1 Systems Technology Lab, Intel Research Berkeley 2 Mechanical Engineering, Stanford University Dissipation and Entropy Flow in Logic Fundamental Limits.

Slides:



Advertisements
Similar presentations
Is Dual Gate Device Structure Better From a Thermal Perspective? D. Vasileska, K. Raleva and S. M. Goodnick Arizona State University Tempe, AZ USA.
Advertisements

Kameshwar K. Yadavalli, Alexei O. Orlov, Ravi K. Kummamuru, John Timler, Craig Lent, Gary Bernstein, and Gregory Snider Department of Electrical Engineering.
SFB C4 06/06 1/15 Anja Zimmer Friedrich-Schiller-University Jena, Germany 3 rd ILIAS-GW Meeting, London October 27 th 2006 Relaxation mechanisms in solids.
Quantum Mechanics and Spin-Valves Thomas Prevenslik QED Radiations Discovery Bay, Hong Kong The 13th IEEE Inter. Conf. on Nanotechnology, August 5-8, Beijing,
AME Int. Heat Trans. D. B. GoSlide 1 Non-Continuum Energy Transfer: Overview.
Advance Nano Device Lab. Fundamentals of Modern VLSI Devices 2 nd Edition Yuan Taur and Tak H.Ning 0 Ch5. CMOS Performance Factors.
Carrier Transport Phenomena
ME 595M J.Murthy1 ME 595M: Computational Methods for Nanoscale Thermal Transport Lecture 10:Higher-Order BTE Models J. Murthy Purdue University.
Thermal Transport in NanoStructures A review of Quantized Heat Transfer Patrick Miller April 12, 2006.
AISAMP Nov’08 1/25 The cost of information erasure in atomic and spin systems Joan Vaccaro Griffith University Brisbane, Australia Steve Barnett University.
Stanford - SSRL: J. Lüning W. Schlotter H. C. Siegmann Y. Acremann...students Berlin - BESSY: S. Eisebitt M. Lörgen O. Hellwig W. Eberhardt Probing Magnetization.
Reversible Computing Architectural implementation using only reversible primitives Perform logical operations in a reversible manner May be used to implement.
SSL UC Berkeley 2010 June ACE/SOHO/STEREO/Wind Workshop Interplanetary Propagation of Solar Impulsive Energetic Electrons Linghua Wang, Bob Lin and S ä.
Motivati on. Energy and Nanotechnology Gang Chen Rohsenow Heat and Mass Transfer Laboratory Mechanical Engineering Department Massachusetts Institute.
Thermal Equivalent Circuit for a Transistor. Junction Temperature Case TemperatureHeat Sink Temperature Ambient Temperature.
Temperature-Aware Design Presented by Mehul Shah 4/29/04.
Valencia Bernd Hüttner Folie 1 New Physics on the Femtosecond Time Scale Bernd Hüttner CphysFInstP DLR Stuttgart.
ME 595M J.Murthy1 ME 595M: Computational Methods for Nanoscale Thermal Transport Lecture 11:Extensions and Modifications J. Murthy Purdue University.
POWER TRANSISTOR – MOSFET Parameter 2N6757 2N6792 VDS(max) (V)
ME381R Lecture 1 Overview of Microscale Thermal Fluid Sciences and Applications Dr. Li Shi Department of Mechanical Engineering The University of Texas.
Lecture 19 OUTLINE The MOSFET: Structure and operation
© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Nanoelectronics: –Higher packing density  higher power density –Confined geometries –Poor thermal properties.
INAC The NASA Institute for Nanoelectronics and Computing Purdue University Circuit Modeling of Carbon Nanotubes and Their Performance Estimation in VLSI.
International Conference on Intelligent Computing - ICIC Zhengzhou, August 11-14, 2011 Memristors by Quantum Mechanics Thomas Prevenslik QED Radiations.
Thermoelectricity of Semiconductors
Caltech collaboration for DNA-organized Nanoelectronics The Caltech DNA- nanoelectronics team.
December 2, 2011Ph.D. Thesis Presentation First principles simulations of nanoelectronic devices Jesse Maassen (Supervisor : Prof. Hong Guo) Department.
1 Numerical Simulation of Electronic Noise in Si MOSFETs C. Jungemann Institute for Electronics Bundeswehr University Munich, Germany Acknowledgments:
Chapter 2 Some Concepts Definitions.
Limitations of Digital Computation William Trapanese Richard Wong.
