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INNOVATIONS TO ADDRESS POWER AND COST … AND EMERGING MARKETS FOR SEMICONDUCTOR DEVICES ... (3D...

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INNOVATIONS TO ADDRESS POWER AND COST CHALLENGES OF CURRENT AND EMERGING MARKETS FOR SEMICONDUCTOR DEVICES [email protected] VP Strategic Partnerships, North America Special thanks to Séverine Cheramy, Fabien Clermidy, Mathilde Costes-Majorel, Denis Dutoit, Daniel Gitlin, Jean-Eric Michallet,Maud Vinet
Transcript

INNOVATIONS TO ADDRESS POWER AND COST CHALLENGES OF

CURRENT AND EMERGING MARKETS FOR SEMICONDUCTOR DEVICES

[email protected]

VP Strategic Partnerships, North AmericaSpecial thanks to Séverine Cheramy, Fabien Clermidy, Mathilde Costes-Majorel,

Denis Dutoit, Daniel Gitlin, Jean-Eric Michallet,Maud Vinet

| 2

WELCOME TO GRENOBLE

Hughes Metras | The Confab l 06.13.2016

| 3

LETI, A CEA-TECH INSTITUTE

TECHNOLOGIES

DEFENSE

SECURITY

NUCLEAR

ENERGY

KEY ENABLING

TECHNOLOGIES

SCIENCE

FUNDAMENTAL RESEARCH

• 16,1100 employees

• 10 research centers

• € 4,4 Mds budget

• 5844 patents portfolio

innovation for industry

LETI LISTLITEN CTREG

KEY ENABLING

TECHNOLOGIES

• 4,500 employees

• 8 local centers

• € 650 M budget

• 4299 patents portfolioMICRO-NANO

TECHNOLOGIES

AND INTEGRATION

IN SYSTEMS

NEW ENERGY

TECHNOLOGIES

AND NANO

MATERIALS

SOFTWARE-

INTENSIVE

SYSTEMS

DISSEMINATE

THE KETS

DEVELOPED

From research to industry

• 1,900 employees

• 2 international Leti

offices

• € 315 M budget

• 2572 Patents portfolio

Hughes Metras | The Confab l 06.13.2016

| 4

: « CEA AT THE TOP OF THE LIST »

Hughes Metras | The Confab l 06.13.2016

| 5

NEW OPPORTUNITIES RISE FROM IT EVOLUTIONS

Infrastructure

Interconnected Platforms

Hughes Metras | The Confab l 06.13.2016

I/O

µ-proc to memaccess

Intrinsic power consumption

Speed

New transistors

Local & dynamical trade-offs

Multi-core HW/SW architectures

Integrated photonics

3D

Arc

hit

ectu

res

| 6

FDSOI HISTORY : ECOSYSTEMS AND VISIONARY INNOVATION PARTNERSHIPS

2000-2007

Research

2008

Advanced

R&D

2010

Industrial

partner

1992

Substrates

2014

Open

foundry

2015

Products

On the market

……

1980-1990

Early work

FDSOI : Enabling platform for low Power low Cost Applications

Hughes Metras | The Confab l 06.13.2016

| 7

STRATEGIC PARTNERSHIPS

Europe : IPCEI projetUnder construction

Channel ASIC PartnerFDX22

Assignees WIP

Dresden

Hughes Metras | The Confab l 06.13.2016

| 8

ADVANCED CMOS ROADMAP

Early design coupling

28FDSOI

28nm

14nm

10nm

7nm

5nm

Evolutionary scaling: technology driven performance improvement

14FDSOI 10FDSOI

High mobility materials Ge and III-V

Non planar / trigate / stacked NW

Early material and

process

coupling

Mechanical switches

Hyb

rid

lo

gic

Steep slope devices

Single Electron Transistor

Disruptive scaling

Monolithic3D – M3D

FinFET

Alternative to scaling

Ge 10 nm

BOX

Si02

25nm TBOX

20nm LG ISPD SiCRSD

Si channel25nm TBOX

20nm LG ISPD SiCRSD

Si channel

Source

Drain

Gate

Fin

Source

Drain

Gate

Fin

Hughes Metras | The Confab l 06.13.2016

| 9

NEW OPPORTUNITIES IN 3D : COOLCUBE (3D VLSI)

At 14nm node, CoolCubeTM 3D via density D > 100 million vias/mm2

P. Batude et al, VLSI 2011

Bulk TSVSOI TSV

D = 10.000/mm 2D = 100.000/mm 2

D> 100.000.000/mm 2

D> 5.000.000/mm 2

CoolCubeTM

• Device scaling more and more difficult and costly (lithography, material, architecture)

