Offline Training-Based Mitigation of IR Drop for ReRAM-Based Deep Neural Network Accelerators-Reference-Cited by-同舟云学术

Offline Training-Based Mitigation of IR Drop for ReRAM-Based Deep Neural Network Accelerators

Published:2023-02 Issue:2 Volume:42 Page:521-532
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Lee Sugil¹^ORCID,Fouda Mohammed E.²^ORCID,Lee Jongeun¹^ORCID,Eltawil Ahmed M.³^ORCID,Kurdahi Fadi²^ORCID

Affiliation:

1. Department of EE, Ulsan National Institute of Science and Technology, Ulsan, South Korea

2. Department of EECS, University of California at Irvine, Irvine, CA, USA

3. Division of CEMSE, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

Funder

IITP through Artificial Intelligence Graduate School Program

Neuromorphic Computing Software Platform for Artificial Intelligence Systems

ITRC Support Program

NRF Grant

MSIT of Korea

Free Innovative Research Fund of UNIST

IC Design Education Center (IDEC), South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

Reference28 articles.

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