Design and Performance Analysis of 1-Bit Finfet Full Adder Cells for Subthreshold Region at 16 Nm Process Technology
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Ionizing Radiation Effects on CMOS Imagers Manufactured in Deep Submicron Process
Ionizing Radiation Effects on CMOS Imagers Manufactured in Deep Submicron Process Vincent Goiffona, Pierre Magnana, Fr´ed´eric Bernardb, Guy Rollandb, Olivier Saint-P´ec, Nicolas Hugera and Franck Corbi`erea aUniversit´ede Toulouse, ISAE, 10 avenue E. Belin, 31055, Toulouse, France; bCNES, 18 avenue E. Belin, 31401, Toulouse, France; cEADS Astrium, 31 avenue des cosmonautes, 31402, Toulouse, France ABSTRACT We present here a study on both CMOS sensors and elementary structures (photodiodes and in-pixel MOSFETs) manufactured in a deep submicron process dedicated to imaging. We designed a test chip made of one 128×128- 3T-pixel array with 10 µm pitch and more than 120 isolated test structures including photodiodes and MOSFETs with various implants and different sizes. All these devices were exposed to ionizing radiation up to 100 krad and their responses were correlated to identify the CMOS sensor weaknesses. Characterizations in darkness and under illumination demonstrated that dark current increase is the major sensor degradation. Shallow trench isolation was identified to be responsible for this degradation as it increases the number of generation centers in photodiode depletion regions. Consequences on hardness assurance and hardening-by-design are discussed. Keywords: CMOS image sensor, CIS, APS, deep submicron technology, ionizing radiation, total dose, dark current, STI, hardening by design, RHDB 1. INTRODUCTION Ionizing radiation effects on CMOS image sensors for space and scientific applications have been studied1–6 for several years. However, the use of deep submicron technologies (DSM) has brought new behaviors7 such as enhanced gate oxide hardness or radiation induced narrow channel effect.8 These effects have been initially observed and explained on deep submicron low voltage MOS transistors dedicated to digital logic applications. -
MOSFET - Wikipedia, the Free Encyclopedia
MOSFET - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/MOSFET MOSFET From Wikipedia, the free encyclopedia The metal-oxide-semiconductor field-effect transistor (MOSFET, MOS-FET, or MOS FET), is by far the most common field-effect transistor in both digital and analog circuits. The MOSFET is composed of a channel of n-type or p-type semiconductor material (see article on semiconductor devices), and is accordingly called an NMOSFET or a PMOSFET (also commonly nMOSFET, pMOSFET, NMOS FET, PMOS FET, nMOS FET, pMOS FET). The 'metal' in the name (for transistors upto the 65 nanometer technology node) is an anachronism from early chips in which the gates were metal; They use polysilicon gates. IGFET is a related, more general term meaning insulated-gate field-effect transistor, and is almost synonymous with "MOSFET", though it can refer to FETs with a gate insulator that is not oxide. Some prefer to use "IGFET" when referring to devices with polysilicon gates, but most still call them MOSFETs. With the new generation of high-k technology that Intel and IBM have announced [1] (http://www.intel.com/technology/silicon/45nm_technology.htm) , metal gates in conjunction with the a high-k dielectric material replacing the silicon dioxide are making a comeback replacing the polysilicon. Usually the semiconductor of choice is silicon, but some chip manufacturers, most notably IBM, have begun to use a mixture of silicon and germanium (SiGe) in MOSFET channels. Unfortunately, many semiconductors with better electrical properties than silicon, such as gallium arsenide, do not form good gate oxides and thus are not suitable for MOSFETs. -
Characterization of the Cmos Finfet Structure On
