Si MOSFET Roadmap for 22Nm and Beyond
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Resonance-Enhanced Waveguide-Coupled Silicon-Germanium Detector L
Resonance-enhanced waveguide-coupled silicon-germanium detector L. Alloatti and R. J. Ram Citation: Applied Physics Letters 108, 071105 (2016); doi: 10.1063/1.4941995 View online: http://dx.doi.org/10.1063/1.4941995 View Table of Contents: http://scitation.aip.org/content/aip/journal/apl/108/7?ver=pdfcov Published by the AIP Publishing Articles you may be interested in Waveguide-coupled detector in zero-change complementary metal–oxide–semiconductor Appl. Phys. Lett. 107, 041104 (2015); 10.1063/1.4927393 Efficient evanescent wave coupling conditions for waveguide-integrated thin-film Si/Ge photodetectors on silicon- on-insulator/germanium-on-insulator substrates J. Appl. Phys. 110, 083115 (2011); 10.1063/1.3642943 Metal-semiconductor-metal Ge photodetectors integrated in silicon waveguides Appl. Phys. Lett. 92, 151114 (2008); 10.1063/1.2909590 Guided-wave near-infrared detector in polycrystalline germanium on silicon Appl. Phys. Lett. 87, 203507 (2005); 10.1063/1.2131175 Back-side-illuminated high-speed Ge photodetector fabricated on Si substrate using thin SiGe buffer layers Appl. Phys. Lett. 85, 3286 (2004); 10.1063/1.1805706 Reuse of AIP Publishing content is subject to the terms at: https://publishing.aip.org/authors/rights-and-permissions. IP: 18.62.22.131 On: Mon, 07 Mar 2016 17:12:57 APPLIED PHYSICS LETTERS 108, 071105 (2016) Resonance-enhanced waveguide-coupled silicon-germanium detector L. Alloattia),b) and R. J. Ram Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA (Received 5 January 2016; accepted 3 February 2016; published online 16 February 2016) A photodiode with 0.55 6 0.1 A/W responsivity at a wavelength of 1176.9 nm has been fabricated in a 45 nm microelectronics silicon-on-insulator foundry process. -
China's Progress in Semiconductor Manufacturing Equipment
MARCH 2021 China’s Progress in Semiconductor Manufacturing Equipment Accelerants and Policy Implications CSET Policy Brief AUTHORS Will Hunt Saif M. Khan Dahlia Peterson Executive Summary China has a chip problem. It depends entirely on the United States and U.S. allies for access to advanced commercial semiconductors, which underpin all modern technologies, from smartphones to fighter jets to artificial intelligence. China’s current chip dependence allows the United States and its allies to control the export of advanced chips to Chinese state and private actors whose activities threaten human rights and international security. Chip dependence is also expensive: China currently depends on imports for most of the chips it consumes. China has therefore prioritized indigenizing advanced semiconductor manufacturing equipment (SME), which chip factories require to make leading-edge chips. But indigenizing advanced SME will be hard since Chinese firms have serious weaknesses in almost all SME sub-sectors, especially photolithography, metrology, and inspection. Meanwhile, the top global SME firms—based in the United States, Japan, and the Netherlands—enjoy wide moats of intellectual property and world- class teams of engineers, making it exceptionally difficult for newcomers to the SME industry to catch up to the leading edge. But for a country with China’s resources and political will, catching up in SME is not impossible. Whether China manages to close this gap will depend on its access to five technological accelerants: 1. Equipment components. Building advanced SME often requires access to a range of complex components, which SME firms often buy from third party suppliers and then assemble into finished SME. -
Nanoelectronics the Original Positronic Brain?
