The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 20, 2024

Filed:

Nov. 28, 2019
Applicant:

Shanghai Cambricon Information Technology Co., Ltd., Pudong New Area, CN;

Inventors:

Zidong Du, Pudong New Area, CN;

Xuda Zhou, Pudong New Area, CN;

Shaoli Liu, Pudong New Area, CN;

Tianshi Chen, Pudong New Area, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/082 (2023.01); G06F 1/3296 (2019.01); G06F 9/38 (2018.01); G06F 13/16 (2006.01); G06N 3/04 (2023.01); G06N 3/084 (2023.01); G06F 16/28 (2019.01); G06N 3/063 (2023.01); G06F 12/0875 (2016.01); G06N 3/044 (2023.01); G06N 3/048 (2023.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G06F 1/3296 (2013.01); G06F 9/3877 (2013.01); G06F 12/0875 (2013.01); G06F 13/16 (2013.01); G06F 16/285 (2019.01); G06N 3/04 (2013.01); G06N 3/044 (2023.01); G06N 3/048 (2023.01); G06N 3/063 (2013.01); G06N 3/084 (2013.01); G06F 2212/452 (2013.01); G06F 2213/0026 (2013.01);
Abstract

The present disclosure provides a processing device including: a coarse-grained pruning unit configured to perform coarse-grained pruning on a weight of a neural network to obtain a pruned weight, an operation unit configured to train the neural network according to the pruned weight. The coarse-grained pruning unit is specifically configured to select M weights from the weights of the neural network through a sliding window, and when the M weights meet a preset condition, all or part of the M weights may be set to 0. The processing device can reduce the memory access while reducing the amount of computation, thereby obtaining an acceleration ratio and reducing energy consumption.


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