CHARACTERIZATION OF THE CMOS FINFET STRUCTURE ON SINGLE-EVENT EFFECTS { BASIC CHARGE COLLECTION MECHANISMS AND SOFT ERROR MODES By Patrick Nsengiyumva Dissertation Submitted to the Faculty of the Graduate School of Vanderbilt University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in Electrical Engineering May 11, 2018 Nashville, Tennessee Approved: Lloyd W. Massengill, Ph.D. Michael L. Alles, Ph.D. Bharat B. Bhuva, Ph.D. W. Timothy Holman, Ph.D. Alexander M. Powell, Ph.D. © Copyright by Patrick Nsengiyumva 2018 All Rights Reserved DEDICATION In loving memory of my parents (Boniface Bimuwiha and Anne-Marie Mwavita), my uncle (Dr. Faustin Nubaha), and my grandmother (Verediana Bikamenshi). iii ACKNOWLEDGEMENTS This dissertation work would not have been possible without the support and help of many people. First of all, I would like to express my deepest appreciation and thanks to my advisor Dr. Lloyd Massengill for his continual support, wisdom, and mentoring throughout my graduate program at Vanderbilt University. He has pushed me to look critically at my work and become a better research scholar. I would also like to thank Dr. Michael Alles and Dr. Bharat Bhuva, who have helped me identify new paths in my research and have been a constant source of ideas. I am also very grateful to Dr. W. T. Holman and Dr. Alexander Powell for serving on my committee and for their constructive comments. Special thanks go to Dr. Jeff Kauppila, Jeff Maharrey, Rachel Harrington, and Tim Haeffner for their support with test IC designs and experiments. I would also like to thank Dennis Ball (Scooter) for his tremendous help with TCAD models. -
Estimation of Power Dissipation of CMOS and Finfet Based 6T SRAM Memory M
et International Journal on Emerging Technologies (Special Issue on ICRIET-2016) 7(2): 347-353(2016) ISSN No. (Print) : 0975-8364 ISSN No. (Online) : 2249-3255 Estimation of Power Dissipation of CMOS and finFET based 6T SRAM Memory M. R. Govind * and Chetan Alatagi** *Asst Prof, Department of Electronics and Communication Engineering, VSMIT, Nipani, Karanataka, India ** Asst Prof, Department of Electronics and Communication Engineering, VSMIT, Nipani, Karanataka, India (Corresponding author : M. R. Govind) (Received 28 September, 2016 Accepted 29 October, 2016) (Published by Research Trend, Website: www.researchtrend.net) ABSTRACT: This paper provides the estimation of power dissipation of CMOS and finFET based 6T SRAM Memory. CMOS expertise feature size and threshold voltage have been scaling down for decades for achieving high density and high performance. The continuing reduce in the feature size and the corresponding increases in chip density and operating frequency have made power consumption a major concern in VLSI design. Extreme power dissipation in integrated circuits discourages their use in moveable systems. Low threshold voltage also results in enlarged sub-threshold leakage current because transistors cannot be turned off completely. For these reasons, leakage power dissipation , has become a major part of total power consumption for current and future silicon technologies. FinFET evolving to be a promising technology in this regard .In this the designing, modeling and optimizing the 6-T SRAM cell device is done. Keywords: CMOS, FinFET, Static RAM, Read/Write, Sense Amplifier nanometer process technologies have advanced, Chip I. INTRODUCTION density and operating frequency have increased, that It is found that FinFET-based 6T SRAM cells designed makes power burning up in battery operated portable with built in feedback realize significant improvements devices a major concern. -
The End of Moore's Law and Faster General Purpose Computing, and A
The End of Moore’s Law & Faster General Purpose Computing, and a Road Forward John Hennessy Stanford University March 2019 The End of an Era • 40 years of stunning progress in microprocessor design • 1.4x annual performance improvement for 40+ years ≈ 106 x faster (throughput)! • Three architectural innovations: • Width: 8->16->64 bit (~4x) • Instruction level parallelism: • 4-10 cycles per instruction to 4+ instructions per cycle (~10-20x) • Multicore: one processor to 32 cores (~32x) • Clock rate: 3 MHz to 4 GHz (through technology & architecture) • Made possible by IC technology: • Moore’s Law: growth in transistor count • Dennard Scaling: power/transistor shrinks as speed & density increase • Power = frequency x CV2 • Energy expended per computation was reducing Future processors 1 THREE CHANGES CONVERGE • Technology • End of Dennard scaling: power becomes the key constraint • Slowdown in Moore’s Law: transistors cost (even