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    3D Stacked Architectures with

    Interlayer Cooling - CMOSAIC

    Prof. John R. Thome, LTCM-EPFL, Project Coordinator

    Prof. Yusuf Leblebici, LSM-EPFL

    Prof. Dimos Poulikakos, LTNT-ETHZ

    Prof. Wendelin Stark, FML-ETHZ

    Prof. David Atienza Alonso, ESL-EPFL

    Dr. Bruno Michel, IBM Zrich Research Laboratory

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    CMOSAIC: Technological Aims

    CMOSAIC aims to make an importantcontribution to the development of the

    first 3D computer chip with a

    functionality per unit volume that nearly

    parallels the functional density of ahuman brain.

    A 3D computer chip with integratedcooling system is expected to:

    -Overcome the limits of air cooling

    -Compress ~1012nanometer sizedfunctional units (1 Tera)

    into one cubic centimeter

    0 2 4 6 8

    Wire Length (mm)

    100

    1000

    10000

    100000

    1000000

    WireCountYield 10-100 fold higher connectivity

    -Cut energy and CO2

    emissions drastically

    2

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    CMOSAIC: Project Objectives

    3

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    Imagine the world of the future: Energy consumption by datacenters and mainframe

    computers is increasing at a rate of ~15% annually.

    Total consumption is currently about 2% of total electricalconsumption in USA.

    Worlds largest supercomputer currently consumes about14MWe.

    New electrical production is increasing at a rate of about 1%

    annually.

    In 2090, allelectrical energy in USA will be consumed byone supercomputer!

    Solution: 3D-ICs will consume much less energy!!!

    3D-ICs: Solution to 2D-IC Energy Crisis?

    4

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    TSV Electrical Interconnects for 3D Chips Stacks

    MSc Student: Lihui Yang, Ph.D. Students: Fengda Sun, Michael Zervas

    (Top view after via etching)

    Polymer passivation on the TSVside walls

    No need for photolithography on

    the CMOS metal

    Difficulty of uniform

    filling for deep trenches

    (Top view after via etching)

    Inorganic dielectric passivation on theTSV side walls

    Passivation on the metal has to be

    removed

    Difficulty of conformal

    deposition for high aspectration vias.

    Annular Through-Silicon-Via Circular Through-Silicon-Via

    Annular ring etching

    and polymer filling

    100umDRIE

    20um

    KOH

    DRIE and KOH via

    etching

    Development of process technologies for annular and circular TSVs

    Fabrication of test wafers for TSV characterization (daisy chain)

    Wafer thickness: 200-500um , Via Diameter: 40-100um

    5

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    Fabrication of the Test Vehicles for Single- and

    Two-Phase Liquid Cooling of 3D Chip Stacks

    Composed of a background heater, hotspot heaters, temperaturesensors and backside microchannels on each layer.

    M.Sc. Students: Will iam Cesar, Gozde Toral, Ph.D. Student: Yuksel Temiz

    Basic Process Steps

    Metal evaporation

    and lift-offSi

    SiO2

    PAD

    Oxide

    sputtering

    Back-side DRIE

    for micro-channels

    Front-side DRIE

    for liquid inlet/outletopenings

    A

    A

    A-A (Side view)

    CHANNELOPENING

    OPENING

    Front-side

    Back-sideComplete test vehicle mounted on a

    printed circuit board with fluid manifolds

    and connections. (IBM-ZLR / EPFL-LSM) Pin model with periodic fluid flow 6

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    Fabrication of the Test Vehicles for Two-Phase

    Cooling of 3D Chip Stacks

    Ph.D. Student: Yuksel Temiz

    EPFL-LTCM / EPFL-LSM

    Sealed test device for two-

    phase micro-channel coolingexperiments with front-side

    hotspot heaters, completely

    designed and manufactured at

    EPFL (LSM / LTCM).

    Channel dimension: 50umwidth, 100um depth

    7

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    2D Multi-Microchannel Flow Boiling Experiment

    Test section

    (1) Silicon multi-microchannel evaporator with

    channel sizes from 100 to 50 microns or even

    less (50 to 100 parallel channels).

    (2) Silicon cover plate with inlet and outlet slitsfor flow stability and copper manifold.

    (3) Edge connector for electrical connections.

    (4) Test element with 1cm2 heater.

    (5) Transient IR temperature measurements.