• Global IC performance improvement without device scaling

• Natural opportunity for high-level integration

Hughes Metras | The Confab l 06.13.2016

| 10

POWER, PERFORMANCE, AREA

Hughes Metras | The Confab l 06.13.2016

O. Turkylmaz et al., DATE 2014

CMOS/CMOS FPGA-based circuits benchmark

Area gain = 55%

Performance gain = 23%

Power gain = 12%

ex 1

ex 2 FDSOI

FinFET

14nm

14nm= 10nm

Energy – delay – product (pJ*ns)

| 11

COOLCUBE™ ADD-ON TO SCALING PATH

28nm

BEOL

PlanarHKMG

BEOLx2Pat

FinFet/PlanarHKMG

BEOLX3,4PatEUV?

FinFet/PlanarGe/III-VHKMG

14/16nm 10/11nm

CoolCube™ 28nm

NEW

R&D Cost

~500M$

CoolCube™ 14nm

1-2 B$

Cost

X2-3 ?

Cost

7/8nm

?X4-5 ?

Cost

CoolCube™ 10nm

CoolCubeTM offers more alternatives at a very affordable cost

Hughes Metras | The Confab l 06.13.2016

| 12

COST ANALYSIS : COOLCUBETM YIELD MODEL

• The Bose-Einstein yield model for 3D wafers have the additional

factor Y3D. Namely, Y = Y2D * Y3D

Y = 1/(1 + DoA)N * 1/(1 + D3DA)N3D

Defining relative parameters d and n we have:

The yield is

Y = 1/(1 + DoA)N * 1/(1+ dDoA)nN

With

d=D3D/Do

n=N3D/N

Hughes Metras | The Confab l 06.13.2016

| 13

PARTITIONING SCHEMES

Hughes Metras | The Confab l 06.13.2016

| 14

PARTITIONING SCHEMES AND COST

The cost of 3D/2D chips has three factors, the relative

wafer manufacturing cost (n+1), the gross die per wafer

ratio, and the yield ratio

The area reduction ratio a and the relative complexity n

are

Cell/Cell a~2, n~0.4-0.6

NMOS/PMOS a~1.67, n~0.1-0.2

Hughes Metras | The Confab l 06.13.2016

| 15

COOLCUBETM IMPACT ON COST

Cost Reduction+ is

extremely attractive

Up to 50% cost reduction

(large die), plus speed and

power improvements

Cost Reduction+ can be

a powerful technology to

boost 28nm, either by

reducing cost or adding

capability at same cost

Rela

tive d

ie c

ost

Co

olC

ub

eT

M

vs.

trad

itio

nal

pro

cess

Do = 0.1, N=24, a=2, d=1

Do = 0.1, N=24, a=1.67, d=1

Area (A) of 3D wafers in mm2

Cell/Cell

NMOS/PMOS

Hughes Metras | The Confab l 06.13.2016

| 16

TOP CHALLENGES FOR COMPUTING

ENERGY PER OPERATION

20 nJ/FLOP

2 nJ/FLOP

200 pJ/FLOP

20 pJ/FLOP

2 pJ/FLOP

0.2 pJ/FLOP

20

00

20

01

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

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20

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20

22

20

23

20

24

20

25

20

26

20

27

Projection from www.top500.org

Energy per Operation

÷ 4 every 2 years

ZETTABYTE

Data Traffic

×2every 2 years

Scaling within power limits

PERFORMANCE

100 EFLOP/S

10 EFLOP/S

1 EFLOP/S

100 PFLOP/S

10 PFLOP/S

1 PFLOP/S

100 TFLOP/S

10 TFLOP/S

1 TFLOP/S

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025

2026

2027

Projection from www.top500.org

Performance

Exascale computing before 2020.

Hughes Metras | The Confab l 06.13.2016

| 17

TOP CHALLENGES FOR COMPUTING

Manufacturing cost Engineering cost

Scaling within cost limits

New product

introduction cost

16nm 10nm 7nm 5nm

+25% increase every

technology node

28nm 20nm 16nm 10nm 7nm 5nm

×2every technology node

28nm 20nm 16nm 10nm 7nm 5nm

up to ×3every technology node

Hughes Metras | The Confab l 06.13.2016

| 18

Traditional

exponentially

growing “laws”