Nanoscale Heat Transfer in Thin Films Thomas Prevenslik Discovery Bay, Hong Kong, China 1 ASME Micro/Nanoscale Heat / Mass Transfer Int. Conf., Dec ,
Prospects for High-Aspect-Ratio FinFETs in Low-Power Logic Mark Rodwell, Doron Elias University of California, Santa Barbara 3rd Berkeley Symposium on.
Modeling thermoelectric properties of TI materials: a Landauer approach Jesse Maassen and Mark Lundstrom Network for Computational Nanotechnology, Electrical.
QED Cooling of Electronics Thomas Prevenslik QED Radiations Discovery Bay, Hong Kong IEEE NEMS 2014 – 9 th Int. Conf. Nano/Micro Systems, April ,
Scaling of the performance of carbon nanotube transistors 1 Institute of Applied Physics, University of Hamburg, Germany 2 Novel Device Group, Intel Corporation,
Unphysical Heat Transfer by Molecular Dynamics Thomas Prevenslik QED Radiations Discovery Bay, Hong Kong Inter. Conf. Frontiers Mechanical/Materials Engineering.
Yoon kichul Department of Mechanical Engineering Seoul National University Multi-scale Heat Conduction.
Electron-Phonon Interaction and Disorder: Nanoscale Interference in Transport Phenomena Andrei Sergeyev, SUNY at Buffalo, DMR Thermomagnetic vortex.
Lecture Note. Definition Thermodynamics is derived from two words: ‘Thermo’ which means ‘Heat energy’ and ‘Dynamics’ which means ‘conversion’ or ‘transformation’
Russian Research Center” Kurchatov Institute” Theoretical Modeling of Track Formation in Materials under Heavy Ion Irradiation Alexander Ryazanov “Basic.
Present – Past -- Future
7.1.1 Hyperbolic Heat Equation
12 th Intersociety Conf. Thermal Phenomenon in Electronic Systems ; June 2-5, 2010, Las Vegas Thermophones by Quantum Mechanics Thomas Prevenslik QED Radiations.
12/8/2015A. Ali Yanik, Purdue University1 Spin Dependent Electron Transport in Nanostructures A. Ali Yanik † Dissertation † Department of Physics & Network.
ME 381R Fall 2003 Micro-Nano Scale Thermal-Fluid Science and Technology Lecture 11: Thermal Property Measurement Techniques For Thin Films and Nanostructures.
EE141 © Digital Integrated Circuits 2nd Introduction 1 Principle of CMOS VLSI Design Introduction Adapted from Digital Integrated, Copyright 2003 Prentice.
Particle Transport Theory in Thermal Fluid Systems:
1 ME 381R Lecture Semiconductor Devices and Thermal Issues Dr. Li Shi Department of Mechanical Engineering The University of Texas at Austin Austin,
Physical Limits of Computing Dr. Mike Frank Slides from a Course Taught at the University of Florida College of Engineering Department of Computer & Information.
Compact Power Supplies Based on Heterojunction Switching in Wide Band Gap Semiconductors NC STATE UNIVERSITY UCSB Steady-State and Transient Electron Transport.
PHYS 172: Modern Mechanics Lecture 24 – The Boltzmann Distribution Read 12.7 Summer 2012.
Evanescent waves cannot exist in the near-field! Thomas Prevenslik QED Radiations Discovery Bay, Hong Kong Bremen Workshop on Light Scattering 2016, Bremen,
Thermal Conduction in Metals and Alloys Classical Approach From the kinetic theory of gases ) where, l is mean free path.
Nanoelectronics Part II Many Electron Phenomena Chapter 10 Nanowires, Ballistic Transport, and Spin Transport
Smruti R. Sarangi IIT Delhi
POWER TRANSISTOR – MOSFET Parameter 2N6757 2N6792 VDS(max) (V)
Semiconductor Device Modeling
Contact Resistance Modeling and Analysis of HEMT Devices S. H. Park, H
Boltzmann Transport Equation for Particle Transport
“Low Field”  Ohm’s “Law” holds J  σE or vd  μE
Contact Resistance Modeling in HEMT Devices
Heat Transfer in Nanoelectronics by Quantum Mechanics
Novel Scattering Mechanisms for Nanotube-Silicon Devices
Introduction to Nanoheat; Aspel group
Nano for Energy Increased surface area Interface and size effects
Lecture 19 OUTLINE The MOSFET: Structure and operation
Nonequilibrium Green’s Function with Electron-Phonon Interactions
Motivation.
Potential and kinetic energy 1
Multiscale Modeling and Simulation of Nanoengineering:
Presentation transcript:

