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Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian Wonfor, Kai Wang, Ian White 1 Richard Penty, Jonathan Ingham, Adrian Wonfor, Kai Wang, Ian White Centre for Photonic Systems, Electrical Engineering Division, Engineering Department, University of Cambridge, 9 JJ Thomson Avenue, Cambridge CB3 0FA UK [email protected]
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Page 1: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Reducing the Energy Consumption of Photonics Hardware in Data Center Networks

Richard Penty, Jonathan Ingham, Adrian Wonfor, Kai Wang, Ian White

1

Richard Penty, Jonathan Ingham, Adrian Wonfor, Kai Wang, Ian White

Centre for Photonic Systems, Electrical Engineering Division, Engineering Department, University of Cambridge, 9 JJ Thomson Avenue, Cambr idge CB3 0FA UK

[email protected]

Page 2: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

• Introduction to Short Link Systems

• Growing energy requirements in the internet

• Use of optics to reduce supercomputer/data center energy cost

• Modulation formats for next -generation optical

Key Themes

2

• Modulation formats for next -generation optical datacommunication links

• Candidate modulation formats

• Carrierless amplitude and phase modulation

• (If time) Reducing energy consumption of optical sw itches

• Active-passive OEICs

• Conclusions

Page 3: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Tota

l Pow

er C

onsu

mpt

ion

(W)

1012Global electricity supply

1013

3% p.a.

Power Consumption of Internet

Power Consumption of the Global InternetTo

tal P

ower

Con

sum

ptio

n (W

)

1.5 billion users

Year2010 2015 2020 2025109

1011

1010

40% p.a. Data growth

10% p.a. Growth in user numbers

Power Consumption of Internet

Sources: Hinton et al., Tucker, IEEE

Page 4: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Comparative Energy Efficiency in Photonics

Page 5: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Fibre Channel Speed RoadMap

5http://www.fibrechannel.org/roadmaps

Page 6: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Evolution of Datacom Standards - Infiniband

6Infiniband Roadmap

Page 7: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Optical Interconnects

J. Bautista, Optoelectronic Integrated Circuits Vii, pp. 1-8, 2005.

7

2005.

• Optical interconnects offer significant advantages over their electrical counterparts:

- large link bandwidth, reduced power consumption, EMI, thermal management issues

- but users will only use optics if they have to

- photonics costs in for longer reach and higher bandwidthc

Page 8: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Parallel Optical Interconnects in Supercomputers

by IBM

Page 9: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Copper Replacement by VCSELs and Fibers:

a) IBM Roadrunner (2008), 1 Petaflop: Fiber to the Rack; 50,000 optical links.b) IBM Blue Waters (2011), 10 Petaflops: Fiber to the Module; 5 Million optical

links.

• 30 MW power consumption of the lasers in the optical links in Exaflop computers

• ~24 MW cooling system

• +receiver, electronics

Page 10: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Record energy-to-data ratio (EDR) of

83 fJ/bit at 25°C and

81 fJ/bit at 55°C and heat-to-bit rate ratio (HBR) of 69 mW/Tbps at 17 Gb/s across 100 m fiber

Record Energy Efficiency

1 Terabit per second for less than 100 mW

Page 11: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

• Introduction to Short Link Systems

• Growing energy requirements in the internet

• Use of optics to reduce supercomputer/data center energy cost

• Modulation formats for next -generation optical

Key Themes

11

• Modulation formats for next -generation optical datacommunication links

• Candidate modulation formats

• Carrierless amplitude and phase modulation

• (If time) Reducing energy consumption of optical sw itches

• Active-passive OEICs

• Conclusions

Page 12: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

• Several possibilities for modulation format:• Non-return-to-zero modulation (NRZ)

Simple scheme, but symbol rate equal to bit rate, which requires high bandwidth lasers and receivers and dispersion effects are significant

• Multilevel modulation (e.g. PAM4)

In PAM4, the symbol rate is one half of the bit rate, therefore less demand placed on laser and receiver bandwidth and reduced dispersion effects compared to NRZ

Modulation formats for next-generation datacommunication links

12

laser and receiver bandwidth and reduced dispersion effects compared to NRZ

• Subcarrier modulation (SCM)

Allows high spectral efficiency due to use of multiple FDM channels on RF carrier frequencies. Needs RF components

