Logic synthesis and testing techniques for switching nano-crossbar arrays

Dan Alexandrescu, Mustafa Altun, Lorena Anghel, Anna Bernasconi, Valentina Ciriani*, Luca Frontini, Mehdi Tahoori

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Beyond CMOS, new technologies are emerging to extend electronic systems with features unavailable to silicon-based devices. Emerging technologies provide new logic and interconnection structures for computation, storage and communication that may require new design paradigms, and therefore trigger the development of a new generation of design automation tools. In the last decade, several emerging technologies have been proposed and the time has come for studying new ad-hoc techniques and tools for logic synthesis, physical design and testing. The main goal of this project is developing a complete synthesis and optimization methodology for switching nano-crossbar arrays that leads to the design and construction of an emerging nanocomputer. New models for diode, FET, and four-terminal switch based nanoarrays are developed. The proposed methodology implements logic, arithmetic, and memory elements by considering performance parameters such as area, delay, power dissipation, and reliability. With combination of logic, arithmetic, and memory elements a synchronous state machine (SSM), representation of a computer, is realized. The proposed methodology targets variety of emerging technologies including nanowire/nanotube crossbar arrays, magnetic switch-based structures, and crossbar memories. The results of this project will be a foundation of nano-crossbar based circuit design techniques and greatly contribute to the construction of emerging computers beyond CMOS. The topic of this project can be considered under the research area of “Emerging Computing Models” or “Computational Nanoelectronics”, more specifically the design, modeling, and simulation of new nanoscale switches beyond CMOS.

Original languageEnglish
Pages (from-to)14-25
Number of pages12
JournalMicroprocessors and Microsystems
Volume54
DOIs
Publication statusPublished - Oct 2017

Bibliographical note

Publisher Copyright:
© 2017 Elsevier B.V.

Funding

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 691178 .

FundersFunder number
Horizon 2020 Framework Programme
Horizon 2020691178

    Keywords

    • Computational nanoelectronics
    • Emerging computing model
    • Nano-Crossbar

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