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From Digital Computing to Brain-Like Neuromorphic Accelerator
Mahyar SHAHSAVARI Lille University of Science and Technology Doctoral Thesis Unconventional Computing Using Memristive Nanodevices: From Digital Computing to Brain-like Neuromorphic Accelerator Supervisor: Pierre BOULET Thèse en vue de l’obtention du titre de Docteur en INFORMATIQUE DE L’UNIVERSITÉ DE LILLE École Doctorale des Sciences Pour l’Ingénieur de Lille - Nord De France 14-Dec-2016 Jury: Hélène Paugam-Moisy Professor of University of the French West Indies (Université des Antilles), France (Rapporteur) Michel Paindavoine Professor of University of Burgundy (Université de Bourgogne), France (Rapporteur) Virginie Hoel Professor of Lille University of Science and Technology, France(Président) Said Hamdioui Professor of Delft University of Technology, The Netherlands Pierre Boulet Professor of Lille University of Science and Technology, France Acknowledgment Firstly, I would like to express my sincere gratitude to my advisor Prof. Pierre Boulet for all kind of supports during my PhD. I never forget his supports specially during the last step of my PhD that I was very busy due to teaching duties. Pierre was really punctual and during three years of different meetings and discussions, he was always available on time and as a record he never canceled any meeting. I learned a lot form you Pierre, specially the way of writing, communicating and presenting. you were an ideal supervisor for me. Secondly, I am grateful of my co-supervisor Dr Philippe Devienne. As I did not knew any French at the beginning of my study, it was not that easy to settle down and with Philippe supports the life was more comfortable and enjoyable for me and my family here in Lille. -
A Hybrid Nanomemristor/Transistor Logic Circuit Capable of Self-Programming
A hybrid nanomemristor/transistor logic circuit capable of self-programming Julien Borghetti, Zhiyong Li, Joseph Straznicky, Xuema Li, Douglas A. A. Ohlberg, Wei Wu, Duncan R. Stewart, and R. Stanley Williams1 Information and Quantum Systems Lab, Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, CA 94304 Edited by Konstantin Likharev, State University of New York, Stony Brook University, and accepted by the Editorial Board December 19, 2008 (received for review July 9, 2008) Memristor crossbars were fabricated at 40 nm half-pitch, using Crossbars have been proposed for and implemented in a nanoimprint lithography on the same substrate with Si metal- variety of nanoscale electronic integrated circuit architectures, oxide-semiconductor field effect transistor (MOS FET) arrays to such as memory and logic systems (5–12). A 2-dimensional grid form fully integrated hybrid memory resistor (memristor)/transis- offers several advantages for computing at the nanoscale: It is tor circuits. The digitally configured memristor crossbars were used scalable down to the molecular scale (13, 14), it is a regular to perform logic functions, to serve as a routing fabric for inter- structure that can be configured by closing junctions to express connecting the FETs and as the target for storing information. As a high degree of complexity and reconfigured to tolerate defects an illustrative demonstration, the compound Boolean logic oper- in the circuit (15–17), and because of its structural simplicity it ation (A AND B) OR (C AND D) was performed with kilohertz can be fabricated inexpensively with nanoimprint lithography (7, frequency inputs, using resistor-based logic in a memristor crossbar 18, 19). -
17 Architectures and Simulations for Nanoprocessor Systems Integrated on the Molecular Scale
17 Architectures and Simulations for Nanoprocessor Systems Integrated on the Molecular Scale Shamik Das1, Garrett S. Rose1, Matthew M. Ziegler2, Carl A. Picconatto1, and James C. Ellenbogen1 1 The MITRE Corporation, 7525 Colshire Drive, McLean, VA 22102 {sdas,grose,picconatto,ellenbgn}@mitre.org 2 IBM T. J. Watson Research Center, 1101 Kitchawan Road, P. O. Box 218, Yorktown Heights [email protected] Abstract. This chapter concerns the design, development, and simulation of nanoprocessor systems integrated on the molecular scale. It surveys ongoing re- search and development on nanoprocessor architectures and discusses challenges in the implementation of such systems. System simulation is used to identify some advantages, issues, and trade-offs in potential implementations. Previously, the au- thors and their collaborators considered in detail the requirements and likely per- formance of nanomemory systems. This chapter recapitulates the essential aspects of that earlier work and builds upon those efforts to examine the likely architectures and requirements of nanoprocessors. For nanoprocessor systems, simulation, as well as design and fabrication, embodies unique problems beyond those introduced by the large number of densely-packed, novel nanodevices. For example, unlike the largely homogeneous structure of circuitry in nanomemory arrays, a high degree of variety and inhomogeneity must be present in nanoprocessors. Also, issues of clocking, signal restoration, and power become much more significant. Thus, build- ing and operating nanoprocessor systems will present significant new challenges and require additional innovations in the application of molecular-scale devices and circuits, beyond those already achieved for nanomemories. New nanoelectronic de- vices, circuits, and architectures will be necessary to perform the more complex and specialized functions inherent in processing systems at the nanometer scale. -
