is proposed that are categorized into optical computing acceleration and optical communication acceleration according to photonic effects and photonic architectures. Moreover, we discuss the challenges for these photonic neural network acceleration approaches to highlight the most promising future research opportunities in this field.
Keywords: Optical neural networks, Optical interconnection networks, Neural network accelerator 
@article{CSIS_2023_20_1_a26,
     author = {Chengpeng Xia and Yawen Chen and Haibo Zhang and Hao Zhang and Fei Dai and Jigang Wu},
     title = {Efficient {Neural} {Network} {Accelerators} with {Optical} {Computing} and {Communication}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {20},
     number = {1},
     year = {2023},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2023_20_1_a26/}
}
TY  - JOUR
AU  - Chengpeng Xia
AU  - Yawen Chen
AU  - Haibo Zhang
AU  - Hao Zhang
AU  - Fei Dai
AU  - Jigang Wu
TI  - Efficient Neural Network Accelerators with Optical Computing and Communication
JO  - Computer Science and Information Systems
PY  - 2023
VL  - 20
IS  - 1
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/CSIS_2023_20_1_a26/
ID  - CSIS_2023_20_1_a26
ER  - 
%0 Journal Article
%A Chengpeng Xia
%A Yawen Chen
%A Haibo Zhang
%A Hao Zhang
%A Fei Dai
%A Jigang Wu
%T Efficient Neural Network Accelerators with Optical Computing and Communication
%J Computer Science and Information Systems
%D 2023
%V 20
%N 1
%I mathdoc
%U http://geodesic.mathdoc.fr/item/CSIS_2023_20_1_a26/
%F CSIS_2023_20_1_a26
Chengpeng Xia; Yawen Chen; Haibo Zhang; Hao Zhang; Fei Dai; Jigang Wu. Efficient Neural Network Accelerators with Optical Computing and Communication. Computer Science and Information Systems, Tome 20 (2023) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2023_20_1_a26/