are running into

physical and cost

limits.Memory

Interconnect

System SW

Computing

THE NEED FOR NEW APPROACHES

$100M

$400M

$2000M

2015

2020

> 2020

0,1 EFLOP/s

200pJ/FLOP

1 EFLOP/s

20pJ/FLOP

10 EFLOP/s

2pJ/FLOP

PERFORMANCE

100 EFLOP/S

10 EFLOP/S

1 EFLOP/S

100 PFLOP/S

10 PFLOP/S

1 PFLOP/S

100 TFLOP/S

10 TFLOP/S

1 TFLOP/S

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025

2026

2027

Projection from www.top500.org

ENERGY PER OPERATION

20 nJ/FLOP

2 nJ/FLOP

200 pJ/FLOP

20 pJ/FLOP

2 pJ/FLOP

0.2 pJ/FLOP

20

00

20

01

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

20

12

20

13

20

14

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18

20

19

20

20

20

21

20

22

20

23

20

24

20

25

20

26

20

27

Projection from www.top500.org

Scaling within power limits

Scaling within cost limits

1. Cost: Disruptive architecture and integration technologies are required

2. Performance: Disruptive technologies are required

Hughes Metras | The Confab l 06.13.2016

| 19

INTERPOSER INTEGRATED CHIPLETS

Integration for high performance:• Scale-out• Many-core

architecture

Scalable computing

component

Chiplet for low cost:• Small to medium

size chips (2 cm² max)

• Advanced technology node

• Generic• High volume

Interposer for specialization: • System-in-

Package, Silicon (Passive or active), photonic

• Heterogeneous integration enablement

• Application specific

Hughes Metras | The Confab l 06.13.2016

| 20

ExaNoDe will investigate, develop and

pilot:

• a highly efficient,

• highly integrated,

• high-performance,

• heterogeneous

compute element aimed towards

exascale computing.

Start date: October 2015.

CEA COORDINATES

THE H2020 EXANODE PROJECT

EXANODE

Chiplet

Interposer

3D-ICMulti-Chip-Module

Memory device

FPGA bare die

Candidate architecture for ExaNoDe

integration technology

Total budget: 8.6M€ Hughes Metras | The Confab l 06.13.2016

| 21

TECHNOLOGY

ARCHI-

TECTURE

& DESIGN

RESULTS

Silicon Interposer• Warp management

• TSV high aspect ratio

• Stress compensation

High density 3D• Chip-To-Chip fine pitch

• Die to Wafer stacking

3D integrated circuit• Modular 3D stack

processor

• 3D Building Blocks & libs.

Smal form factor: 20 µm pitch I/O

Low power: 1 pJ/b, Target: 20 pJ/FLOPS before 2020

3D learning: Process, Signal Integrity, Stress, Thermal, Reliability

High Bandwith density: 1 Tbps/mm²

Low-power, scalable

and low cost computing

components

3D SILICON INTEGRATION

[1] D. Dutoit, et al. "A 0.9 pJ/bit, 12.8 GByte/s WideIO Memory Interface in a 3D-IC NoC-

based MPSoC", VLSI Circuits (VLSIC), 2013 Symposium on , pp.C22,C23, 11-13 June 2013.

3D Silicon

Integration

Hughes Metras | The Confab l 06.13.2016

| 22

HIGH PERFORMANCE INTERPOSER

Inter-die

planarization

DFT

µbuffers

2-phase

data link

NoC

virtualization

TSV high

aspect ratio

Co-pillar

or Cu-Cu pitch

<20µm

Stress sensors

From design to technology …

Integrated

power management

Chip Scale Review, May-June 2014

Hughes Metras | The Confab l 06.13.2016

| 23

NOC VIRTUALIZATION, Buffer sized for inter-die

communication.

DESIGN BRICKS

Embedded power management

Interposer DC/DC convertor

• Distributed power supply units dedicated to each chiplet

• Generate various voltages for fine DVFS

• No use of external components, only on-chip CAPs

• Need (only) one external power mngt unit to provide 1.8V

Designed for

various 3D

configurations:

• Passive / active interposer

• Face-to-Face / Face-to-Back

• Short distance / Long distance

• Vertical / horizontal die interconnect

CONCEPTION FLOW

DFT Building blocks are taking

into account by tools at all

levels of flow

Hughes Metras | The Confab l 06.13.2016

| 24

SELF-ASSEMBLY AS FINE-PITCH ENABLER

Phase 1 : Self-alignment Phase 2 : Hybridation

Leti’s choice : Direct bonding Leti’s choice: capillary driven alignment Minimization of surface tension with capillary force