Nanoelectronics the Original Positronic Brain? Dan Hammerstrom Department of Electrical and Computer Engineering Portland State University Maseeh College of Engineering 12/13/08 1 and Computer Science Wikipedia: “A positronic brain is a fictional technological device, originally conceived by science fiction writer Isaac Asimov “Its role is to serve as a central computer for a robot, and, in some unspecified way, to provide it with a form of consciousness recognizable to humans” How close are we? You can judge the algorithms, in this talk I will focus on hardware and what the future might hold Maseeh College of Engineering 12/13/08 Hammerstrom 2 and Computer Science Moore’s Law: The number of transistors doubles every 18-24 months No discussion of computing is complete without addressing Moore’s law The semiconductor industry has been following it for almost 30 years It is not really a physical law, but one of faith The fruits of a hyper-competitive $300 billion global industry Then there is Moore’s lesser known 2nd law st The 1 law requires exponentially increasing investment And what I call Moore’s 3rd law st The 1 law results in exponentially increasing design errata Maseeh College of Engineering 12/13/08 Hammerstrom 3 and Computer Science Intel is now manufacturing in their new, innovative 45 nm process Effective gate lengths of 37 nm (HkMG) And they recently announced a 32 nm scaling of the 45 nm process Transistors of this size are no longer acting like ideal switches And there are other problems … 45 nm Transistor -
Which Is the Best Dual-Port SRAM in 45-Nm Process Technology? – 8T, 10T Single End, and 10T Differential –
Which is the Best Dual-Port SRAM in 45-nm Process Technology? – 8T, 10T Single End, and 10T Differential – Hiroki Noguchi†, Shunsuke Okumura†, Yusuke Iguchi†, Hidehiro Fujiwara†, Yasuhiro Morita†, Koji Nii†,††, Hiroshi Kawaguchi†, and Masahiko Yoshimoto† † Kobe University, Kobe, 657-8501 Japan. †† Renesas Technology Corporation, Itami, 664-0005 Japan. Phone: +81-78-803-6234, E-mail: [email protected] read ports. The next section describes their cell topologies. Abstract— This paper compares readout powers and operating frequencies among dual-port SRAMs: an 8T SRAM, 10T II. CELL TOPOLOGIES single-end SRAM, and 10T differential SRAM. The conventional 8T SRAM has the least transistor count, and is the most area A. 8T SRAM efficient. However, the readout power becomes large and the (a) cycle time increases due to peripheral circuits. The 10T Precharge Precharge circuit single-end SRAM is our proposed SRAM, in which a dedicated signal MC inverter and transmission gate are appended as a single-end read Bitline leakage port. The readout power of the 10T single-end SRAM is reduced by 75% and the operating frequency is increased by 95%, over the 8T SRAM. On the other hand the 10T differential SRAM can MC Memory cell (MC) operate fastest, because its small differential voltage of 50 mV RWL achieves the high-speed operation. In terms of the power WWL Readout current efficiency, however, the sense amplifier and precharge circuits lead to the power overhead. As a result, the 10T single-end P1 P2 Bitline keeper SRAM always consumes lowest readout power compared to the 8T and the 10T differential SRAM. -
Technology Roadmap for 22Nm CMOS and Beyond
Technology Roadmap for 22nm CMOS and beyond June 1, 2009 IEDST 2009@IIT-Bombay Hiroshi Iwai Tokyo Institute of Technology 1 Outline 1. Scaling 2. ITRS Roadmap 3. Voltage Scaling/ Low Power and Leakage 4. SRAM Cell Scaling 5.Roadmap for further future as a personal view 2 1. Scaling 3 Scaling Method: by R. Dennard in 1974 1 Wdep: Space Charge Region (or Depletion Region) Width 1 1 SDWdep has to be suppressed 1 Otherwise, large leakage Wdep between S and D I Leakage current Potential in space charge region is high, and thus, electrons in source are 0 attracted to the space charge region. 