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 11074008 B1

PDF
Full Text
Expired
Date of Patent:
Jul. 27, 2021

Filed:

Mar. 29, 2019
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Jawad B. Khan, Portland, OR (US);

Richard Coulson, Portland, OR (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 12/00 (2006.01); G06F 3/06 (2006.01); G06F 12/02 (2006.01); G06F 9/30 (2018.01); G06F 11/10 (2006.01);
U.S. Cl.
CPC ...
G06F 3/0658 (2013.01); G06F 3/0604 (2013.01); G06F 3/0683 (2013.01); G06F 9/30036 (2013.01); G06F 11/10 (2013.01); G06F 11/1048 (2013.01); G06F 12/0207 (2013.01);
Abstract

Technologies for performing a hyper-dimensional operation in a memory of the compute device include a memory and a memory controller. The memory controller is configured to receive a query from a requestor and determine, in response to a receipt of the query, a key hyper-dimensional vector associated with the query, perform a hyper-dimensional operation to determine a reference hyper-dimensional vector associated with a value to the key. The memory controller is further configured to perform a nearest neighbor search by searching columns of a stochastic associative array of a hyper-dimensional vector table in the memory, identify a closest matching row in the stochastic associative array relative to the reference hyper-dimensional vector, wherein the closest matching row indicates a closest matching value hyper-dimensional vector, and output a value associated with the closest matching value hyper-dimensional vector.


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