Invention Grant
- Patent Title: Neural network crossbar stack
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Application No.: US16168135Application Date: 2018-10-23
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Publication No.: US11341402B2Publication Date: 2022-05-24
- Inventor: Pierre-Luc Cantin , Olivier Temam
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06N3/04

Abstract:
A circuit for performing neural network computations for a neural network is described. The circuit includes plurality of neural network layers each including a crossbar arrays. The plurality of crossbar arrays are formed in a common substrate in a stacked configuration. Each crossbar array includes a set of crosspoint devices. A respective electrical property of each of the crosspoint devices is adjustable to represent a weight value that is stored for each respective crosspoint device. A processing unit is configured to adjust the respective electrical properties of each of the crosspoint devices by pre-loading each of the crosspoint devices with a tuning signal. A value of the turning signal for each crosspoint device is a function of the weight value represented by each respective crosspoint device.
Public/Granted literature
- US20190065943A1 NEURAL NETWORK CROSSBAR STACK Public/Granted day:2019-02-28
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