0 V 1 K=0.7 X , Y, Z :K, V :K, Na : 1/K for By the scaling, Wdep is suppressed in proportion, example and thus, leakage can be suppressed. K Good scaled I-V characteristics K K Wdep V/Na K Wdep I I : K : K 0 0K V 4 Downscaling merit: Beautiful! Geometry & L , W g g K Scaling K : K=0.7 for example Supply voltage Tox, Vdd Id = vsatWgCo (Vg‐Vth) Co: gate C per unit area Drive current I d K –1 ‐1 ‐1 in saturation Wg (tox )(Vg‐Vth)= Wgtox (Vg‐Vth)= KK K=K Id per unit Wg Id/µm 1 Id per unit Wg = Id / Wg= 1 Gate capacitance Cg K Cg = εoεoxLgWg/tox KK/K = K Switching speed τ K τ= CgVdd/Id KK/K= K Clock frequency f 1/K f = 1/τ = 1/K Chip area Achip α α: Scaling factor In the past, α>1 for most cases Integration (# of Tr) N α/K2 N α/K2 = 1/K2 , when α=1 Power per chip P α fNCV2/2 K‐1(αK‐2)K (K1 )2= α = 1, when α=1 5 k= 0.7 and α =1 k= 0.72 =0.5 and α =1 Single MOFET Vdd 0.7 Vdd 0.5 Lg 0.7 Lg 0.5 Id 0.7 Id 0.5 Cg 0.7 Cg 0.5 P (Power)/Clock P (Power)/Clock 0.73 = 0.34 0.53 = 0.125 τ (Switching time) 0.7 τ (Switching time) 0.5 Chip N (# of Tr) 1/0.72 = 2 N (# of Tr) 1/0.52 = 4 f (Clock) 1/0.7 = 1.4 f (Clock) 1/0.5 = 2 P (Power) 1 P (Power) 1 6 - The concerns for limits of down-scaling have been announced for every generation. -
Moore's Law: the Future of Si Microelectronics
Moore’s law: the future of Si microelectronics Soon after Bardeen, Brattain, and Shockley invented a solid-state device in 19471 to replace electron vacuum tubes, the microelectronics industry and a revolution started. Since its birth, the industry has experienced four decades of unprecedented explosive growth driven by two factors: Noyce and Kilby inventing the planar integrated circuit2,3 and the advantageous characteristics that result from scaling (shrinking) solid-state devices. Scott E. Thompson and Srivatsan Parthasarathy SWAMP Center, Department of Electrical and Computer Engineering, University of Florida, Gainsville, FL 32611-6130 USA E-mail:[email protected], [email protected] Scaling solid-state devices has the peculiar property of improving approaches under investigation are: (1) nonclassical CMOS, which cost, performance, and power, which has historically given any consists of new channel materials and/or multigate fully depleted company with the latest technology a large competitive device structures; and (2) alternatives to CMOS, such as spintronics, advantage in the market. As a result, the microelectronics single electron devices, and molecular computing8,9. While some of industry has driven transistor feature size scaling from 10 µm to these non-Si research areas are important and will be successful in ~30 nm4-6 during the past 40 years. During most of this time, new applications and markets10, it seems unlikely any of the non-Si scaling simply consisted of reducing the feature size. However, options can replace the Si transistor for the $300 billion during certain periods, there were major changes as with the microelectronics industry in the foreseeable future (perhaps as long industry move from Si bipolar to p-channel metal-oxide- as 30 years). -
A Study of the Foundry Industry Dynamics
A Study of the Foundry Industry Dynamics by Sang Jin Oh B.S. Industrial Engineering Seoul National University, 2003 SUBMITTED TO THE MIT SLOAN SCHOOL OF MANAGEMENT IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN MANAGEMENT STUDIES AT THE MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARCHVES JUNE 2010 MASSACHUSETTS INSTiUTE OF TECHNOLOGY © 2010 Sang Jin Oh. All Rights Reserved. The author hereby grants MIT permission to reproduce JUN 082010 and to distribute publicly paper and electronic LIBRARIES copies of this thesis document in whole or in part in any medium now known and hereafter created. Signature of Author Sang Jin Oh Master of Science in Management Studies May 7, 2010 Certified by (7 Michael A. Cusumano SMR Distinguished Professor of Management Thesis Supervisor Accepted by (I Michael A. Cusumano Faculty Director, M.S. in Management Studies Program MIT Sloan School of Management A Study of the Foundry Industry Dynamics By Sang Jin Oh Submitted to the MIT Sloan School of Management On May 7, 2010 In Partial Fulfillment of the Requirements for the Degree of Master of Science in Management Studies Abstract In the process of industrial evolution, it is a general tendency that companies which specialize in a specific value chain have emerged. These companies should construct a business eco-system based on their own platform to compete successfully with vertically integrated companies and other specialized companies. They continue to sustain their competitive advantage only when they share their ability to create value with other eco-system partners. The thesis analyzes the dynamics of the foundry industry. -
