Overview of Future Hardware Technologies The chairman’s notes from the plenary session appear in blue throughout this document. Subject to these notes.

Slides:



Advertisements
Similar presentations
Embedded Systems Design: A Unified Hardware/Software Introduction 1 Chapter 10: IC Technology.
Advertisements

Resonant Tunnelling Devices A survey on their progress.
Neuromorphic Analog VLSI West Virginia University
Device Tradeoffs Greg Stitt ECE Department University of Florida.
FUTURE TECHNOLOGIES Lecture 13.  In this lecture we will discuss some of the important technologies of the future  Autonomic Computing  Cloud Computing.
Computer Systems Nat 4/5 Computing Science Types of Computer and Performance.
How to Reach Zettaflops Erik P. DeBenedictis Avogadro-Scale Computing April 17, 2008 The Bartos Theater Building E15 MIT SAND C Sandia is a multiprogram.
Nanoscale molecular- switch crossbar circuits Group 2 J. R. Edwards Pierre Emelie Mike Logue Zhuang Wu.
Resonant Tunneling Diodes Johnny Ling, University of Rochester December 16 th, 2006.
Moore’s Law Kyle Doran Greg Muller Casey Culham May 2, 2007.
Chapter 1. Introduction This course is all about how computers work But what do we mean by a computer? –Different types: desktop, servers, embedded devices.
Introduction What is Parallel Algorithms? Why Parallel Algorithms? Evolution and Convergence of Parallel Algorithms Fundamental Design Issues.
EE 466: VLSI Design Instructor: Amlan Ganguly TA: Souradip Sarkar Meeting: MWF, 12.10pm, Sloan-38.
Prof. John Nestor ECE Department Lafayette College Easton, Pennsylvania ECE Computer Organization Lecture 2 - Technology.
EE314 Basic EE II Silicon Technology [Adapted from Rabaey’s Digital Integrated Circuits, ©2002, J. Rabaey et al.]
Carbon Nanotube Memory Ricky Taing. Outline Motivation for NRAM Comparison of Memory NRAM Technology Carbon Nanotubes Device Operation Evaluation Current.
Prospects for Terabit-scale nano electronic memories Venkata R.Malladi Instructor : Dr.Damian.
Emerging Technologies – A Critical Review Presenter: Qufei Wu 12/05/05.
Future Computers CSCI 107, Spring When Moore’s law runs out of room When transistors become only tens of atoms thick –Quantum mechanics applies.
VLSI System Design Pradondet Nilagupta Department of Computer Engineering Kasetsart University.
INTRODUCTION TO NANOTECHNOLOGY EEE5425 Introduction to Nanotechnology1.
By: Mike Neumiller & Brian Yarbrough
Introduction to Reconfigurable Computing Greg Stitt ECE Department University of Florida.
Nicholas Gomieo Seattle Pacific University Information Systems Management.
1 VLSI and Computer Architecture Trends ECE 25 Fall 2012.
Notre Dame extended Research Community 1 History of Machines: Big to Small Michael Crocker Valerie Goss Patrick Mooney Rebecca Quardokus.
{ The demise of Conventional Computing? Bilal Kaleem, 1 st Year Physics.
Quantum Computers. Overview Brief History Computing – (generations) Current technology Limitations Theory of Quantum Computing How it Works? Applications.
NRAM.
Erik P. DeBenedictis Sandia National Laboratories October 24-27, 2005 Workshop on the Frontiers of Extreme Computing Sandia is a multiprogram laboratory.
LOGO Service and network administration Storage Virtualization.
Multi-core Programming Introduction Topics. Topics General Ideas Moore’s Law Amdahl's Law Processes and Threads Concurrency vs. Parallelism.
