Ultralow-Power Reconfigurable Computing with Complementary Nano-Electromechanical Carbon Nanotube Switches

Similar documents
Serial Parallel Multiplier Design in Quantum-dot Cellular Automata

Emerging Research Devices: A Study of CNTFET and SET as a replacement for SiMOSFET

LOGIC CIRCUITS. Basic Experiment and Design of Electronics. Ho Kyung Kim, Ph.D.

Design of Optimized Quantum-dot Cellular Automata RS Flip Flops

Digital Integrated Circuits A Design Perspective

Manufacture of Nanostructures for Power Electronics Applications

1. Introduction : 1.2 New properties:

A Novel Ternary Content-Addressable Memory (TCAM) Design Using Reversible Logic

KINGS COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING QUESTION BANK

DELAY EFFICIENT BINARY ADDERS IN QCA K. Ayyanna 1, Syed Younus Basha 2, P. Vasanthi 3, A. Sreenivasulu 4

NEM Relay Design for Compact, Ultra-Low-Power Digital Logic Circuits

Lecture 22 Chapters 3 Logic Circuits Part 1

EN2912C: Future Directions in Computing Lecture 08: Overview of Near-Term Emerging Computing Technologies

LOGIC CIRCUITS. Basic Experiment and Design of Electronics

Floating Point Representation and Digital Logic. Lecture 11 CS301

Parallel Processing and Circuit Design with Nano-Electro-Mechanical Relays

Digital Integrated Circuits A Design Perspective. Semiconductor. Memories. Memories

NANO-ELECTRO-MECHANICAL SWITCH (NEMS) FOR ULTRA- LOW POWER PORTABLE EMBEDDED SYSTEM APPLICATIONS ANALYSIS, DESIGN, MODELING, AND CIRCUIT SIMULATION

Carbon Nanotube Electronics

Directions for simulation of beyond-cmos devices. Dmitri Nikonov, George Bourianoff, Mark Stettler

Topics. Dynamic CMOS Sequential Design Memory and Control. John A. Chandy Dept. of Electrical and Computer Engineering University of Connecticut

BINARY TO GRAY CODE CONVERTER IMPLEMENTATION USING QCA

Stretching the Barriers An analysis of MOSFET Scaling. Presenters (in order) Zeinab Mousavi Stephanie Teich-McGoldrick Aseem Jain Jaspreet Wadhwa

Chapter 7. Sequential Circuits Registers, Counters, RAM

There's Plenty of Room at the Bottom

Sequential Logic Circuits

Introduction to Computer Engineering. CS/ECE 252, Fall 2012 Prof. Guri Sohi Computer Sciences Department University of Wisconsin Madison

NANOTECHNOLOGY FOR ELECTRONICS AND SENSORS APPLICATIONS

Two Bit Arithmetic Logic Unit (ALU) in QCA Namit Gupta 1, K.K. Choudhary 2 and Sumant Katiyal 3 1

I. Motivation & Examples

International Journal of Advanced Research in ISSN: Engineering Technology & Science

Objective and Outline. Acknowledgement. Objective: Power Components. Outline: 1) Acknowledgements. Section 4: Power Components

I. Motivation & Examples

Semiconductor Memories

DESIGN OF QCA FULL ADDER CIRCUIT USING CORNER APPROACH INVERTER

DocumentToPDF trial version, to remove this mark, please register this software.

I. INTRODUCTION. CMOS Technology: An Introduction to QCA Technology As an. T. Srinivasa Padmaja, C. M. Sri Priya

S No. Questions Bloom s Taxonomy Level UNIT-I

Administrative Stuff

GHZ ELECTRICAL PROPERTIES OF CARBON NANOTUBES ON SILICON DIOXIDE MICRO BRIDGES

Hw 6 and 7 Graded and available Project Phase 2 Graded Project Phase 3 Launch Today

3/10/2013. Lecture #1. How small is Nano? (A movie) What is Nanotechnology? What is Nanoelectronics? What are Emerging Devices?

Supporting Information

Chapter 4. Sequential Logic Circuits

A Bistable Silicon Nanofin An ideal device for nonvolatile memory applications.

CMOS Scaling. Two motivations to scale down. Faster transistors, both digital and analog. To pack more functionality per area. Lower the cost!

RAJASTHAN TECHNICAL UNIVERSITY, KOTA

Design of an Optimal Decimal Adder in Quantum Dot Cellular Automata

Available online at ScienceDirect. Procedia Computer Science 70 (2015 ) Bengal , India

Radiation Effects in Nano Inverter Gate

MOSFET: Introduction

I-V characteristics model for Carbon Nanotube Field Effect Transistors

Dynamic Combinational Circuits. Dynamic Logic

GMU, ECE 680 Physical VLSI Design 1

EE141Microelettronica. CMOS Logic

Mutually-Actuated-Nano-Electromechanical (MA- NEM) Memory Switches for Scalability Improvement

Digital Logic. CS211 Computer Architecture. l Topics. l Transistors (Design & Types) l Logic Gates. l Combinational Circuits.