1 Systems Technology Lab, Intel Research Berkeley 2 Mechanical Engineering, Stanford University Dissipation and Entropy Flow in Logic Fundamental Limits and Engineering Challenges Sanjiv Sinha 1 and Ken Goodson 2

International Workshop on Nanoscale Energy Conversion and Information Processing Devices, Nice Minimal Energy in Logic SNL theory ~ kT ln 2 ~ 17 meV Practical ~ 40 kT ~ 1 eV Cramer et al., Science 288, 640(2000) ~ O (10 kT) per nucleotide 1 Landauer, IBM J Res Dev, 5, 183 (1961) Bennett, Int. J. Theor. Phys., 21, 905 (1982) Intel Dothan 10 6 kT ~ 10 keV Intel Electronic irreversible computing produces Joule heat

International Workshop on Nanoscale Energy Conversion and Information Processing Devices, Nice Length Scales in Internal Energy Flow Characteristic Length 1mm 1  m0.1  m 10 nm1 nm5 A° FourierDiffusionSemi-Classical Atomistic StronglyQuantum Continuum Problem Level 1 cm Devices Circuits Die/Chip System Heat Flow Path T_die ?

International Workshop on Nanoscale Energy Conversion and Information Processing Devices, Nice Time Scales in Internal Energy Flow time Power Time (sec) Junction Temperature Rise (C) 90 Thermal Mass die package system heat sink T_die (  ~ 1-10ms) T_HS (  ~ 100s) T_pkg (  ~ 1s) T_sys (  ~ 1000s) 0.1 ps ps 100 s Hot Electrons Hot Phonons Thermal Phonons Heat Sink =15.4 THz Hotspot Sinha et al, J. Heat Transfer, 128 (2006)

International Workshop on Nanoscale Energy Conversion and Information Processing Devices, Nice Electron-Phonon Interactions Buried Oxide Source Drain gate 18 nm 4 nm 65 W/  m 3 T(K) SD BOX Temperature field using phonon Boltzmann Transport model LO LA1 TA1 3-phonon decay Sinha et al., J. Appl. Phys., 97, (2005) Intervalley Electron Scattering

International Workshop on Nanoscale Energy Conversion and Information Processing Devices, Nice Minimal Energy Dissipated Per Switch Landauer’s 1-particle-in-a-bistable-well model E = kT (ln2) Bate’s 2 level multi-particle QM logic gate model E = kT c ln2 For comparison, = P DYNAMIC x t DELAY ~ 1 fJ today 1 0 Landauer, IBM J Res Dev, 5, 183 (1961) Bate, VLSI Electronics, 5 (1982)

International Workshop on Nanoscale Energy Conversion and Information Processing Devices, Nice The Heat Transfer Limited Power Density T switch T contact T die T atm Phonon conduction limited Technology limited Interface physics limited Switch Die and Package System Sinha et al, Under Review, IEEE Trans. Electron Devices

International Workshop on Nanoscale Energy Conversion and Information Processing Devices, Nice Conduction Across The -n Interface  th T switch Nano to Micro bridge Switch Microscale contact Heat flow Micro to Nano Address Block (MNAB)

International Workshop on Nanoscale Energy Conversion and Information Processing Devices, Nice Estimate Including Macroscopic Heat Flow Always will need to reject to the ambient Convection/radiation limits will remain dominant

International Workshop on Nanoscale Energy Conversion and Information Processing Devices, Nice Comments Not quite a fundamental limit nor a technological figure; Somewhere in the middle Essential challenge is how do we enhance rejection to the sink Assumption of local equilibrium in the switch may not hold Comparisons SNL based theory - > ~ MW/cm 2 Best case demonstrated -> ~ 300 W/cm 2

International Workshop on Nanoscale Energy Conversion and Information Processing Devices, Nice In Summary Logic devices are “inefficient” by several orders of magnitude above the SNL limit Irreversible Joule heating creates hotspots on the order of 10 nm and power density on the order of 10 W/  m 3 Conduction from the transistor is complicated due to phonon relaxation and interfaces We estimate an optimistic power density ~ kW/cm 2 How close can we get to this?