Multiprocessing Contents
Multiprocessing Contents 1 Multiprocessing 1 1.1 Pre-history .............................................. 1 1.2 Key topics ............................................... 1 1.2.1 Processor symmetry ...................................... 1 1.2.2 Instruction and data streams ................................. 1 1.2.3 Processor coupling ...................................... 2 1.2.4 Multiprocessor Communication Architecture ......................... 2 1.3 Flynn’s taxonomy ........................................... 2 1.3.1 SISD multiprocessing ..................................... 2 1.3.2 SIMD multiprocessing .................................... 2 1.3.3 MISD multiprocessing .................................... 3 1.3.4 MIMD multiprocessing .................................... 3 1.4 See also ................................................ 3 1.5 References ............................................... 3 2 Computer multitasking 5 2.1 Multiprogramming .......................................... 5 2.2 Cooperative multitasking ....................................... 6 2.3 Preemptive multitasking ....................................... 6 2.4 Real time ............................................... 7 2.5 Multithreading ............................................ 7 2.6 Memory protection .......................................... 7 2.7 Memory swapping .......................................... 7 2.8 Programming ............................................. 7 2.9 See also ................................................ 8 2.10 References ............................................. -
Optimization of Monte Carlo Neutron Transport Simulations with Emerging Architectures Yunsong Wang
Optimization of Monte Carlo Neutron Transport Simulations with Emerging Architectures Yunsong Wang To cite this version: Yunsong Wang. Optimization of Monte Carlo Neutron Transport Simulations with Emerging Archi- tectures. Distributed, Parallel, and Cluster Computing [cs.DC]. Université Paris Saclay (COmUE), 2017. English. NNT : 2017SACLX090. tel-01687913 HAL Id: tel-01687913 https://pastel.archives-ouvertes.fr/tel-01687913 Submitted on 18 Jan 2018 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. NNT : 2017SACLX090 THESE` DE DOCTORAT DE L’UNIVERSITE´ PARIS-SACLAY PREPAR´ E´ A` L’ECOLE´ POLYTECHNIQUE ECOLE´ DOCTORALE No 573 INTERFACES : APPROCHES INTERDISCIPLINAIRES / FONDEMENTS, APPLICATIONS ET INNOVATION Sp´ecialit´ede doctorat: Informatique par M. Yunsong Wang Optimization of Monte Carlo Neutron Transport Simulations by Using Emerging Architectures Th`ese pr´esent´ee et soutenue `a Gif-sur-Yvette, le 14 d´ecembre 2017 : Composition de jury : M. Marc Verderi Directeur de Recherche, CNRS/IN2P3/LLR Pr´esident du jury M. Andrew Siegel Expert Senior, Argonne National Laboratory Rapporteur M. Raymond Namyst Professeur, Universit´ede Bordeaux/LABRI Rapporteur M. David Chamont Charg´ede Recherche, CNRS/IN2P3/LAL Examinateur M. David Riz Ing´enieur,CEA/DAM Examinateur M. -
Design and Analysis of a New Carbon Nanotube Full Adder Cell
Hindawi Publishing Corporation Journal of Nanomaterials Volume 2011, Article ID 906237, 6 pages doi:10.1155/2011/906237 Research Article Design and Analysis of a New Carbon Nanotube Full Adder Cell M. H. Ghadiry,1 Asrulnizam Abd Manaf,1 M. T. Ahmadi,2 Hatef Sadeghi,2 and M. Nadi Senejani3 1 School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, 11800 Penang, Malaysia 2 Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Malaysia 3 Department of Computer Engineering, Islamic Azad University, Ashtian Branch, 39618-13347 Ashtian, Iran Correspondence should be addressed to M. H. Ghadiry, [email protected] Received 10 January 2011; Accepted 27 February 2011 Academic Editor: Theodorian Borca-Tasciuc Copyright © 2011 M. H. Ghadiry et al. 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. A novel full adder circuit is presented. The main aim is to reduce power delay product (PDP) in the presented full adder cell. A new method is used in order to design a full-swing full adder cell with low number of transistors. The proposed full adder is implemented in MOSFET-like carbon nanotube technology and the layout is provided based on standard 32 nm technology from MOSIS. The simulation results using HSPICE show that there are substantial improvements in both power and performance of the proposed circuit compared to the latest designs. In addition, the proposed circuit has been implemented in conventional 32 nm process to compare the benefits of using MOSFET-like carbon nanotubes in arithmetic circuits over conventional CMOS technology. -
