Si microring resonator crossbar array for on-chip inference and training of optical neural network

Ohno, Shuhei; Toprasertpong, Kasidit; Takagi, Shinichi; Takenaka, Mitsuru

doi:10.48550/arxiv.2106.04351

Cited by 1 publication

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“…To sum up, MRRs and MZIs are designed as switches, filters and modulators in optical communication and computing. Compared to the MZI, since the dropped output of the MRR can be directly monitored at each wavelength of the WDM signal, it is more straightforward to set the elements of weight than using meshed-MZI [50]. Photodetectors Photodetectors are commonly used to detect optical signals and convert optical signals into electrical signals.…”

Section: Photonic Devicesmentioning

confidence: 99%

Efficient neural network accelerators with optical computing and communication

et al. 2023

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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.

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Section: Photonic Devicesmentioning

confidence: 99%