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.:
Date of Patent:
Aug. 01, 2023
Filed:
Jan. 21, 2022
Unist Academy-industry Research Corporation, Ulsan, KR;
The Regents of the University of California, Oakland, CA (US);
King Abdullah University of Science and Technology, Thuwal, SA;
Jong Eun Lee, Ulsan, KR;
Su Gil Lee, Ulsan, KR;
Gi Ju Jung, Ulsan, KR;
Mohammed Fouda, Irvine, CA (US);
Fadi Kurdahi, Irvine, CA (US);
Ahmed M. Eltawil, Thuwal, SA;
UNIST ACADEMY-INDUSTRY RESEARCH CORPORATION, Ulsan, KR;
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA, Oakland, CA (US);
KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY, Thuwal, SA;
Abstract
A stuck-at fault mitigation method for resistive random access memory (ReRAM)-based deep learning accelerators, includes: confirming a distorted output value (Y0) due to a stuck-at fault (SAF) by using a correction data set in a pre-trained deep learning network, by means of ReRAM-based deep learning accelerator hardware; updating an average (μ) and a standard deviation (σ) of a batch normalization (BN) layer by using the distorted output value (Y0), by means of the ReRAM-based deep learning accelerator hardware; folding the batch normalization (BN) layer in which the average (μ) and the standard deviation (σ) are updated into a convolution layer or a fully-connected layer, by means of the ReRAM-based deep learning accelerator hardware; and deriving a normal output value (Y1) by using the deep learning network in which the batch normalization (BN) layer is folded, by means of the ReRAM-based deep learning accelerator hardware.