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:
Nov. 23, 2021

Filed:

Jun. 26, 2019
Applicant:

Micron Technology, Inc., Boise, ID (US);

Inventors:

David Hulton, Seattle, WA (US);

Tamara Schmitz, Scotts Valley, CA (US);

Jonathan D. Harms, Meridian, ID (US);

Jeremy Chritz, Seattle, WA (US);

Kevin Majerus, Boise, ID (US);

Assignee:

MICRON TECHNOLOGY, INC., Boise, ID (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G11C 29/00 (2006.01); G06F 12/126 (2016.01); G06F 12/02 (2006.01); G06F 3/06 (2006.01); G11C 29/04 (2006.01); G06F 12/0813 (2016.01); G11C 29/44 (2006.01); H04L 29/12 (2006.01); G06F 11/10 (2006.01); G11C 11/408 (2006.01); G11C 11/418 (2006.01);
U.S. Cl.
CPC ...
G11C 29/76 (2013.01); G06F 3/0659 (2013.01); G06F 12/0246 (2013.01); G06F 12/126 (2013.01); G06F 11/1048 (2013.01); G06F 12/0813 (2013.01); G11C 11/408 (2013.01); G11C 11/418 (2013.01); G11C 29/04 (2013.01); G11C 29/44 (2013.01); G11C 29/4401 (2013.01); G11C 29/787 (2013.01); H04L 61/2575 (2013.01);
Abstract

Methods, apparatuses, and systems for repairing defective memory cells in regions of a memory array associated with high or low priority levels are disclosed. A repair address generator may be configured to generate a memory address map for repair (e.g., blowing fuses at a fuse circuit), depending on whether certain applications may operate at a high priority level indicative of a low bit error rate or a low priority level indicative of a higher bit error rate. For example, a specified error rate associated with a low priority level may correspond to a threshold error rate for certain applications, such as a neural network application that stores trained weights. Such neural network applications may access trained weights being partially stored in defective memory cells, with the least significant bits of such trained weights being stored in defective memory cells that are not repaired according to the memory address map.


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