Limitations of Digital Computation William Trapanese Richard Wong.
Contents:  Introduction  what do you mean by memristor.  Need for memristor.  The types of memristor.  Characteristics of memristor.  The working.
Reminder Lab 0 Xilinx ISE tutorial Research Send me an if interested Looking for those interested in RC with skills in compilers/languages/synthesis,
Introduction to Reconfigurable Computing Greg Stitt ECE Department University of Florida.
Beyond Moore's Law Spencer Anderson 13- April Moore's Law has both theoretical and practical limits. Most practical limits (e.g. energy, spatial)
Extreme Hardware “Extreme” Definition: very great Synonyms:...consummate, great, greatest, high, highest, intense, maximal, maximum, severe, sovereign,
Software Working Group Chairman’s Note: This document was prepared by the “software and applications” working group and was received by the entire workshop.
Exascale Computing. 1 Teraflops Chip Knight Corner will be manufactured with Intel’s 3-D Tri-Gate 22nm process and features more than 50 cores.
VLSI: A Look in the Past, Present and Future Basic building block is the transistor. –Bipolar Junction Transistor (BJT), reliable, less noisy and more.
Nanoscale Electrochemical Switches Dr. James G. Kushmerick OFFON.
W E L C O M E. T R I G A T E T R A N S I S T O R.
Semiconductor Industry Milestones
“Politehnica” University of Timisoara Course Advisor:  Lucian Prodan Evolvable Systems Web Page:   Teaching  Graduate Courses Summer.
Erik P. DeBenedictis Sandia National Laboratories October 27, 2005 Workshop on the Frontiers of Extreme Computing Overall Outbrief Sandia is a multiprogram.
S. E. Thompson EEL Quantum cellular Automata Quantum Cellular Automata (QCA) refers to any one of several models of quantum computation, which have.
Trends in IC technology and design J. Christiansen CERN - EP/MIC
Computer Architecture Lecture 26 Past and Future Ralph Grishman November 2015 NYU.
Advanced Computing and Information Systems laboratory Nanocomputing technologies José A. B. Fortes Dpt. of Electrical and Computer Eng. and Dpt. of Computer.
Physical Limits of Computing Dr. Mike Frank Slides from a Course Taught at the University of Florida College of Engineering Department of Computer & Information.
The Fate of Silicon Technology: Silicon Transistors Maria Bucukovska Scott Crawford Everett Comfort.
CS203 – Advanced Computer Architecture
SPINTRONICS Submitted by: K Chinmay Kumar N/09/
MOLETRONICS An Invisible technology Amit Dwivedi Ec 3rd Year
SPRING 2012 Assembly Language. Definition 2 A microprocessor is a silicon chip which forms the core of a microcomputer the concept of what goes into a.
Integration Lower sums Upper sums
• Very pure silicon and germanium were manufactured
CS203 – Advanced Computer Architecture
Turkey’s First Chip Factory: AB MicroNano
Introduction to VLSI ASIC Design and Technology
ECE 154A Introduction to Computer Architecture
EE 4611 INTRODUCTION 21 January 2015 Semiconductor Industry Milestones
Introduction to Reconfigurable Computing
Solving the SoC Design Dilemma for IoT Applications with Embedded FPGA
COMPUTERS IN CRISIS Computers have not changed their basic approach since the beginning (von Neumann binary) Conventional computers are commodity items.
The OvonicTM Cognitive Computer
Greg Stitt ECE Department University of Florida
Semiconductor Industry:
• Very pure silicon and germanium were manufactured
Presentation transcript:

