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:
Jul. 01, 2025

Filed:

Sep. 06, 2023
Applicant:

Luminous Computing, Inc., Santa Clara, CA (US);

Inventors:

Dave Baker, Santa Clara, CA (US);

Anahita Shayesteh, Santa Clara, CA (US);

Mitchell A. Nahmias, Santa Clara, CA (US);

Vishal Kasliwal, Santa Clara, CA (US);

Assignee:

Luminous Computing, Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/06 (2006.01);
U.S. Cl.
CPC ...
G06F 3/0659 (2013.01); G06F 3/0611 (2013.01); G06F 3/0683 (2013.01);
Abstract

A computer system comprises one or more processing units and a plurality of memory locations interconnected by a plurality of data links, each processing unit comprising a data request engine and a processor. A method for accessing data in memory of the computer system, includes: receiving a data access job at a first data request engine specifying data to be accessed; and generating a plurality of memory access requests to request the plurality of data partitions needed to fulfill the data access job. The plurality of memory access requests are then delivered to the plurality of memory locations, and the plurality of data partitions are copied or moved from the plurality of memory locations to the first processing unit via the data links. The data access job specifies a plurality of data partitions of a source data structure distributed over the plurality of memory locations of the computer system. One purpose of this computer system is to accelerate the accessing of the rows or vectors in an embedding table for machine learning.


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