Novel Devices and Circuits for Computing

CMOS Inverter. Performance Scaling

EE141- Fall 2002 Lecture 27. Memory EE141. Announcements. We finished all the labs No homework this week Projects are due next Tuesday 9am EE141

DESIGN OF A COMPACT REVERSIBLE READ- ONLY-MEMORY WITH MOS TRANSISTORS

F14 Memory Circuits. Lars Ohlsson

MTJ-Based Nonvolatile Logic-in-Memory Architecture and Its Application

Design and Implementation of Carry Adders Using Adiabatic and Reversible Logic Gates

Reversible Implementation of Ternary Content Addressable Memory (TCAM) Interface with SRAM

SEU RADIATION EFFECTS ON GAA-CNTFET BASED DIGITAL LOGIC CIRCUIT

Digital Integrated Circuits A Design Perspective

Digital Integrated Circuits Designing Combinational Logic Circuits. Fuyuzhuo

ESE 570: Digital Integrated Circuits and VLSI Fundamentals

CMOS Digital Integrated Circuits Lec 13 Semiconductor Memories

Design Of Ternary Logic Gates Using CNTFET

Analysis And Design Of Priority Encoder Circuit Using Quantum Dot Cellular Automata

STUDY AND IMPLEMENTATION OF MUX BASED FPGA IN QCA TECHNOLOGY

Design of Multiplexer Based 64-Bit SRAM using QCA

VLSI. Faculty. Srikanth

A NOVEL PRESENTATION OF PERES GATE (PG) IN QUANTUM-DOT CELLULAR AUTOMATA(QCA)

Lecture 25. Semiconductor Memories. Issues in Memory

DESIGN AND ANALYSIS OF A FULL ADDER USING VARIOUS REVERSIBLE GATES

Dynamic Combinational Circuits. Dynamic Logic

Carbon Nanotubes for Interconnect Applications Franz Kreupl, Andrew P. Graham, Maik Liebau, Georg S. Duesberg, Robert Seidel, Eugen Unger

Low Voltage Field Emission SEM (LV FE-SEM): A Promising Imaging Approach for Graphene Samples

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Sciences

Designing Cellular Automata Structures using Quantum-dot Cellular Automata

SEMICONDUCTOR MEMORIES

! Charge Leakage/Charge Sharing. " Domino Logic Design Considerations. ! Logic Comparisons. ! Memory. " Classification. " ROM Memories.

ELCT201: DIGITAL LOGIC DESIGN

Metallic: 2n 1. +n 2. =3q Armchair structure always metallic = 2

Graphene A One-Atom-Thick Material for Microwave Devices

ECE321 Electronics I

NEM Relays Using 2-Dimensional Nanomaterials for Low Energy Contacts

ELEN Electronique numérique

Introduction to CMOS VLSI Design Lecture 1: Introduction

Advanced Flash and Nano-Floating Gate Memories

CMPEN 411 VLSI Digital Circuits. Lecture 03: MOS Transistor

An Overview of Spin-based Integrated Circuits

A final review session will be offered on Thursday, May 10 from 10AM to 12noon in 521 Cory (the Hogan Room).

Lecture 0: Introduction

Designing a Carbon Nanotube Field-Effect Transistor with High Transition Frequency for Ultra-Wideband Application

DESIGN OF AREA DELAY EFFICIENT BINARY ADDERS IN QUANTUM-DOT CELLULAR AUTOMATA

Design of A Efficient Hybrid Adder Using Qca

Transcription:

Ultralow-Power Reconfigurable Computing with Complementary Nano-Electromechanical Carbon Nanotube Switches Presenter: Tulika Mitra Swarup Bhunia, Massood Tabib-Azar, and Daniel Saab Electrical Eng. And Computer Science Dept. Case Western Reserve University, Cleveland, USA Email: {skb21, mxt7, dgs3}@case.edu

Outline Motivation and Background Device and Technology Circuit Implementation Architectural Fabric Modeling and Results Conclusion

Motivation and Background CMOS devices have served us marvelously for past four decades Intrinsic physical limitations of CMOS devices have emerged as barrier to further scaling Increasing process variations Reduced transconductance Higher leakage due to increasing short-channel effect Alternative devices need to be explored with matching circuit design style and architectural framework CNTFET Molecular and macro-molecular molecular electronics Single Electron Transistor (SET) Quantum Cellular Automata (QCA)

Motivation and Background Most of the emerging devices are prohibitive in terms of manufacturing cost or Does not allow a smooth transition from conventional CMOS To overcome some of the limitations of emerging solutions: We propose a novel device referred as - Complementary Nano Electro- Mechanical Switch (CNEMS)

CNTs One-dimensional molecular-scale structures CNTS can be single or multi-walled High thermal conductivity and stability Adjustable and interesting electrical properties Electrical conductivity: Metallic or semiconducting Electrical transport: Ballistic, no scattering Large Young s s Modulus Can be grown and integrated with CMOS and other electronics

Prior Work: CNT-NEMS NEMS APL 05 Nano Letters 06 Nano Letters 04 (a) (b) (c) (a) Self-assembled switches based on electroactuated multi-walled nanotubes; (b) Single-walled nanotubes (SWNTs) suspended over shallow trenches in SiO2, with a Nb pull electrode; (c) Three-terminal carbon nanorelay of a CNT cantilever beam switch.