AN-Introducing 45Nm Technology in Microwind
Introducing 45 nm technology in Microwind3 MICROWIND APPLICATION NOTE Introducing 45 nm technology in Microwind3 Etienne SICARD Syed Mahfuzul Aziz Professor School of Electrical & Information Engineering INSA-Dgei, 135 Av de Rangueil University of South Australia 31077 Toulouse – France Mawson Lakes, SA 5095, Australia www.microwind.org www.unisa.edu.au email: [email protected] email: [email protected] This paper describes the improvements related to the CMOS 45 nm technology and the implementation of this technology in Microwind3. The main novelties related to the 45 nm technology such as the high-k gate oxide, metal- gate and very low-K interconnect dielectric is described. The performances of a ring oscillator layout and a 6- transistor RAM memory layout are also analyzed. 1. Recent trends in CMOS technology Firstly, we give an overview of the evolution of important parameters such as the integrated circuit (IC) complexity, gate length, switching delay and supply voltage with a prospective vision down to the 22 nm CMOS technology. The trend of CMOS technology improvement continues to be driven by the need to integrate more functions within a given silicon area. Table 1 gives an overview of the key parameters for technological nodes from 180 nm, introduced in 1999, down to 22 nm, which is supposed to be in production around 2011. Demonstration chips using 45-nm technology have been reported starting in 2004. Mass market manufacturing with this technology is scheduled for late 2007. Technology node 130 nm 90 nm 65 nm 45 nm 32 nm 22 nm First production 2001 2003 2005 2007 2009 2011 Effective gate 70 nm 50 nm 35 nm 25 nm 17 nm 12 nm length Gate material Poly Poly Poly Metal Metal Metal Gate dielectric SiO2 SiO2 SiON High K High K High K Kgates/mm2 240 480 900 1500 2800 4500 Memory point (2) 2.4 1.3 0.6 0.3 0.15 0.08 Table 1: Technological evolution and forecast up to 2011 The gate material has long been polysilicon, with silicon dioxide (SiO2) as the insulator between the gate and the channel (Fig. -
Challenges and Innovations in Nano‐CMOS Transistor Scaling
Challenges and Innovations in Nano‐CMOS Transistor Scaling Tahir Ghani Intel Fellow Logic Technology Development October, 2009 Nikkei Presentation 1 Outline • Traditional‐Scaling ‐ Traditional Scaling Limiters, Device Implications ‐ Intel’s Response • Post “Traditional‐Scaling” Innovations ‐ Mobility Booster: Uniaxial Strain - Poly Depletion Elimination: Metal Gate - Gate Leakage Reduction: HiK • Future Challenges and Options - Power Limitation - Potential New Transistor Structures and Materials 40+ Years of Moore’s Law at INTEL: From Few to Billions of Transistors 2X transistors every 2 years Transistor Count has Doubled Every Two Years 40+ Years of Moore’s Law at INTEL: From Few to Billions of Transistors 2X transistors every 2 years Traditional Scaling Era END OF TRADITIONAL SCALING ERA ~ 2003 Lasted ~40 YEARS Top “Traditional-Scaling” Enablers R. Dennard et.al. IEEE JSSC, 1974 • Gate Oxide Thickness Scaling - Key enabler for Lgate scaling • Junction Scaling - Another enabler for Lgate scaling - Improved abruptness (REXT reduction) • Vcc Scaling - Reduce XDEP (improve SCE) - However, did not follow const E field 1990’s: Golden Era of Scaling Vcc, Tox & Lg scaling & increasing Idsat Year 2000: INTEL 90nm CMOS Pathfinding End of “Traditional-Scaling” Era Gate oxide running Mobility degrades out of atoms with scaling 1.E+04 Jox limit VLSI Symp. 2000 300 Universal 1.E+03 NA= Mobility 3x1017 ] 1.E+02 SiO 250 2 2 /(V.s) [Lo et. al, EDL97] 2 1.E+01 18 200 1.3x10 [A/cm 130nm 1.E+00 1.8x1018 OX J 1.E-01 18 150 2.5x10 18 1.E-02 Nitrided SiO2 180nm 3.3x10 1.E-03 Mobility (cm 100 0.51.01.52.02.5 0 0.5 1 1.5 TOX Physical [nm] E EFF [MV/cm] • Gate Oxide Leakage • Universal Mobility Model direct tunneling limited • Ionized impurity scattering T.