From Digital Computing to Brain-Like Neuromorphic Accelerator Mahyar Shahsavari
Unconventional Computing Using Memristive Nanodevices: From Digital Computing to Brain-like Neuromorphic Accelerator Mahyar Shahsavari To cite this version: Mahyar Shahsavari. Unconventional Computing Using Memristive Nanodevices: From Digital Com- puting to Brain-like Neuromorphic Accelerator. Neural and Evolutionary Computing [cs.NE]. Univer- sité de Lille, Sciences et Technologies 2016. English. tel-01451613 HAL Id: tel-01451613 https://hal.archives-ouvertes.fr/tel-01451613 Submitted on 1 Mar 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Mahyar SHAHSAVARI Lille University of Science and Technology Doctoral Thesis Unconventional Computing Using Memristive Nanodevices: From Digital Computing to Brain-like Neuromorphic Accelerator Supervisor: Pierre BOULET Thèse en vue de l’obtention du titre de Docteur en INFORMATIQUE DE L’UNIVERSITÉ DE LILLE École Doctorale des Sciences Pour l’Ingénieur de Lille - Nord De France 14-Dec-2016 Jury: Hélène Paugam-Moisy Professor of University of the French West Indies (Université des Antilles), France (Rapporteur) Michel Paindavoine Professor of University of Burgundy (Université de Bourgogne), France (Rapporteur) Virginie Hoel Professor of Lille University of Science and Technology, France(Président) Said Hamdioui Professor of Delft University of Technology, The Netherlands Pierre Boulet Professor of Lille University of Science and Technology, France Acknowledgment Firstly, I would like to express my sincere gratitude to my advisor Prof. -
A Hybrid Nanomemristor/Transistor Logic Circuit Capable of Self-Programming
A hybrid nanomemristor/transistor logic circuit capable of self-programming Julien Borghetti, Zhiyong Li, Joseph Straznicky, Xuema Li, Douglas A. A. Ohlberg, Wei Wu, Duncan R. Stewart, and R. Stanley Williams1 Information and Quantum Systems Lab, Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, CA 94304 Edited by Konstantin Likharev, State University of New York, Stony Brook University, and accepted by the Editorial Board December 19, 2008 (received for review July 9, 2008) Memristor crossbars were fabricated at 40 nm half-pitch, using Crossbars have been proposed for and implemented in a nanoimprint lithography on the same substrate with Si metal- variety of nanoscale electronic integrated circuit architectures, oxide-semiconductor field effect transistor (MOS FET) arrays to such as memory and logic systems (5–12). A 2-dimensional grid form fully integrated hybrid memory resistor (memristor)/transis- offers several advantages for computing at the nanoscale: It is tor circuits. The digitally configured memristor crossbars were used scalable down to the molecular scale (13, 14), it is a regular to perform logic functions, to serve as a routing fabric for inter- structure that can be configured by closing junctions to express connecting the FETs and as the target for storing information. As a high degree of complexity and reconfigured to tolerate defects an illustrative demonstration, the compound Boolean logic oper- in the circuit (15–17), and because of its structural simplicity it ation (A AND B) OR (C AND D) was performed with kilohertz can be fabricated inexpensively with nanoimprint lithography (7, frequency inputs, using resistor-based logic in a memristor crossbar 18, 19). -
A Study of the Memristor Models and Applications
Institutionen för systemteknik Department of Electrical Engineering Examensarbete A Study of the Memristor Models and Applications Examensarbete utfört i Elektroteknik vid Tekniska högskolan i Linköping av Vahid Keshmiri LiTH-ISY-EX—11/4455--SE Linköping 2014 Department of Electrical Engineering Linköping tekniska högskola Linköping universitet Linköping universitet SE-581 83 Linköping, Sweden 581 83 Linköping No Title Page LITH-EX-11/4455 A Study of the Memristor Models and Applications 2 of 115 Table of Contents 1. Introduction ..............................................................................................................................13 1.1 Motivation ...............................................................................................................................................14 1.2 Working environment ............................................................................................................................15 1.3 Work specification .................................................................................................................................15 1.4 Outline of thesis .....................................................................................................................................15 2. A Brief History of circuit elements ............................................................................................17 2.1 Introduction ............................................................................................................................................17