3 – REMOVAL OF THE TOP DIE

1 – LIQUID DEPOSITION ON

SUBSTRATE OR DIE

2 – ROUGH PRE-POSITIONNING

USING MECHANICAL TOOL

4 – SPONTANEOUS ALIGNMENT

THANKS TO CAPILLARY FORCE

5 – LIQUID EVAPORATION AND

HYBRIDATION

PRINCIPLE OF SELF-ASSEMBLY USING CAPILLARY FORCE

Hughes Metras | The Confab l 06.13.2016

| 25

TECHNOLOGY

ARCHI-

TECTURE

& DESIGN

RESULTS

SiPho devices• Microring optical modulators

w. thermal biasing

• Couplers/Photodetectors…

Hybrid CMOS/SiPho

integration• Photonic interposer

• Face-to-face assy. with

CMOS circuits & drivers

High-speed Tx & Rx• 2.5V cascode modulation

• High-sensitivity 4-phase

latched receiver

Thermal robustness• <0.1°C tracking

• WDM remapping

Optical Microrings : 4-λ WDM

CMOS driver: 12Gb/s per way ~300fJ/bit

CMOS Rx: -18dBm sensitivity, ~400fJ/bit

Thermal control: WDM-remapping <10μs

Photonic interposer:Scalable Optical NoC

between chiplets

PHOTONIC INTERPOSER INTEGRATION

[1] Y. Thonnart, M. Zid, Technology assessment of silicon interposers

for manycore SoCs: Active, passive, or optical?, NOCS 2014

[2] R. Polster, J.L. Gonzalez Jimenez, E. Cassan, L. Vivien,

A TIA for optical networks-on-chip in 65nm CMOS, OIC 2015 Hughes Metras | The Confab l 06.13.2016

| 26

PHOTONICS PLATFORM

Design Environment 200/300 mm SOI Photonic Platform

I/O & Waveguides

Wafer Level test

Modulators

vertical/lateral Ge Photodiodes

3-5 integration

die to wafer bonding

InP Lasers & VCSELS3D Integration CMOS/PIC

Fiber to PIC Packaging

Hughes Metras | The Confab l 06.13.2016

| 27

STRATEGIC PARTNERSHIP

HPC & Datacenters

• Silicon Photonics for High

Density Interconnects

Partner

USA

Joint participation

to H2020

Hughes Metras | The Confab l 06.13.2016

| 28

New Materials

& Process

Development

New functions

&

New devices

Systems

Level

Demonstrations

Integration

to the Application

Scenario & Context

HOW TO ADDRESS THE INTERNET OF THINGS

IC

Design

Sensor

Fusion

Telecoms

Algorithms

Streetlight

Parking sensor: Sensor node

with one transceiver (Digimesh)

Repeater: Sensor node with two

transceivers (Digimesh and 802.15.4)

Gateway: Node with communication with

sensor networks (Digimesh and 802.15.4)

and communication with external networks

(WiFi, GPRS, ethernet)

Load/Unload

Area

SmartSantander

Backbone

Digimesh Link

802.15.4 Link

WiFi/GPRS,

ethernet Link

Security

HW/SW

Co-design

RF/BB

Co-design

Architecture

Exploration

Hughes Metras | The Confab l 06.13.2016

| 29

TWO MAIN CHALLENGES

Energy Cost

Mobiles Notebooks

Data WarehouseSupercomputers

Tablets

Hughes Metras | The Confab l 06.13.2016

| 30

KEY SUCCESS FACTORS

Business Model based on

strategic partnerships with key

players

Differentiation through

miniaturization technologies

New skills to enhance coupling

between technology &

applications

Leti,

50start-ups created

Hughes Metras | The Confab l 06.13.2016

| 31

STRATEGIC PARTNERSHIPS

Wireless

Communication

Technologies

IOT Security Micro Displays

USA

Joint participation

to H2020,

Hughes Metras | The Confab l 06.13.2016

| 32

MULTIMEDIA & MOBILE PLATFORMS

Micro

-dispays

3D Wide I/O

Memory Chip

10s download time of 1 Gigabit of content from battery-less memory tags

Multiband UWB Chip for localizationRange 300-2000m, Accuracy 3,75cm 1 m

Hughes Metras | The Confab l 06.13.2016

| 33

HEALTH & FITNESS

Motion-

sensing

ULP Chip for Wireless

monitoring of pacemakers

Microsystem for

local drug delivery

Hughes Metras | The Confab l 06.13.2016

| 34

AUTOMOTIVE & TRANSPORTATION

RFID Tags embeddedin truck tires

Temp & Press. ribbon for aerospace mock-up

InertialSensors

Hughes Metras | The Confab l 06.13.2016

| 35

SMART BUILDINGS & SMART CITIES

Zonal Controller

Multi-Sensors

Autonomous Wireless Sensor (CO2, Humidity, Temp, Pressure)

powered by Indoor PV cell

City Wide sensor network experiments

Fully Autonomous andConnected Window Shutter

Hughes Metras | The Confab l 06.13.2016

| 36

INDUSTRY & INFRASTRUCTURES

Nanosensors

for

Gas analysis

Smart

Structures

Hughes Metras | The Confab l 06.13.2016

THANKS!

QUESTIONS?

|

P

37


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