• Orthogonal frequency division multiplexing (OFDM)

Essentially SCM with increased spectral efficiency. However, transmitter and receiver electronics complex, possibly with high power consumption

• Carrierless amplitude and phase modulation (CAP)

Flexible scheme with FDM channels, similar to SCM, but simpler electronics, with low power consumption and ability to operate as PAM if needed

Page 13: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

NRZ PAMn Partial-Response CAP CDMA SCM (QAM) OFDM or ODMT

Carrierless Schemes Carrier or Multi-Carrier Schemes

1 Dimensional Schemes Multi-Dimensional Schemes

Spectrum of modulation formats

13

General directional of increasing bandwidth efficiency

General directional of increasing optical modulation power penalty

General directional of increasing electrical complexity and power dissipation

Page 14: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Recent results: 40 Gb/s NRZ

• Draka, Netherlands & HHI, Berlin

• NRZ modulation

• 1300 nm CW external-cavity diode laser & MZ modulator

• Specially-optimized 50-µm-core-diameter MMF

• Center launch or radially-overfilled launch investigated

• 40 Gb/s over 600 m of MMF achieved

14

• 40 Gb/s over 600 m of MMF achieved

P. Matthijsse et al., OFC 2006, paper OWI13

Page 15: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Recent results: 1.25 Gb/s PAM -4

Munich University of Technology & Technical University Eindhoven

PAM-4 modulation

Step-index polymer optical fiber (SI-POF)

1.25 Gb/s over 75 m SI-POF using a LED and predistorted PAM-4

15F. Breyer et al., ECOC 2008, paper We.2.A.3

Page 16: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Recent results: 37 Gb/s QAM -16

Chalmers University, Sweden

QAM-16 constellation using a “single-cycle” approach

Directly-modulated 850 nm VCSEL

10 Gbaud symbol rate, requiring less than 20 GHz modulation bandwidth

FEC with 7% overhead required

37.2 Gb/s over 200 m of OM3+ MMF achieved

16

0 6 12 18 24 30Frequency (GHz)

Pow

er (

5 dB

/div

)

200 m

In-phase

Qua

drat

ure

-6 -5 -4 -3 -2 -1 0 1

-6

-5

-4

-3

-2

Received optical power (dBm)

log(

BE

R)

BTB100 m200 m

Bit-error-rate @ 40 Gb/s

Electrical spectrum

K. Szczerba et al., ECOC 2010, paper We.7.B.2

Page 17: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Recent results: 8 Gb/s OFDM

Bell Labs, Stuttgart

OFDM modulation with 272 QPSK subcarriers

Modal diversity and MIMO processing employed

8 Gb/s over 5 km of 50-µm-core-diameter MMF achieved

But significant DSP required

17B. Franz et al., ECOC 2010, paper Tu.3.C.4

Page 18: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

List of modulation schemes considered for 20 Gb/s MMF links20 Gb/s NRZ850 nm wavelength over OM3 fibre

20 GHz Tx/Rx parameters**

20 Gb/s PAM-4850 nm wavelength over OM3 fibre

10 GHz Tx/Rx parameters*

20 Gb/s duobinary850 nm wavelength over OM3 fibre

20 GHz Tx/Rx parameters**

0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.1time / ns

0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.1time / ns

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2time / ns

0

0.5

1

1.5

2

0 5 10 15 20-140

-120

-100

-80

-60

-40

-20

0

20

GHz

dB

o

40

QPSK

QAM-16

18

20 GHz Tx/Rx parameters**

* “10 GHz Tx/Rx parameters” indicates 35 ps Tx rise time (20% t o 80%) with a 7.5 GHz 4 th-order Bessel-Thomson LPF at Rx** “20 GHz Tx/Rx parameters” indicates 23.5 ps Tx rise time (2 0% to 80%) with a 15 GHz 4 th-order Bessel-Thomson LPF at Rx

20 Gb/s QPSK (4 x 5 Gb/s channels)850 nm wavelength over OM3 fibre

20 GHz Tx/Rx parameters**

20 Gb/s QAM-16 (20 x 1 Gb/s channels)850 nm wavelength over OM3 fibre

20 GHz Tx/Rx parameters**

0 0.01 0. 02 0. 03 0.04 0. 05 0.06 0.07 0.08 0.09 0.1

ns

0 5 10 15-120

-100

-80

-60

-40

-20

0

20

GHz

dB

o

Trade-offs must be considered in terms of link length, receiver sensitivity and complexity of implementation

