Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers-Reference-Cited by-同舟云学术

Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers

Published:2023-11 Issue:11 Volume:42 Page:3532-3544
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:

Armeniakos Giorgos¹^ORCID,Zervakis Georgios¹^ORCID,Soudris Dimitrios²^ORCID,Tahoori Mehdi B.³^ORCID,Henkel Jörg³^ORCID

Affiliation:

1. Karlsruhe Institute of Technology, Karlsruhe, Germany

2. School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

3. Department of Computer Science, Karlsruhe Institute of Technology, Karlsruhe, Germany

Funder

German Research Foundation (DFG) through the Project “ACCROSS: Approximate Computing aCROss the System Stack”

Excellence Initiative of Karlsruhe Institute of Technology through Future Field Program “SoftNeuro.”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference35 articles.

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2. Embedding Hardware Approximations in Discrete Genetic-Based Training for Printed MLPs;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25