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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 Zürich Research Laboratory
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Page 1: Cmosaic

3D Stacked Architectures with Interlayer Cooling -

CMOSAICProf. John R. Thome, LTCM-EPFL, Project

CoordinatorProf. Yusuf Leblebici, LSM-EPFL

Prof. Dimos Poulikakos, LTNT-ETHZProf. Wendelin Stark, FML-ETHZ

Prof. David Atienza Alonso, ESL-EPFLDr. Bruno Michel, IBM Zürich Research

Laboratory

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CNN: Computing Electrical Power Consumption

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Two-Phase Cooling of 3DStacked Microprocessors

3 4

Vertical electrical interconnect: Through-Silicon-Via (TSV)

3D integration & thermal management

3D integration opportunities & threats

Global wire length reductionMemory-on-core stacking with vertical electrical

communication → massive core-to-cache bandwidthShorter wires & no repeaters → improved power

efficiency Threats: heat flux accumulation, additional thermal

resistances, peak temperatures

Scales with number of dies whereas backside cooling scales only with die areaHeat removal: refrigerant two-phase cooling Two-phase: no electrical insulation, minimal

temperature gradients, automatic hot-spot heat removal BUT dry-out problem, complex system

How to remove heat from a chip stack: interlayer cooling

IBM: Thomas Brunschwiler, Ute Drechsler and Martin Witzig

PhD student: YassirMadhour

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C4 solder bumps as «pin fins»Diameter: 50 to 100μmPitch: 100 to 200μm Heat transfer: microchannels / pin fins

Thin film bond: 5 to 10μm

• Interlayer cooling with evaporated dielectric fluid.• Solder: « eutectic » 3.5Ag-Sn, low melting temperature: 221°C.• Designs A & B • Present project status: package design optimization.

AB

TestVehicles for Stacked

Microprocessors PhDstudent: Yassir

Madhour

IBM: Thomas

Brunschwiler, Ute

Drechslerand Martin

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Wafer-Level TSV Compatible to Liquid Cooling of High Performance CMOS

Ph.D. Students: Michael Zervas, Yuksel Temiz

• Wafer-level and CMOS compatible TSV process.

• Very flat surface after TSV fabrication that allows.

further lithographic steps.

• 900 TSVs connected in a single daisy chain.

• Resistance per TSV 0.7 Ohm.

Daisy-chain interconnections patterned on TSVs.

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Die-Level Through-Silicon-Via Fabrication Platform

Ph.D. Students: Yuksel Temiz, Michael Zervas

• Wafer reconstitution and stencil lithography.

• Die-level etching and thin-film patterning.

• Die-level Cu electroplating.

Sten

cil L

ithog

raph

yEl

ectr

opla

ting

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Fabrication of Two-Phase Cooling Test Chips

Ph.D. Students: Yuksel Temiz (LSM), Sylwia Szczukiewicz (LTCM)• Front-side metal patterning.• Front-side DRIE for inlet/outlet

openings.• Back-side DRIE for microchannels.• Silicon-Pyrex Anodic Bonding

Fron

t-sid

e

Bac

k-si

de

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2D Multi-Microchannel Flow Boiling Experiment

• A novel in-situ ‘pixel by pixel’ technique has been developed tocalibrate the raw infra-red images from IR camera running at 60fps.

• So far, 752’640 local temperature measurements for one multi-microchannel evaporator with 100x100 micron channels have beenrecorded.

4

Ph.D.: Sylwia Szczukiewicz – Achievements to date

CCD camera

IR camera

DAQ system

Micro-evaporator

LTCM flow boiling test facilityExploded view of the experimental setup

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2D Multi-Microchannel Flow Boiling ExperimentPh.D.: Sylwia Szczukiewicz – 2D visualisation of two-phase

refrigerant flow Multi-microchannel evaporator having 67 channels with the inlet orifices e=2 and 100x100μm

cross-section areas, Tsat=31.96oC, ΔTsub=5.63K, q=30.69W/cm2

G=496.1kg/m2,s, slow motion (30fps),

CCD recorded @2000fps,

IR recorded @60fps

G=1643.02kg/m2s, slow motion (30fps),

CCD recorded @2000fps,IR recorded @60fps

Flow direction

For the test section having the orifices with the expansion ratio e=2, the flow tends to stabilize at the relatively high mass fluxes

and heat fluxes.

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3D ALE-FEM for Microscale Two-Phase Flows

Development:

[1] Comparison of surfacerepresentations;[2] Arbitrary Lagrangian-Eulerian Technique;[3] Test case: 2D microchannel and 3D rising bubble.[4] 3D bubble motion - videoGoals:• Develop a 3D Arbitrary

Lagrangian-Eulerian Finite Element code;

• Coupled heat transfer and two-phase flow

• Predict flows in microscalecomplex geometries;

• Design tool for micro evaporators.