    Goals

    Create first experimental database for very

    small multi-microchannel evaporators.

    Carry out high-speed 2D flow visualization

    using high speed IR and video cameras. Advance our prediction methods.

    Channels

    Inlet slit Outlet slit

    1 cm

    5

    1 2 3 4

    4

    Ph.D. Student: Sylwia Szczukiewicz

    8

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    Two-Phase Cooling of 3D Stacked Processors

    Test section

    (1) Stacking solder bump technology as

    interconnections.(50 um diameter, 100 um pitch)

    (2) Through Silicon Via technology electrical

    conduction

    (3) Interlayer cooling solder bumps as pin fins

    (4) 2D backside coolercombined with

    interlayer

    avoid CHF(5) 2D results to characterize cold plate copper

    microchannels680 um high, 100 um wide, 72

    um fins with R134a fluid

    Goals

    3D technology packaging solder bumps

    dimensions, shape & distribution

    TSVs LSM EPFL combination

    3D stack tests with low pressure refrigerants

    h, pressure drop, CHF Cooling capabilities

    3 4

    Ph.D. Student:Yassir Madhour (LTCM at IBM)

    9

    Ti St i I P i f E ti

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    Time Strip Image Processing of Evaporating

    Flow in Microchannels: Fluid Mechanisms

    Time strip (a) made from channel video sequence (b) showing nucleation in an

    evaporating film rewetting a dried out region, forG= 100kgs1m2, q= 26 Wcm2

    andx= 70% in 200 micron wide channel (Int. J. Heat Mass Transfer, 2010)

    Post-Doc: Dr. Borhani, LTCM (Vice-Coordinator of CMOSAIC)

    10

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    Numerical Simulation of Microscale

    Two-Phase Flows

    Development

    (1) Two-Phase 3D finite element mesh.

    (2) Continuum surface tension model (Brackbill

    1992).

    (3) Comparison of surface representations. The righthand figure shows points over the surface, leading to

    reducted mass conservations erros.

    (4) Test case: surface tension bringing the perturbed

    geometric shape to its smallest surface.

    Goals

    To create a 3D code using state-of-art

    techniques such as Arbitrary Lagrangian

    Eulerian and DNS.

    Predict two-phase flow in complex geometries. Design tool for micro evaporators.

    3 4

    Ph.D. Student: Gustavo Rabello dos Anjos

    (2)

    (3)

    (1)

    (4)

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    E Effi i t M lti i bl C t l f 3D IC

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    Joint flow rate and task migrationFixed flow rate

    Reactive:Scheduler sends the new job to the

    coolest core for balancing temperatureProactive:

    Temperatureprediction Thermalbalancing among the cores based on the

    forecastVariable flow rate

    T 80C Increment flow rate setting

    T < 80C Decrement flow rate setting

    95%hotspot

    reduction

    ThermalRepistory

    UtilizationRepistory

    Controller L1

    L3L2

    Task migrator

    CompressorActuator

    Inference Engine

    For Prediction

    Environment sensing

    Multivariable Takagi-Sugeno flow rate and DVFSFuzzy controller

    Discrete (limited) VF settings and flow rate values.

    Implies minimal Fuzzy rule base.

    Reactive or Proactive implementations.

    Output is limited between minimal and maximum

    actuating values.Adaptability of Fuzzy control.

    Possibility of added task migration triggering signal.

    Future Work:

    Energy Efficient Multivariable Control for 3D-ICs

    With Liquid and Two-Phase Cooling

    Ph.D. Student: Mohamed M. Sabry

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    F t C t T i t Th l M d l (CTTM)

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    Finite Difference Approximation for a

    microchannel Thermal Cell

    RqTTAucx

    TTTk

    t

    TRc SSyyavp

    ki

    iiiip

    12

    ,

    2

    11 2

    0.18 0.2 0.22 0.24 0.26 0.2835

    35.5

    36

    36.5

    37

    37.5

    38

    38.5

    39

    Time (s)

    TemperatureoC

    Proposed Model

    CFD Simulation

    Microchannel and the silicon surrounding it are

    divided into thermal cells

    a FD approximation-based RC circuit is created-

    similar to conventional compact modeling

    Voltage controlled current sources model

    convectional transport of heat downstream

    Correlation-based Nusselt numbers are used to

    model heat transfer from Silicon walls into thecenter of the fluid

    Compact: very small problem size for large diesTransient: gives temperature transients

