Invention Grant
- Patent Title: Memory systems including examples of calculating hamming distances for neural network and data center applications
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Application No.: US17016023Application Date: 2020-09-09
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Publication No.: US11327682B2Publication Date: 2022-05-10
- Inventor: David Hulton , Jeremy Chritz
- Applicant: MICRON TECHNOLOGY, INC.
- Applicant Address: US ID Boise
- Assignee: MICRON TECHNOLOGY, INC.
- Current Assignee: MICRON TECHNOLOGY, INC.
- Current Assignee Address: US ID Boise
- Agency: Dorsey & Whitney LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06F3/06 ; G06F13/16 ; H04L9/06 ; G06N3/08

Abstract:
Examples of systems and method described herein provide for the processing of image codes (e.g., a binary embedding) at a memory system including a Hamming processing unit. Such images codes may generated by various endpoint computing devices, such as Internet of Things (IoT) computing devices, Such devices can generate a Hamming processing request, having an image code of the image, to compare that representation of the image to other images (e.g., in an image dataset) to identify a match or a set of neural network results. Advantageously, examples described herein may be used in neural networks to facilitate the processing of datasets, so as to increase the rate and amount of processing of such datasets. For example, comparisons of image codes can be performed “closer” to the memory devices, e.g., at a processing unit having memory devices.
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