Leveraging the 40-Nm Process Node to Deliver the World's Most
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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. -
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. -
Apple U1 Ultra Wideband (UWB) Analysis
Apple U1 Ultra Wideband (UWB) Analysis Product Brief – October 2019 techinsights.com All content © 2019. TechInsights Inc. All rights reserved. GLOBAL LEADER IN IP & TECHNOLOGY INTELLIGENCE By revealing the innovation others can’t inside advanced technology products, we prove patent value and drive the best Intellectual Property (IP) and technology investment decisions Technology Intelligence Intellectual Property Services We help decision makers in semiconductor, system, financial, We help IP Professionals in global technology companies, and communication service provider companies: licensing entities and legal firms to: • Discover what products are winning in the highest- • Build higher quality, more effective patents growth markets and why • Identify patents of value and gather evidence of use to • Spot or anticipate disruptive events, including the demonstrate this value entrance of new players • Obtain accurate data for planning a potential defensive • Understand state-of-the-art technology strategy or assertion case through independent, objective analysis • Make better portfolio management decisions to invest, • Make better, faster product decisions with greater abandon, acquire or divest confidence • Understand their competition, identify strategic partners, • Understand product costs and bill of materials acquisition targets and business threats 2 All content © 2019. TechInsights Inc. All rights reserved. TechInsights has been publishing technology analysis for 30 years, enabling our customers to advance their intellectual property -
Operational Highlights
078 079 5.1 Business Activities 5.2 Technology Leadership ●Developed integrated fan-out on substrate (InFO-oS) Gen-3, which provides more chip partition integration with larger 5.1.1 Business Scope 5.2.1 R&D Organization and Investment package size and higher bandwidth As the founder and a leader of the dedicated semiconductor foundry segment, TSMC provides a full range of integrated In 2020, TSMC continued to invest in research and ●Expanded 12-inch Bipolar-CMOS-DMOS (BCD) technology semiconductor foundry services, including the most advanced process technologies, leading specialty technologies, the most development, with total R&D expenditures amounting to 8.2% portfolio on 90nm, 55nm and 22nm, targeting a variety of comprehensive design ecosystem support, excellent manufacturing productivity and quality, advanced mask technologies, and of revenue, a level that equals or exceeds the R&D investment fast-growing applications of mobile power management ICs 3DFabricTM advanced packaging and silicon stacking technologies, to meet a growing variety of customer needs. The Company of many other leading high-tech companies. with various levels of integration strives to provide the best overall value to its customers and views customer success as TSMC’s own success. As a result, TSMC has ●Achieved technical qualification of 28nm eFlash for gained customer trust from around the world and has experienced strong growth and success of its own. Faced with the increasingly difficult challenge to continue automobile electronics and micro controller units (MCU) extending Moore’s Law, which calls for the doubling of applications 5.1.2 Customer Applications semiconductor computing power every two years, TSMC has ●Began production of 28nm resistive random access memory focused its R&D efforts on offering customers first-to-market, (RRAM) as a low-cost solution for the price sensitive IoT TSMC manufactured 11,617 different products for 510 customers in 2020. -
TSMC Integrated Fan-Out (Info) Package Apple A10
Electronic Costing & Technology Experts 21 rue la Nouë Bras de Fer 44200 Nantes – France Phone : +33 (0) 240 180 916 email : [email protected] www.systemplus.fr September 2016 – Version 1 – Written by Stéphane ELISABETH DISCLAIMER : System Plus Consulting provides cost studies based on its knowledge of the manufacturing and selling prices of electronic components and systems. The given values are realistic estimates which do not bind System Plus Consulting nor the manufacturers quoted in the report. System Plus Consulting is in no case responsible for the consequences related to the use which is made of the contents of this report. The quoted trademarks are property of their owners. © 2016 by SYSTEM PLUS CONSULTING, all rights reserved. 1 Return to TOC Glossary 1. Overview / Introduction 4 – A10 Die Analysis 57 – Executive Summary – A10 Die View, Dimensions & Marking – Reverse Costing Methodology – A10 Die Cross-Section – A10 Die Process Characteristics 2. Company Profile 7 – Comparison with previous generation 65 – Apple Inc. – A9 vs. A10 PoP – Apple Series Application processor – A9 vs. A10 Process – Fan-Out Packaging – TSMC Port-Folio 4. Manufacturing Process Flow 70 – TSMC inFO packaging – Chip Fabrication Unit – Packaging Fabrication Unit 3. Physical Analysis 15 – inFO Reconstitution Flow – Physical Analysis Methodology – iPhone 7 Plus Teardown 17 5. Cost Analysis 81 – A10 Die removal – Synthesis of the cost analysis – A10 Package-on-Package Analysis 23 – Main steps of economic analysis – A10 Package View, Dimensions – Yields Hypotheses – A10 Package XRay View – Die Cost Analysis 86 – A10 Package Opening – Wafer Cost – A10 Package Marking – Die Cost – A10 Package Cross-Section – inFO Packaging Cost Analysis 90 – A10 Package Cross-Section – Adhesive & Passivation – Packaging Wafer Cost – A10 package cross-Section - TIVs – Packaging Cost per process Steps – A10 package cross-Section – Solder Balls – Component Cost – A10 package cross-Section – RDL – Land-Side Decoupling Capacitor Analysis 48 6. -
