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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.:

US 12079711 B1

PDFFull Text
Date of Patent:
Sep. 03, 2024

Filed:

Feb. 26, 2021

Apparatus and mechanism for processing neural network tasks using a single chip package with multiple identical dies

Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Uday Kumar Dasari, Union City, CA (US);

Olivier Temam, Antony, FR;

Ravi Narayanaswami, San Jose, CA (US);

Dong Hyuk Woo, San Jose, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:

Fish & Richardson P.C.

Primary Examiner:

Quoc A Tran

Int. Cl.
CPC ...
G06N 3/063 (2023.01); G06F 7/50 (2006.01); G06F 13/16 (2006.01); G06F 13/40 (2006.01); G06F 15/78 (2006.01); G06F 17/16 (2006.01); G06N 3/04 (2023.01); G06N 3/0464 (2023.01); G06N 20/00 (2019.01); G11C 11/22 (2006.01); G11C 11/54 (2006.01); H01L 25/065 (2023.01); H01L 25/18 (2023.01);
U.S. Cl.
CPC ...
G06N 3/063 (2013.01); G06F 15/7896 (2013.01); G06N 3/04 (2013.01); G06F 7/50 (2013.01); G06F 13/1668 (2013.01); G06F 13/4027 (2013.01); G06F 17/16 (2013.01); G06N 3/0464 (2023.01); G06N 20/00 (2019.01); G11C 11/22 (2013.01); G11C 11/54 (2013.01); H01L 25/0652 (2013.01); H01L 25/0657 (2013.01); H01L 25/18 (2013.01); H01L 2225/06541 (2013.01); H01L 2225/06589 (2013.01);
Abstract

Apparatus and methods for processing neural network models are provided. The apparatus can comprise a plurality of identical artificial intelligence processing dies. Each artificial intelligence processing die among the plurality of identical artificial intelligence processing dies can include at least one inter-die input block and at least one inter-die output block. Each artificial intelligence processing die among the plurality of identical artificial intelligence processing dies is communicatively coupled to another artificial intelligence processing die among the plurality of identical artificial intelligence processing dies by way of one or more communication paths from the at least one inter-die output block of the artificial intelligence processing die to the at least one inter-die input block of the artificial intelligence processing die. Each artificial intelligence processing die among the plurality of identical artificial intelligence processing dies corresponds to at least one layer of a neural network.

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