Overview of Future Hardware Technologies The chairman’s notes from the plenary session appear in blue throughout this document. Subject to these notes the positions in this document can be taken as the consensus of the workshop.

Future Hardware Technologies  Mainstream CMOS-based silicon devices.  Nanotube memories and transistors.  Nano-imprint crossbar devices.  Superconducting single-flux quantum devices.  Quantum dots and quantum cellular automata.  Reversible computing devices (a class of technologies).  Quantum computing.  Chairman’s Note: Everybody agrees

Conventional CMOS Silicon Devices  Advantages:  Proven, well-understood technology.  Tremendous industry momentum years of Moore’s Law and billions of dollars of R&D behind it.  ITRS projects another ten years (correlate to ITRS) of continuing exponential growth in aggregate performance and capacity.  Huge infrastructure of commercial systems and software.  Viable option for near term (0-10 years).  Disadvantages:  Significant long-term concerns of power and cooling.  Significant concerns of “barrier” about 10 nm (not enough atoms for features to be distinguishable – correlate 10 nm to presenters number).  Subject to fundamental limits of irreversible computing devices.  While feature size gets smaller – clock speed doesn’t necessarily get faster – WS  As traces in copper and/or aluminum there are propagation speed limits – JG Chairman’s Notes from plenary session in blue

Nanotube Transistors and Memories  Advantages:  Being pursued by IBM and venture-funded firms such as Nantero.  Prototype devices have already been produced and tested.  Integrates easily with conventional silicon substrates.  Memory devices retain data when power is off.  Possible ultra-high density memory devices could simplify and accelerate some scientific applications.  Viable option for the mid term (5-15 years).  Disadvantages:  Will face stiff competition with conventional CMOS silicon devices for foreseeable future.  Subject to fundamental limits of irreversible logic devices.  Scant infrastructure of design tools, systems, software.  ED: CNFET universally endorsed as “ultimate transistor” by ITRS and industry Chairman’s Notes from Plenary session in blue

Nantero NRAM™ Device

Nano-Imprint Crossbar Technology  Advantages:  Being developed by a well-funded effort at Hewlett-Packard.  Very high density devices (17 nm features) already demonstrated; 8 nm and 4 nm features within 2 years.  Integrates easily with conventional silicon devices.  Can be used for both memory and logic.  Possible ultra-high density memory devices could simplify and accelerate some scientific applications.  Not based on current, so energy usage should be low. This statement is of questionable accuracy.  Viable option in the mid-term (5-15 years).  Disadvantages:  Will face stiff competition from conventional CMOS silicon devices for the foreseeable future.  Subject to fundamental limits of irreversible computing devices.  Scant infrastructure of design tools, systems, software. Chairman’s Notes from Plenary session in blue

Atomic Force Microscope Image of Prototype HP Device

Superconducting Single-Flux Quantum Devices  Advantages:  Very high speed operation.  Very low power consumption.  Prototype devices have already been demonstrated with clock rates up to 20 GHz; much higher rates are possible (near term with better fab 50 GHz 770 GHz static divider).  Can be produced with standard silicon fabrication equipment.  Viable option for mid term (5-15 years).  Disadvantages:  Requires cryogenic environment.  Will face stiff competition with more conventional devices for foreseeable future.  Subject to fundamental limits of irreversible logic (although reversible variants are possible).  Scant infrastructure of design tools, systems, software.  BM: Lower density than CMOS Chairman’s Notes from plenary session in blue

Quantum Dots and Quantum Cellular Automata  Advantages:  Based on true nanoscale quantum phenomena.  Very fast operation speeds are possible.  Very low power consumption.  Possibility of reversible computing designs.  Viable option for long-term (10-25 years). (Valid research direction that deserves continued support.)  Craig Lent proposed Zettaflops in 10 cm  10 cm chip in his talk  Disadvantages:  Only laboratory demonstrations – no solid large-scale devices yet.  Many questions on underlying physics – more study needed.  Devices may be subject to fundamental limits of irreversible logic.  Minimal infrastructure of design, systems or software.  Question about what algorithms will work with this approach – MF

Quantum Computing  Advantages:  Exponential speedups possible on certain applications.  Not subject to ordinary thermodynamic-based limits of irreversible logic.  Viable option for long term (10-25 years). (The statement “Valid research direction that deserves continued support” was agreed to by all but one participant.)  Disadvantages:  Questions remain as to physical feasibility of large-scale applications.  May be limited to a small set of special applications.  Significant amounts of research are required to better understand fundamental physics and algorithms for these systems Chairman’s Notes from Plenary session in blue