unused) • Architectural • Limitation and inefficiencies in exploiting instruction level parallelism end the uniprocessor era. • Amdahl’s Law and its implications end the “easy” multicore era • Application focus shifts • From desktop to individual, mobile devices and ultrascale cloud computing, IoT: new constraints. Future processors 2 UNIPROCESSOR PERFORMANCE (SINGLE CORE) Performance = highest SPECInt by year; from Hennessy & Patterson [2018]. Future processors 3 MOORE’S LAW IN DRAMS 4 THE TECHNOLOGY SHIFTS MOORE’S LAW SLOWDOWN IN INTEL PROCESSORS 10X Cost/transisto r slowing down faster, due to fab costs. Future processors 5 TECHNOLOGY, POWER, AND DENNARD SCALING 200 4.5 180 4 Technology (nm) 160 3.5 Energy/nm^2 140 3 120 2.5 100 2 80 1.5 60 Namometers 1 40 20 0.5 nm^2 per Power Relative 0 0 2000 2002 2004 2006 2008 2010 2012 2014 2016 2018 2020 Power consumption Energy scaling for fixed task is better, since more & faster xistors. -
AI Chips: What They Are and Why They Matter
APRIL 2020 AI Chips: What They Are and Why They Matter An AI Chips Reference AUTHORS Saif M. Khan Alexander Mann Table of Contents Introduction and Summary 3 The Laws of Chip Innovation 7 Transistor Shrinkage: Moore’s Law 7 Efficiency and Speed Improvements 8 Increasing Transistor Density Unlocks Improved Designs for Efficiency and Speed 9 Transistor Design is Reaching Fundamental Size Limits 10 The Slowing of Moore’s Law and the Decline of General-Purpose Chips 10 The Economies of Scale of General-Purpose Chips 10 Costs are Increasing Faster than the Semiconductor Market 11 The Semiconductor Industry’s Growth Rate is Unlikely to Increase 14 Chip Improvements as Moore’s Law Slows 15 Transistor Improvements Continue, but are Slowing 16 Improved Transistor Density Enables Specialization 18 The AI Chip Zoo 19 AI Chip Types 20 AI Chip Benchmarks 22 The Value of State-of-the-Art AI Chips 23 The Efficiency of State-of-the-Art AI Chips Translates into Cost-Effectiveness 23 Compute-Intensive AI Algorithms are Bottlenecked by Chip Costs and Speed 26 U.S. and Chinese AI Chips and Implications for National Competitiveness 27 Appendix A: Basics of Semiconductors and Chips 31 Appendix B: How AI Chips Work 33 Parallel Computing 33 Low-Precision Computing 34 Memory Optimization 35 Domain-Specific Languages 36 Appendix C: AI Chip Benchmarking Studies 37 Appendix D: Chip Economics Model 39 Chip Transistor Density, Design Costs, and Energy Costs 40 Foundry, Assembly, Test and Packaging Costs 41 Acknowledgments 44 Center for Security and Emerging Technology | 2 Introduction and Summary Artificial intelligence will play an important role in national and international security in the years to come. -
Introducing 10-Nm Finfet Technology in Microwind Etienne Sicard
Introducing 10-nm FinFET technology in Microwind Etienne Sicard To cite this version: Etienne Sicard. Introducing 10-nm FinFET technology in Microwind. 2017. hal-01551695 HAL Id: hal-01551695 https://hal.archives-ouvertes.fr/hal-01551695 Submitted on 30 Jun 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. APPLICATION NOTE 10 nm technology Introducing 10-nm FinFET technology in Microwind Etienne SICARD Professor INSA-Dgei, 135 Av de Rangueil 31077 Toulouse – France www.microwind.org email: [email protected] This paper describes the implementation of a high performance FinFET-based 10-nm CMOS Technology in Microwind. New concepts related to the design of FinFET and design for manufacturing are also described. The performances of a ring oscillator layout and a 6-transistor RAM memory layout are also analyzed. 1. Technology Roadmap Several companies and research centers have released details on the 14-nm CMOS technology, as a major step for improved integration and performances, with the target of 7-nm process by 2020. We recall in -
Review Article Finfets: from Devices to Architectures
