Invention Grant
- Patent Title: Peripheral circuit and system supporting RRAM-based neural network training
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Application No.: US16545932Application Date: 2019-08-20
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Publication No.: US11409438B2Publication Date: 2022-08-09
- Inventor: Wulong Liu , Jun Yao , Yu Wang , Ming Cheng
- Applicant: Huawei Technologies Co., Ltd.
- Applicant Address: CN Shenzhen
- Assignee: Huawei Technologies Co., Ltd.
- Current Assignee: Huawei Technologies Co., Ltd.
- Current Assignee Address: CN Shenzhen
- Agency: Conley Rose, P.C.
- Priority: CN201710459633.2 20170616
- Main IPC: G06F3/06
- IPC: G06F3/06 ; G06F13/12 ; G06N3/08 ; G06N3/00 ; G06N3/04 ; G06N3/063

Abstract:
A peripheral circuit includes a data preparation circuit, configured to selectively import, to a row or column of the resistive random access memory (RRAM) crossbar array based on a first control signal, preprocessed data obtained by first preprocessing on first data that is input into the data preparation circuit, a data selection circuit, configured to selectively export second data from the row or column of the RRAM crossbar array based on a second control signal, and perform second preprocessing on the second data to obtain third data, a data reading circuit, configured to: perform a weight update control operation, and perform a max pooling operation on fourth data that is input into the data reading circuit, to obtain fifth data, and a reverse training computation circuit, configured to calculate an error and a derivative of sixth data that is input into the reverse training computation circuit.
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