SIMPLY+: A Reliable STT-MRAM-Based Smart Material Implication Architecture for In-Memory Computing-Reference-Cited by-同舟云学术

SIMPLY+: A Reliable STT-MRAM-Based Smart Material Implication Architecture for In-Memory Computing

Published:2023 Issue: Volume:11 Page:144084-144094
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Moposita Tatiana¹^ORCID,Garzón Esteban¹^ORCID,De Rose Raffaele¹^ORCID,Crupi Felice¹^ORCID,Vladimirescu Andrei²^ORCID,Trojman Lionel³^ORCID,Lanuzza Marco¹^ORCID

Affiliation:

1. Department of Computer Engineering, Modeling, Electronics and Systems, University of Calabria (UNICAL), Rende, Italy

2. Department of Electrical Engineering and Computer Sciences (EECS), University of California at Berkeley, Berkeley, CA, USA

3. Laboratoire d’Informatique Signal Image Telecommunications et Electronique, Institut Supérieur d’Électronique de Paris (ISEP), Paris, France

Funder

Ministero dell?Istruzione, dell?Universit? e della Ricerca

Ministero dell'Universit? e della Ricerca

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10364829.pdf?arnumber=10364829

Reference37 articles.

1. ‘Memristive’ switches enable ‘stateful’ logic operations via material implication

2. XNOR-Bitcount Operation Exploiting Computing-In-Memory With STT-MRAMs

3. Memristor-Based Material Implication (IMPLY) Logic: Design Principles and Methodologies

4. AIDA: Associative In-Memory Deep Learning Accelerator

5. A Logic Circuit Design for Perfecting Memristor-Based Material Implication

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