QPSK and QAM offer increased spectral efficiency but with greater requirements in terms of SNR, linearity of the optical source and complexity of the associated electronics

Page 19: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Power budget comparison

Unallocated penalties (dBo) are shown in brown. This assumes a total power budget of 8 dBo for 850 nm links and 12 dBo for 1300 nm links

RIN penalty (dBo) is quoted at the 99th percentile of the installed base of MMF and shown in yellow. A laser source with RIN = –135 dB/Hz is used for all cases to enable comparison. This bar saturates at 5 dBo

Dispersion penalty (dBo) is quoted at the 99th percentile of the installed

19

U F D

Dispersion penalty (dBo) is quoted at the 99th percentile of the installedbase of MMF and shown in light blue. This bar saturates at 10 dBo

Relative receiver sensitivity (dBo) is shown in dark blue. The receivershave equal thermal noise power spectral density. The number may beviewed as a degradation in sensitivity relative to an unequalised receiverwith a sensitivity of –18 dBm at 10.3125 Gb/s with LRM Tx and Rx filtering

The left-hand bar corresponds to: unequalised receiver “U”

The central bar corresponds to: receiver with a 7-tap FFE “F”

The right-hand bar corresponds to: receiver with a (7, 5)-tap FFE-DFE “D”

Page 20: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Power budgets at 100 mNRZ PAM-4 Duobinary

RIN

UNALLOCATED

PENALTIES

Key

SCM

10

15

dBo

QP

SK

QA

M-1

6

20

U F D

1300 nm

20 GHz

U F D

850 nm

20 GHz

U F D

1300 nm

10 GHz

U F D

850 nm

10 GHz

U F D

1300 nm

10 GHz

U F D

850 nm

10 GHz

U F D

1300 nm

20 GHz

U F D

850 nm

20 GHz

U F D

1300 nm

10 GHz

U F D

850 nm

10 GHz

U F D

1300 nm

15 GHz

U F D

1300 nm

15 GHz

RELATIVE

RECEIVER

SENSITIVITY

DISPERSION

PENALTY

RIN

PENALTY

U UNEQUALISED

F FFE

D FFE-DFE

U U

1300 nm

20 GHz

0

5

dBo

Page 21: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Power budgets at 200 mNRZ PAM-4 Duobinary

RIN

UNALLOCATED

PENALTIES

Key

SCM

QP

SK

QA

M-1

6

10

15

dBo

21

U F D

1300 nm

20 GHz

U F D

850 nm

20 GHz

U F D

1300 nm

10 GHz

U F D

850 nm

10 GHz

U F D

1300 nm

10 GHz

U F D

850 nm

10 GHz

U F D

1300 nm

20 GHz

U F D

850 nm

20 GHz

U F D

1300 nm

10 GHz

U F D

850 nm

10 GHz

U F D

1300 nm

15 GHz

U F D

1300 nm

15 GHz

RELATIVE

RECEIVER

SENSITIVITY

DISPERSION

PENALTY

RIN

PENALTY

U UNEQUALISED

F FFE

D FFE-DFE

U U

1300 nm

20 GHz

0

5

dBo

Page 22: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Power budgets at 300 mNRZ PAM-4 Duobinary

RIN

UNALLOCATED

PENALTIES

Key

SCM

QP

SK

QA

M-1

6

10

15

dBo

22

U F D

1300 nm

20 GHz

U F D

850 nm

20 GHz

U F D

1300 nm

10 GHz

U F D

850 nm

10 GHz

U F D

1300 nm

10 GHz

U F D

850 nm

10 GHz

U F D

1300 nm

20 GHz

U F D

850 nm

20 GHz

U F D

1300 nm

10 GHz

U F D

850 nm

10 GHz

U F D

1300 nm

15 GHz

U F D

1300 nm

15 GHz

RELATIVE

RECEIVER

SENSITIVITY

DISPERSION

PENALTY

RIN

PENALTY

U UNEQUALISED

F FFE

D FFE-DFE

U U

1300 nm

20 GHz

0

5

dBo

Page 23: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

50

CAP technique is highly flexible

Generation of passband channels, similar to subcarrier modulation, may be achieved through a simple change in the tap coefficients of an electronic filter