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. -
TSMC Investement in Arizona
Michael R. Splinter Chairman of the Board Senator Robert Menendez Senator Lisa A. Murkowski Honorary Co-Chair Honorary Co-Chair Rupert J. Hammond-Chambers President INTERNAL COMMENTARY: THE STRATEGIC IMPORTANCE OF THE TSMC ARIZONA INVESTMENT MAY 15, 2020 RUPERT J. HAMMOND-CHAMBERS PRESIDENT Taiwan Semiconductor Manufacturing Company (TSMC) is the world’s largest contract chip manufacturer. A key link in the global technology supply chain, it is the most important company most people have never heard of. TSMC, based in Taiwan, is now doubling down on its relationship with the United States in a big way. On Friday, May 15, 2020 TSMC announced the most important technology news of the year; the company committed to building a cutting-edge 5nm fabrication plant (fab) to produce semiconductor chips in Arizona. Its U.S. customers for the chips produced here will not only include U.S. tech companies, but will also include the Pentagon, defense contractors, and the national security community. The visionary founder of TSMC, Morris Chang, imagined a world where fabless semiconductor companies would absorb the financial burden of designing chips, but would outsource their actual production to his TSMC. His vision created a monster that dominates the sector he created - the foundry manufacturing sector – making almost 50% of all chips produced by foundries globally. TSMC’s state-of-the-art process technology and CAPEX investment of approximately US$15 billion/year ensures that it has few, if any, peers. Successive Taiwan governments have continued to nurture TSMC through prioritized access to land, power, and water, thereby allowing it to serve as the beating heart of Taiwan’s technology miracle. -
Semiconductors: a Changing of the Guard
Semiconductors: A Changing of the Guard Richard Spalton MA, CFA Investment Manager Semiconductors: A Changing of the Guard “While an early chip from the 1970s could fit thousands of micrometre-sized transistors, today’s most advanced chips are a complex web of billions of transistors, the smallest of which are just 10nm. To get some idea of how small that is: your fingernails grew 10nm in the time it took to read the previous sentence.”1 Background One of the key enablers of technological progress has been the constantly shrinking size of the transistors on semiconductor chips. Smaller transistors mean that the same number of computations can be completed faster, more efficiently and at lower cost. This concept was famously outlined by Gordon Moore, co-founder of Intel, who in 1965 wrote what became known as Moore’s Law. The manufacturing process for a particular size of transistor is called a process node. Shifting to a new node is highly complex and involves significant capital expenditure. In July 2020 Intel announced that their transition to the 7 nanometre node was running a year behind schedule. This delay will have a significant impact on Intel and its competitors. This announcement marks a changing of the guard in the semiconductor market, with leadership shifting away from Intel towards Taiwan Semiconductor Manufacturing Company (TSMC) and Samsung Electronics. Scale Matters Assessing the future prospects of a company requires an assessment of its industry. Manufacturing semiconductors is highly capital intensive – the industry spends USD 100bn per annum on capital expenditure. Companies also need to spend substantial amounts on R&D because each process node is more complex than the last. -
Needham's Semiconductor Expertise What Does The
The Growth Factor - Commentary by John Barr, [email protected] June 23, 2021 - Vol. 32 The Opportunity We See in Semiconductor Manufacturing (6 minute read) 2020 brought an unprecedented economic shutdown. The pandemic accelerated trends that we have been focused on for a long me; we call this the Great Digital and Life Sciences Acceleration. I would like to zero in on the opportunities in semiconductor manufacturing. I’ve long felt the semiconductor industry has moved beyond a cyclical, PC-driven industry to one of strategic importance. The confluence of manufacturing semiconductors for automotive, data center, machine learning, and remote work electronic systems; remaking the supply chain, and securing supplies for geopolitical needs have created a positive scenario for semiconductor manufacturing technology companies. Needham's Semiconductor Expertise Needham Funds have been owners of semiconductor manufacturing companies since our start in 1996. Needham Funds are an affiliate of Needham & Company, which has completed over 580 underwritings and M&A transactions for semiconductor companies since 1985. Addionally, prior to my Wall Street career, I spent 12 years in sales and markeng for Electronic Design Automaon companies, selling to semiconductor and electronic systems companies. I also spent 8 years as a sell-side senior research analyst following semiconductor design and technical soware companies. I served on the board of directors of venture capital-backed Coventor, Inc., which provided simulaon and modeling soluons for semiconductor process technology and was sold to Lam Research, Inc. in 2017. What Does the Opportunity in Semiconductor Manufacturing Mean for Needham Funds? Growth in advanced semiconductor manufacturing has been a dominant investment theme for Needham Funds for over 10 years. -
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.