Proposed Device and Technology #2 #3 L CNT2 CNT1 CNT3 #1 d cnt The central CNT (CNT1) is either touching the top (CNT2) or bottom (CNT3) carbon nanotube. The latching is caused by the van der Waals force and the energy stored in CNT1 is recovered when it is transitioned. Complementary nano electromechanical switch (CNEMS).

CNEMS Schematic of CNEMS switching cycles a) A voltage pulse (V1) causes CNT1 to be attracted to CNT2. b) Upon touching, the van der Waals force latches CNT1 to CNT2. c) To transition the switch, CNT1 and CNT2 are connected together and a voltage pulse (V2) is applied between CNT1 and CNT3. d) Unlatching of CNT1 from CNT2 and latching CNT1 to CNT3. V2<<V1 because the energy stored in CNT1 in (b) is recovered in (d). e) To reset, a bottom gate will be used to apply a voltage pulse to all CNTs

CNEMS I/Ion 1.2 1 0.8 0.6 0.4 0.2 0 I 13 Switched later 0 5 10 15 20 I 12 Switched first 2 1 3 Switching characteristics of CNEMS (L~50nm, d1~3.5nm, d2~3nm, and dcnt~20nm, and d~10nm). Voltage (V) Scaling Issues: Clearly CNTs can be scaled down to 1nm diameter and sub-10nm lengths. The main constraints are: how large of an initial programming threshold voltages are allowed how precisely CNT length and CNT-CNT distances can be controlled in the fabrication process.

Carbon Nanotube Growth Process: SEM image Carbon nanotubes (CNTs) grown using a metal-catalyzed (iron) chemical vapor deposition technique using C2H2 between two raised silicon posts. The self-aligned and welded CNTs can be grown into any layer that can withstand the growth temperature of 500-800 C.

CNEMS properties Ultra large scale integration Fabrication on the same substrate as CMOS Switching speed comparable to CMOS (~1 GHz) Virtually no leakage (negligible tunneling current) Ultra low transition power due to internal energy storage mechanism (Similar to Feynman 82 and Bennett 73 computation device) Latching mechanism allows every device to be used as a non-volatile memory cell

Circuit Design Style A B C A B C Out 0 0 0 Open 0 0 0 Open 0 0 1 Indet 0 0 1 Illegal 0 1 0 B-C 0 1 0 1 0 1 1 A-C 0 1 1 0 1 0 0 A-C 1 0 0 1 1 0 1 B-C 1 0 1 0 1 1 0 Indet 1 1 0 Illegal 1 1 1 Open 1 1 1 Open Schematic of the CNEMS Programming CNEMS Logical behavior of CNEMS

CNEMS Circuits Configuration of a decoder (2X4) for A=1, B=1, implemented with CNEMS Design of a Look Up Table using CNEMS

CNEMS Sequential Element An inverting clocked latch design using the CNEMS device. The complement of the data input at D is latched by the clock. Latch storing logic 1 in response to a data value 0. Note that it is an inverting latch. Latch storing logic 0.

Circuit Level Properties Conventional logic style using CNEMS is not feasible However, each CNEMS can be used as non-volatile memory Two CNEMS can make a sequential element (clocked latch) Radiation hard (no soft error ) Negligible leakage in memory cell Read/write speed is comparable to CMOS Writing takes very little energy due to internal energy storage CNEMS is suitable for LUT-based architecture Order of magnitude less ON resistance No requirement of SRAM-cells for storing configuration Instant-On Systems

Modeling and Simulation R12 C12 P2 P1 L12 L13 C23 The simple model of the switch that is used in circuit simulation C13 P3 R13 Table 1. Comparison of delay and power results between CMOS and CNEMS implementation Delay (sec) Power (watt) Circuit CNEMS CMOS (70nm, CNEMS CMOS (70nm, 1V, 100 C) 1V, 100 C) Dynamic Leakage Total Ripple Carry Adder (4-bit) 6.125e-11 1.392e-10 58.38e-08 6.570e-06 8.972e-06 1.542e-05 Magnitude Comparator (4-bit) 7.877e-11 3.481e-11 18.07e-08 1.859e-06 2.689e-06 4.548e-06 Priority encoder (8:3) 5.252e-11 7.143e-11 23.63e-08 2.470e-06 3.328e-06 5.798e-06 Even Parity (8-bit) 6.127e-11 2.205e-10 29.19e-08 3.701e-06 4.903e-06 8.604e-06

Conclusion We have proposed a novel device: CNEMS, which shows promises as an alternative to CMOS at the end of its roadmap! Two important properties of CNEMS are: Internal energy storage Latching mechanism leading to non-volatile memory implementation Circuit design with CNEMS is proposed Low power and robust logic and memory can be developed with CNEMS CNEMS are also easily amenable for reconfigurable architectural fabric Accurate simulation models are being developed and fabrication of simple logic circuits are underway.