    Fast: speed-ups of up to 950x compared to CFD

    R

    x

    zy

    S1

    S2

    Future Work:Parallelize the model on CPU/GPU

    Incorporate two-phase flows

    Fast Compact Transient Thermal Model (CTTM)

    for Microchannels

    Ph.D. Student: Arvind Sridhar

    13

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    Superhydrophobic Surfaces

    Approach

    (1) Creation of a nanostructure (metal oxide)

    (2) Surface functionalization of the created

    structure (fluorosiloxane, lauric acid, )

    Goals

    Production of a highly hydrophobic surface

    to reduce the pressure drop in microchannelused for water cool ing system

    3 4

    Ph.D. Student: Michael Rossier

    Constraints

    (1) Stable over a long time period

    (2) Simple manufacturing in microchannel

    Water droplet on a functionalized

    nanostructure

    Nanostructure (cobalt oxide) 14

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    T. Brunschwiler,

    IBM

    Single cavity test vehicle for

    microfluidics experiments

    Micro-channels Pin-fins

    Preliminary results

    Planned: Measure and evaluate Post-transition velocity and vorticity

    Resolve transient flow

    Pressure drop correlation

    Thermal measurements

    Hot processors

    Cooling structures

    3D chip stack

    Water flow

    Pin-fin

    Pin-finSEM image of pin-fins

    Pre-transition

    -particleimage

    velocimetry

    Measured pressure

    drop

    Transition in gradient

    at high flow rates

    Single Phase Water Cooling - Experiments

    15

    Ph.D. Student: Adrian Renfer

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    3D chip-stack modeled as porous medium with thermal

    non-equilibrium for computation efficacy and local hot

    spot capturing

    Junction and hot-spot temperatures

    for different layers validated against

    experiments

    Alfieri et al., Journal of Heat Transfer, (2010), submitted.

    Transient modeling and parametric study of cooling performance underway

    Top

    Middle

    Bottom

    Lines: Junction temperature

    Filled symbols: Simulations

    Open symbols: Measurements

    Single Phase Water Cooling - Modeling

    16

    Ph.D. Student: Fabio Alfieri

    Water/Silica Interface with Surface Functionalized

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    heat sink

    heat source

    heat currentheat current

    water SAMs silica SAMs water

    Molecular dynamics simulation

    A temperature gradient across the simulation domain is established by imposing1D heat flux.

    The interfacial thermal conductance is obtained for both silica/SAMs andSAMs/water interfaces.

    The results show that using SAMs can double the water/silica interfacialconductance.

    Hu et al., App. Phys. Lett., (2009), 95, 151903; J. Heat Transfer, (2010), submitted.

    2nm

    Water/Silica Interface with Surface Functionalized

    by Self-Assembled Monolayers (SAMs)

    17

    Ph.D. Student: Ming Hu

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    Parameter range of interest:

    Heat flux: hot-spot 250W/cm2,background 50W/cm2

    Through-silicon-via (TSV) pitch: 50

    200m

    Fluid channel dimensions:

    limited by TSV fabrication 25-100mPower map TSV floorplan

    Design input parameters:

    Interconnect compatible

    heat transfer structures

    Two-phase dielectric refrigerant cooling:

    solder ball stack possible

    Interlayer cooling architecture:

    Single-phase water cooling:

    cavity with elecrtical insulation

    3D-IC System Specifications Defined

    Thomas Brunschwiler and Stephan Paredes

    IBM Zurich Research Laboratory | 15-Jun-16 IBM Research 2010 18

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    Modeling concept validated with experimental results (+/- 10% accuracy)

    Extracted parameters can be used in transient compact thermal models directly

    Single-Phase Liquid Multi-Scale Modeling Validated

    Thomas Brunschwiler and Stephan Paredes

    IBM Zurich Research Laboratory | 15-Jun-16 IBM Research 2010 19

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    IBM Zurich Research Laboratory | 15-Jun-16 IBM Research 2010 20

    Eutectic thin film solder bonding of pin fins Pyramid chip stack with 4 cavities and 3 tiers, utilizing wire-bonding for IO

    Stack alignment and bonding, using fl ip-chip bonding toolModification to reflow under reducing atmosphere

    Bonding Technology to Build Thermal Prototypes

    Thomas Brunschwiler and Stephan Paredes