- Patent Title: Parallel acceleration method for memristor-based neural network, parallel acceleration processor based on memristor-based neural network and parallel acceleration device based on memristor-based neural network
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Application No.: US17049348Application Date: 2020-01-10
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Publication No.: US12079708B2Publication Date: 2024-09-03
- Inventor: Huaqiang Wu , Peng Yao , Bin Gao , He Qian
- Applicant: TSINGHUA UNIVERSITY
- Applicant Address: CN Beijing
- Assignee: TSINGHUA UNIVERSITY
- Current Assignee: TSINGHUA UNIVERSITY
- Current Assignee Address: CN Beijing
- Agency: Loeb & Loeb LLP
- Priority: CN 1911082236.3 2019.11.07
- International Application: PCT/CN2020/071424 2020.01.10
- International Announcement: WO2021/088248A 2021.05.14
- Date entered country: 2020-10-21
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06F9/30 ; G06F9/345 ; G06F9/38

Abstract:
Disclosed are a parallel acceleration method for a memristor-based neural network, a parallel acceleration processor based on a memristor-based neural network and a parallel acceleration device based on a memristor-based neural network. The neural network includes a plurality of functional layers sequentially provided, wherein the plurality of functional layers include a first functional layer and a second functional layer following the first functional layer, the first functional layer includes a plurality of first memristor arrays in parallel, and the plurality of first memristor arrays are configured to execute an operation of the first functional layer in parallel and to output a result of the operation to the second functional layer. The parallel acceleration method includes: executing the operation of the first functional layer in parallel via the plurality of first memristor arrays and outputting the result of the operation to the second functional layer.
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