Photon two-dimensional convolution acceleration method and system based on time-wavelength interleaving

A two-dimensional convolution and acceleration system technology, applied in optical computing equipment, instruments, biological neural network models, etc., can solve the problems of data redundancy, partial data loss, etc., achieve fast update, no need for dispersion calibration compensation, and simple solution efficient effect

Active Publication Date: 2022-07-29
ZHEJIANG LAB
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is: to overcome the deficiencies of the existing technology, use the microring resonator array including the delay waveguide combined with the delay array to realize the weighting of the two-dimensional con

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  • Photon two-dimensional convolution acceleration method and system based on time-wavelength interleaving
  • Photon two-dimensional convolution acceleration method and system based on time-wavelength interleaving
  • Photon two-dimensional convolution acceleration method and system based on time-wavelength interleaving

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Embodiment Construction

[0037] In view of the deficiencies of the prior art, the idea of ​​the present invention is to realize time-wavelength interleaving of multi-wavelength signals and weighting of convolution kernel matrix coefficients of signals to be convoluted based on two-dimensional micro-ring array combined with two-stage delay. The convolution kernel matrix in the scheme can be flexibly expanded, and the signal processing is real-time and efficient.

[0038] Exemplary embodiments will be described in detail below, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present applic...

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Abstract

The invention discloses a photon two-dimensional convolution acceleration method and system based on time-wavelength interleaving, and the method comprises the steps: firstly, loading a to-be-convolved signal to a multi-wavelength optical signal containing M * N wavelengths, and dividing the multi-wavelength optical signal into M sub-optical signals each containing N wavelengths through a wavelength division demultiplexer; the M sub optical signals are sent to the delay weighted micro-ring array after being sequentially increased with equal interval delays, and coupling coefficients of M * N micro-rings in M delay weighted micro-ring units in the delay weighted micro-ring array are controlled to achieve amplitude weighting of M * N wavelength signals respectively; the M sub-optical signals after amplitude weighting are subjected to wavelength division multiplexing to form a composite optical signal, and then photoelectric conversion is completed to obtain a corresponding characteristic signal. According to the method, light is used as an information carrier, two-dimensional convolution kernel convolution acceleration operation of two-dimensional data can be realized in a single signal period based on two-stage delay and two-dimensional micro-ring array weighting, and the speed and the energy efficiency ratio of convolution operation are greatly improved.

Description

technical field [0001] The invention relates to an artificial intelligence-oriented photonic neural network convolution acceleration method, in particular to a photonic neural network convolution acceleration system, which belongs to the field of photonic computing. Background technique [0002] Artificial intelligence is now widely used in the fields of machine vision, natural language processing, and autonomous driving. Among them, artificial neural networks, one of the important models of artificial intelligence technology, are widely used because of their excellent generalization ability and stability. Because the current electronic chip adopts a classical computer structure that separates the program space and the data space, the data load between the storage unit and the computing unit is unstable and the power consumption is high, which limits the efficiency of network model training. The common solution is to improve the computing efficiency by improving the integrat...

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Application Information

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IPC IPC(8): G06N3/067G06N3/04G06E3/00
CPCG06N3/0675G06E3/005G06E3/008G06N3/045
Inventor 郭清水尹坤刘硕刘士圆应小俊柴田
Owner ZHEJIANG LAB
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