Invention Grant
- Patent Title: Analog neural memory system for deep learning neural network comprising multiple vector-by-matrix multiplication arrays and shared components
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Application No.: US16746837Application Date: 2020-01-18
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Publication No.: US10896368B2Publication Date: 2021-01-19
- Inventor: Hieu Van Tran , Thuan Vu , Stanley Hong , Anh Ly
- Applicant: Silicon Storage Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Silicon Storage Technology, Inc.
- Current Assignee: Silicon Storage Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: DLA Piper LLP US
- Main IPC: G06F17/16
- IPC: G06F17/16 ; G06N3/04 ; G06N3/063 ; G11C16/04 ; G11C16/10 ; G11C16/34 ; G11C16/14 ; G11C16/30 ; G11C16/08 ; G06N3/08

Abstract:
Numerous embodiments are disclosed for an analog neuromorphic memory system for use in a deep learning neural network. In one embodiment, the analog neuromorphic memory system comprises a plurality of vector-by-matrix multiplication systems, each vector-by-matrix multiplication system comprising an array of memory cells, a low voltage row decoder, a high voltage row decoder, and a low voltage column decoder; a plurality of output blocks, each output block providing an output in response to at least one of the plurality of vector-by-matrix multiplication systems; and a shared verify block configured to concurrently perform a verify operation after a program operation on two or more of the plurality of vector-by-matrix systems.
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