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Optoelectronic computing systems

A computing system, optoelectronic technology, applied in the direction of optical computing equipment, instruments, biological neural network models, etc.

Pending Publication Date: 2021-10-12
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The use of optical signals in computing platforms has been more restricted

Method used

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  • Optoelectronic computing systems
  • Optoelectronic computing systems
  • Optoelectronic computing systems

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0863] Embodiment 1: a kind of system, comprises:

[0864] a storage unit configured to store a data set and a plurality of neural network weights;

[0865] a digital-to-analog converter (DAC) unit configured to generate a plurality of modulator control signals, and generate a plurality of weight control signals;

[0866] Light processors, including:

[0867] a laser unit configured to generate a plurality of light outputs;

[0868] a plurality of optical modulators, coupled to the laser unit and the DAC unit, the plurality of optical modulators configured to generate an optical input vector by modulating a plurality of optical outputs generated by the laser unit based on a plurality of modulator control signals;

[0869] an optical matrix multiplication unit coupled to the plurality of optical modulators and the DAC unit, the optical matrix multiplication unit configured to convert an optical input vector into an optical output vector based on a plurality of weight control ...

Embodiment 2

[0875] Embodiment 2: The system of Embodiment 1, wherein the operations further comprise:

[0876] Obtaining a first plurality of digital light outputs corresponding to the light output vector of the optical matrix multiplication unit from the ADC unit, the first plurality of digital light outputs forming a first digital output vector;

[0877] performing a nonlinear transformation on the first digital output vector to produce a first transformed digital output vector; and

[0878] A first transformed digital output vector is stored in a storage unit.

Embodiment 3

[0879] Embodiment 3: The system of Embodiment 2, wherein the system has a first cycle period defined as the step of storing the input data set and the first plurality of neural network weights in the storage unit is the same as storing the first plurality of neural network weights in the storage unit the time elapsed between the steps of transforming the digital output vector, and

[0880] Wherein the first cycle period is less than or equal to 1 ns.

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Abstract

An optoelectronic computing system comprises: a first semiconductor die comprising a photonic integrated circuit (PIC) and a second semiconductor die comprising an electronic integrated circuit (EIC). The PIC comprises optical waveguides, wherein input values are encoded on respective optical signals carried by the optical waveguides. The PIC comprises an optical copying distribution network comprising optical splitters, and comprises an array of optoelectronic circuitry sections. Each optoelectronic circuitry section receives an optical wave from one of the output ports of the optical copying distribution network, and each optoelectronic circuitry section includes: at least one photodetector detecting at least one optical wave from the optoelectronic operation. The EIC comprises: electrical input ports receiving respective electrical values. The first semiconductor die and the second semiconductor die are electrically coupled in a controlled collapsed chip connection, wherein an electrical output port of the PIC is connected to one of the electrical input ports of the EIC.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to PCT Application PCT / US2020 / 023674, filed March 19, 2020, and US Provisional Patent Application 63 / 061,995, filed August 6, 2020. The entire disclosure of the above application is hereby incorporated by reference. technical field [0003] The present disclosure relates to an optoelectronic computing system. Background technique [0004] Neuromorphic computing is a method in the field of electronics that approximates the operation of the brain. A prominent approach to neuromorphic computing is the artificial neural network (ANN), which is a collection of artificial neurons that are interconnected in specific ways to process information in a manner similar to how the brain functions. Artificial neural networks have found use in a variety of applications, including artificial intelligence, speech recognition, text recognition, natural language processing, and various forms of pattern r...

Claims

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Application Information

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IPC IPC(8): G06N3/067G06N3/04G06N3/08G06E3/00
CPCG06N3/0675G06N3/08G06E3/008G06N3/045
Inventor 孟怀宇Y.徐G.亨德里L.欧J.邓R.加格农卢正观M.斯坦曼M.埃文斯吴建华沈亦晨
Owner ライテリジェンスインコーポレイテッド