Hindawi Publishing Corporation Advances in Electronics Volume 2014, Article ID 365689, 21 pages http://dx.doi.org/10.1155/2014/365689 Review Article FinFETs: From Devices to Architectures Debajit Bhattacharya and Niraj K. Jha Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA Correspondence should be addressed to Niraj K. Jha; [email protected] Received 4 June 2014; Accepted 23 July 2014; Published 7 September 2014 Academic Editor: Jaber Abu Qahouq Copyright © 2014 D. Bhattacharya and N. K. Jha. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Since Moore’s law driven scaling of planar MOSFETs faces formidable challenges in the nanometer regime, FinFETs and Trigate FETs have emerged as their successors. Owing to the presence of multiple (two/three) gates, FinFETs/Trigate FETs are able to tackle short-channel effects (SCEs) better than conventional planar MOSFETs at deeply scaled technology nodes and thus enable continued transistor scaling. In this paper, we review research on FinFETs from the bottommost device level to the topmost architecture level. We survey different types of FinFETs, various possible FinFET asymmetries and their impact, and novel logic- level and architecture-level tradeoffs offered by FinFETs. We also review analysis and optimization tools that are available for characterizing FinFET devices, circuits, and architectures. 1. Introduction (), drain-induced barrier lowering (DIBL), and threshold voltage ( th) roll-off. Improvement in these metrics implies Relentless scaling of planar MOSFETs over the past four less degradation in the transistor’s th with continued scaling, decades has delivered ever-increasing transistor density and which in turn implies less degradation in off . -
United States Securities and Exchange Commission Form
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 FORM 8-K CURRENT REPORT Pursuant to Section 13 OR 15(d) of The Securities Exchange Act of 1934 Date of Report: November 20, 2014 (Date of earliest event reported) INTEL CORPORATION (Exact name of registrant as specified in its charter) Delaware 000-06217 94-1672743 (State or other jurisdiction (Commission (IRS Employer of incorporation) File Number) Identification No.) 2200 Mission College Blvd., Santa Clara, California 95054-1549 (Address of principal executive offices) (Zip Code) (408) 765-8080 (Registrant's telephone number, including area code) (Former name or former address, if changed since last report) Check the appropriate box below if the Form 8-K filing is intended to simultaneously satisfy the filing obligation of the registrant under any of the following provisions (see General Instruction A.2. below): [ ] Written communications pursuant to Rule 425 under the Securities Act (17 CFR 230.425) [ ] Soliciting material pursuant to Rule 14a-12 under the Exchange Act (17 CFR 240.14a-12) [ ] Pre-commencement communications pursuant to Rule 14d-2(b) under the Exchange Act (17 CFR 240.14d-2(b)) [ ] Pre-commencement communications pursuant to Rule 13e-4(c) under the Exchange Act (17 CFR 240.13e-4c)) Item 7.01 Regulation FD Disclosure The information in this report shall not be treated as filed for purposes of the Securities Exchange Act of 1934, as amended. On November 20, 2014, Intel Corporation presented business and financial information to institutional investors, analysts, members of the press and the general public at a publicly available webcast meeting (the "Investor Meeting"). -
The Breakthrough Advantage for Fpgas with Tri-Gate Technology
WHITE PAPER FPGA The Breakthrough Advantage for FPGAs with Tri-Gate Technology Transistor design transitions from traditional planar to 3-D structures provide a significant boost in the capabilities of high-performance programmable logic. Authors Introduction Ryan Kenny In February 2013, Altera® and Intel® Corporation jointly announced that the next Senior Product Marketing Manager generation of Altera’s highest performance FPGA products would be produced Intel Programmable Solutions Group using Intel’s 14 nm 3-D Tri-Gate transistor technology exclusively. In December 2015, Intel completed the acquisition of Altera. This makes Intel the exclusive Jeff Watt major FPGA provider of the most advanced, highest performance semiconductor Technical Fellow technology available. To understand the impact of Tri-Gate technology on the Intel Programmable Solutions Group capabilities of high-performance FPGAs, and how significant this advantage is in digital circuit speed, power, and production availability, a background on the development and state of Tri-Gate and related technologies is offered here. Transistor design background In 1947 