Ph.D.: Gustavo Rabello dos Anjos

simulation time

3

2D microchannel

3D rising bubble

grav

ityve

loci

ty

surfacesurface

standard approach Lagrangian approach

Lagrangian

Eulerian

surface tension

gravitymesh velocity

[1]

[2]

[3]

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3D ALE-FEM for Microscale Two Phase Flows

Ph.D.: Gustavo Rabello dos Anjos

3D rising bubble:

type: low velocityview: bubble rising,

insertion, flipping and deletion of grid points

insertion: top viewdeletion: bottom

view

bottom

top

side

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3D ALE-FEM for Microscale Two Phase Flows

Ph.D.: Gustavo Rabello dos Anjos

bottom

top

side

3D rising bubble:

type: high velocityview: bubble rising,

insertion, flipping and deletion of grid points

insertion: top viewdeletion: bottom

view

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Investigation of Integrated Water Cooling of 3D integrated ElectronicsAn experimental study: PhD student Adrian Renfer

Vortex shedding induced flow impingement on micropin fins

Higher pumping power

Instantaneous -Particle Image Velocimetry

Single cavity of a 3D chip stack

Increased pressure drop at high flow rates

Fluctuations are amplified towards the outlet

inlet outletcenter

Flow direction

Benefits of enhanced mixing High heat transfer

Non-uniform micropin fin density forsystematic hot spot cooling

Publication: Renfer et al., Experiments in Fluids (2011)

Planned: measure and evaluate Heat transfer

Vortex shedding frequency

Global flow visualization

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Performance Evaluation of Cooling Structures for 3D Chip StacksA computational study: PhD student Fabio Alfieri

Publications: - Alfieri et al., 3D Integrated Water Cooling of a Composite Multilayer Stack of Chips, J. Heat Transfer, 2010- Alfieri et al., Performance Evaluation of Cooling Structures for 3D chip stacks (to be submitted)

Pin-Fins Inline (PFI) Microchannels (MC) Parallel Plates (PP)Q

P HD

Q Q

HH

P

Transitional regime: vortex shedding

x

Goals:•Evaluate performance of cooling structures•Provide design guidelines for 3D chip stacks

Currently underway:- Impact on the performance of:

pin-fins density adjustment non-homogeneous heat fluxes

- Modeling of entrance region: Re PrNu A x L

Boundary layer regeneration

Experimental validation Pressure drop and heat transfer coefficients

Parallel plates

Microchannels

Pin-FinsI) II)

Tran

sitio

n

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Superhydrophobic Surfaces

Approach

(1) Creation of a nanostructure (silicon etching)(2) Surface functionalization of the created structure (fluorosiloxane)

Needle-like silicon etching

3 4

Ph.D. Student: Michael Rossier

“Needle-like” silicon structures: non-functionalized (left); functionalized with perfluorooctyltriethoxysilane (right)

GoalsProduction of a highly hydrophobic surface to reduce the pressure drop in microchannel with application for water cooling systems

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3D ICE: a new thermal simulator for 3D ICs with interlayer

liquid cooling– Arvind Sridhar, EPFL-ESL

Future Work:•To model entrance-region effects in microchannels•Incorporate two-phase flows

• FIRST-EVER compact modeling based thermal simulator for ICs with microchannel liquid cooling

• Available as an open source Software Thermal Library at http://esl.epfl.ch/3D-ICE • More than 35 (and counting!) research groups world-wide are using 3D-ICE

RconvRcond

Coolant Flow

Rconv

3D-ICE 1.0• based on compact transient thermal modeling

(CTTM)• 975x Faster! than commercial CFD tools

even for small problems3D-ICE 2.0• Advanced model for Enhanced Heat Transfer

Geometries (e.g., Pin Fins)• 40x Faster! than conventional CTTM

3D-ICE optimized as Neural Network based simulator for massively parallel Graphics Processing Units (GPUs)• It learns from 3D-ICE test simulations• then works as stand-alone simulator• 100x Faster! than conventional 3D-ICE model

{ X3D-ICE(tn+1) }

Neural Network-based simulator { XNN(tn+1) }

TrainingAlgorithm

{ U(tn+1) }

{ X(tn) }

For more information on 3D-ICE please visit the poster

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Thermal Modeling and Active Cooling Management for 3D MPSoCs – Mohamed M.

Sabry, EPFL-ESL

Scheduler Power Manager (DPM)Flow-rate actuator

Transient Temperature Response

for Each Unit

•GoalsAchieve thermal balance in 3D MPSoC tiersNo thermal runaway situations (thermal violations)Minimal performance degradationMinimal energy consumption

•AchievementsThermal violations 0%Performance degradation 0.01%Energy reduction up to 35%

•Proposed techniqueDesign-time run-time management strategy•Design-time Control knobs identification

Electronic-based: Dynamic Voltage and Frequency Scaling

Mechanical-based:Dynamic Varying Flow rate

•Run-time thermal managementFuzzy-logic control

Rule-base look-up table controlLow complexityLow computation overhead

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MicroCool: Nano-Tera ED Training for 3D-IC’s

PI: Prof. J.R. Thome

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3D-IC Cooling: Public Announcement by IBM CEO

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CMOSAIC: Technological Aims CMOSAIC aims to make an important contribution to the development of the

first 3D computer chip with a functionality per unit volume that

nearly parallels the functional density of a human brain.

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

-Overcome the limits of air cooling-Compress ~1012 nanometer sized functional

units(1 Tera) into one cubic centimeter

Yield 10-100 fold higher connectivity-Cut energy and CO2

emissions drastically 0 2 4 6 8Wire Length (mm)

100

1000

10000

100000

1000000

Wire

Cou

nt