Advanced Memory Devices and Their Latest Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: 15 July 2024 | Viewed by 12708

Special Issue Editors


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Guest Editor
CNRS, Institut Matériaux Microélectronique Nanosciences de Provence, Aix-Marseille University, F-13453 Marseille, France
Interests: non-volatile memories; EEPROM; flash; MRAM; electrical characterization; modelization; reliability; security
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Guest Editor
CNRS, Institut Matériaux Microélectronique Nanosciences de Provence, Aix-Marseille University, F-13453 Marseille, France
Interests: electrical characterization; compact modeling of graphene-based transistors; reliability analysis of digital circuits
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
CNRS, Institut Matériaux Microélectronique Nanosciences de Provence, Aix-Marseille University, F-13453 Marseille, France
Interests: semiconductors; microelectronics

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Guest Editor
Electrical and Computer Engineering Department, Lawrence Technological University, Southfield, MI 48075, USA
Interests: power management ICs; battery chargers; mixed signal IC design; GaN & SiC devices; smart battery management systems; neuromorphic computing

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Guest Editor
Department of Physics, Chalmers University of Technology, 41296 Göteborg, Sweden
Interests: semiconductor; microelectronics; memory devices

Special Issue Information

Dear Colleagues,

Advanced memory devices and their latest applications are having an increasingly significant impact on almost every object in our daily lives, driving innovation and revolutionizing numerous industries.

These advancements have been instrumental in the continuous improvement of electronic devices and computing technology, resulting in more powerful, energy-efficient, and compact devices.

Notable advances with semiconductor devices have appeared in the fields of computing and artificial intelligence, the telecommunications sector and Internet of Things.

The energy sector has also benefited from recent semiconductor advancements.

Additionally, advances in semiconductor materials have opened up new possibilities in the field of sensors and actuators.

In conclusion, this Special Issue is dedicated to recent advances in the field of semiconductor devices, materials, and applications.

Prof. Dr. Pierre Canet
Dr. Jorge Daniel Aguirre-Morales
Dr. Philippe Chiquet
Dr. Balakumar Muniandi
Dr. Alok Ranjan
Guest Editors

Manuscript Submission Information

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Keywords

  • MOS transistor
  • non-volatile memories
  • power devices
  • reliability
  • characterization
  • failure mechanisms
  • microwave devices
  • photonics
  • MEMS
  • energy efficiency

Published Papers (1 paper)

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Research

16 pages, 1251 KiB  
Article
MeMPA: A Memory Mapped M-SIMD Co-Processor to Cope with the Memory Wall Issue
by Angela Guastamacchia, Andrea Coluccio, Fabrizio Riente, Giovanna Turvani, Mariagrazia Graziano, Maurizio Zamboni and Marco Vacca
Electronics 2024, 13(5), 854; https://doi.org/10.3390/electronics13050854 - 23 Feb 2024
Viewed by 12439
Abstract
The amazing development of transistor technology has been the main driving force behind modern electronics. Over time, this process has slowed down introducing performance bottlenecks in data-intensive applications. A main cause is the classical von Neumann architecture, which entails constant data exchanges between [...] Read more.
The amazing development of transistor technology has been the main driving force behind modern electronics. Over time, this process has slowed down introducing performance bottlenecks in data-intensive applications. A main cause is the classical von Neumann architecture, which entails constant data exchanges between processing units and data memory, wasting time and power. As a possible alternative, the Beyond von Neumann approach is now rapidly spreading. Although architectures following this paradigm vary a lot in layout and functioning, they all share the same principle: bringing computing elements as near as possible to memory while inserting customized processing elements, able to elaborate more data. Thus, power and time are saved through parallel execution and usage of processing components with local memory elements, optimized for running data-intensive algorithms. Here, a new memory-mapped co-processor (MeMPA) is presented to boost systems performance. MeMPA relies on a programmable matrix of fully interconnected processing blocks, each provided with memory elements, following the Multiple-Single Instruction Multiple Data model. Specifically, MeMPA can perform up to three different instructions, each on different data blocks, concurrently. Hence, MeMPA efficiently processes data-crunching algorithms, achieving energy and time savings up to 81.2% and 68.9%, respectively, compared with a RISC-V-based system. Full article
(This article belongs to the Special Issue Advanced Memory Devices and Their Latest Applications)
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