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.
Patent No.:
Date of Patent:
Jul. 28, 2026
Filed:
Dec. 16, 2022
Applicant:
Amazon Technologies, Inc., Seattle, WA (US);
Inventors:
Hongbin Zheng, San Jose, CA (US);
Parivallal Kannan, San Jose, CA (US);
Yunxuan Yu, Sunnyvale, CA (US);
Assignee:
Amazon Technologies, Inc., Seattle, WA (US);
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/06 (2006.01); G06F 8/41 (2018.01); G06F 8/71 (2018.01); G06F 9/32 (2018.01); G06F 9/50 (2006.01); G06F 9/54 (2006.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06N 7/01 (2023.01); G06F 8/65 (2018.01); G06F 11/3604 (2025.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 9/325 (2013.01); G06F 9/544 (2013.01); G06N 7/01 (2023.01); G06F 3/0604 (2013.01); G06F 3/0631 (2013.01); G06F 8/41 (2013.01); G06F 8/42 (2013.01); G06F 8/65 (2013.01); G06F 8/71 (2013.01); G06F 9/5016 (2013.01); G06F 9/5022 (2013.01); G06F 9/5033 (2013.01); G06F 9/54 (2013.01); G06F 11/3608 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01);
Abstract
A technique to perform memory allocation can include obtaining an interference graph of tensors of a neural network model to store in a buffer memory, and determining a set of directed edges and a set of undecided edges in the interference graph. A directed interference graph can be formed from the set of directed edges, and constraints based on the directed interference graph and the set of undecided edges are provided to a constraints solver to assign addresses in the buffer memory for storing the tensors of the neural network model.