the first transistor, a germanium ‘point-contact’ structure, was demonstrated at Bell Laboratories. Silicon was first used to produce bipolar transistors in 1954, but it was not until 1960 that the first silicon metal oxide semiconductor field-effect transistor (MOSFET) was built. The earliest MOSFETs Table of Contents were 2D planar devices with current flowing along the surface of the silicon under Introduction . .1 the gate. The basic structure of MOSFET devices has remained substantially unchanged for over 50 years. Transistor Design Background. .1 Since the prediction or proclamation of Moore’s Law in 1965, many additional Important Turning Point in enhancements and improvements have been made to the manufacture and Transistor Technology. -
Page 1 Last Updated June 02, 2016 Title Dr. First Name Manoj Last Name Saxena Photograph Designation Associate Prof
Last Updated June 02, 2016 Title Dr. First Name Manoj Last Name Saxena Photograph Designation Associate Professor Address Department of Electronics Deen Dayal Upadhyaya College University of Delhi Karampura, New Delhi-110015, India Phone No Office 011 -25458173 Residence 011 -28531418 Mobile 09968393104 Email [email protected], [email protected] Web -Page Education al Qualification s Degree Institution Year Ph.D. Electronics University of Delhi 2006 M. Sc. Electronics University of Delhi 2000 (Gold Medalist ) B. Sc. (H) Electronics University of Delhi 1998 Career Profile • Lecturer, Department of Electronics, Deen Dayal Upadhyaya College, University of Delhi (August 2000 - December 2005) • Assistant Professor, Department of Electronics, Deen Dayal Upadhyaya College, University of Delhi (01/01/2006 – 26/08/2006) • Assistant Professor (Senior Lecturer), Department of Electronics, Deen Dayal Upadhyaya College, University of Delhi (27/08/2006 – 26/08/2009) • Assistant Professor (Reader), Department of Electronics, Deen Dayal Upadhyaya College, University of Delhi (27/08/2009 - Till Date) • Associate Professor, Department of Electronics, Deen Dayal Upadhyaya College, University of Delhi (27/08/2012 - Till Date) Administrative Assignments Year 20 16 – 2017 • Convener-Research Centre • Convener – Science Foundation • Convener – College Research Committee • Convener – Website Committee • Convener – Career Counseling and Placement Cell • Convener – India Today NIELSEN Survey Committee for Science, Commerce and Arts • Election Officer -
Nano Field Effect Transistors As Basic Building Blocks for Sensing
Nano Field Effect Transistors as basic building blocks for sensing Inauguraldissertation zur Erlangung der W¨urdeeines Doktors der Philosophie vorgelegt der Philosophisch-Naturwissenschaftlichen Fakult¨at der Universit¨at Basel von Dino Keller aus Bischofszell, TG Basel, 2008 Genehmigt von der Philosophisch-Naturwissenschaftlichen Fakult¨at auf Antrag von Prof. Dr. C. Sch¨onenberger Prof. Dr. A. Ionescu Prof. Dr. A. Engel Dr. M. Calame Basel, den 11. Dezember 2007 Prof. Dr. Hans-Peter Hauri Dekan It is the glory of God to conceal a thing: but the honour of kings is to search out a matter. King Solomon, Proverbs 25: 2 Contents 1 Introduction 1 1.1 Motivation .......................... 1 1.2 About this work ....................... 2 2 Theoretical background 5 2.1 Standard FET theory .................... 5 2.1.1 MOS capacitor terminology ............. 7 2.1.2 Surface depletion ................... 9 2.1.3 MOS capacity ..................... 11 2.1.4 Subthreshold regime ................. 12 2.2 Nanowire FETs ........................ 13 i ii Contents 2.3 Carbon Nanotube FETs ................... 14 2.3.1 Introduction to Carbon Nanotubes ......... 14 2.3.2 Carbon Nanotube MOSFET model ......... 17 2.3.3 CNT Schottky Barrier Transistor model ...... 23 2.3.4 Experimental observations: Literature review ... 25 3 Sensor fabrication techniques 27 3.1 Silicon NW FET ....................... 28 3.1.1 Top oxide ....................... 30 3.1.2 Etching mask ..................... 30 3.1.3 Etching of the device structure ........... 32 3.1.4 Contacts ........................ 36 3.1.5 Summary SiNW FET devices ............ 36 3.2 Carbon Nanotube FET ................... 38 3.2.1 General device fabrication issues .......... 39 3.2.2 Chemical Vapor Deposition ............