Avoids the requirement for upconversion using a mixer and local oscillator

Introduction to CAP

23

0 0.05 0.1 0.15 0.2ns

Eye diagram for one channel of a 40 Gb/s CAP16 system

0 10 20 30 40-100

-50

0

GHz

dBo

Corresponding electricalspectrum

Page 24: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

T T T

Σ

…Input

Output

× × × ×c–L c1–L c2–L cL

T T T

Σ

…Input

Output

× × × ×c–L c1–L c2–L cL0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09

0

0.2

0.4

0.6

0.8

1

time / ns

ampl

itude

/ no

rmal

ised

line

ar u

nits

Flexible generation of CAP symbols

Electronic transversal filters developed for dispersion compensation

24

Use these filters for generating CAP pulses

Page 25: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Biphase shaping filter

Gb(f )

Modified-biphase shaping filter

G (f )

Block diagram of a 40 Gb/s CAP16 link

PRBS

27 – 1

20 Gb/s

Bit to symbol mapping

10 Gbaud

LPF

GaussianΣPRBS

27 – 1

Decorrelated

Bit to symbol mapping

10 Gbaud

25

Gmb (f )

SMF model

802.3ae

LPF

4th-order BT

Matched filter

Gb*(f ) or G mb

* (f )

SER calculation

Penalties at

BER = 10–12

Decorrelated

20 Gb/s10 Gbaud

Page 26: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

40 Gb/s Eye Diagrams - CAP16 v. NRZ

0 0.01 0.02 0.03 0.04 0.05 0 0.01 0.02 0.03 0.04 0.05 0 0.01 0.02 0.03 0.04 0.05 0 0.01 0.02 0.03 0.04 0.05

NRZ

5 km 10 km 15 km 20 km

0 0.01 0.02 0.03 0.04 0.05ns

0 0.01 0.02 0.03 0.04 0.05ns

0 0.01 0.02 0.03 0.04 0.05ns

0 0.01 0.02 0.03 0.04 0.05ns

0 0.05 0.1 0.15 0.2ns

0 0.05 0.1 0.15 0.2ns

0 0.05 0.1 0.15 0.2ns

0 0.05 0.1 0.15 0.2ns

CAP16

Page 27: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

40 Gb/s CAP16 – dispersion penalties compared to NRZ

6

8

10

12

disp

ersi

on p

enal

ty /

dB

o

Performance comparison with 40 Gb/s NRZ at 1550 nm

40 Gb/s CAP16 40 Gb/s NRZ

6

8

10

12

disp

ersi

on p

enal

ty /

dB

o

27

0 1 2 3 4 5 6 7 80

2

4

link length / km

disp

ersi

on p

enal

ty /

dB

o

Tx: 16.8 ps Tx 20% – 80% rise time (Gaussian LPF)

SMF: 1550 nm 17 ps / (nm km) (802.3ae model)

Rx: 21 GHz Rx –3 dBe bandwidth (4th-order Bessel-Thomson LPF)

In excess of 10 km at 1550 nm with CAP

0 5 10 15 20 25 300

2

4

link length / km

disp

ersi

on p

enal

ty /

dB

o

Page 28: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

40 Gb/s Power Budgets - CAP16 v. NRZ

28

Page 29: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Σ

Q

I

DATA

DATA 6 dB

PR

BS

DC

AΣ Σ Σ Σ

TRANSVERSAL FILTER

TRANSVERSAL FILTER

TRANSVERSAL FILTER

BIPOLAR DATA MULTILEVEL DATA CAP MODULATOR

Σ

Q

I

DATA

DATA 6 dB

PR

BS

DC

AΣ Σ Σ Σ

TRANSVERSAL FILTER

TRANSVERSAL FILTER

TRANSVERSAL FILTER

BIPOLAR DATA MULTILEVEL DATA CAP MODULATOR

40 Gb/s CAP16 Experimental Demonstration

29

DC

A

: RF phase shifter

FILTER

CAP DEMODULATOR

DC

A

: RF phase shifter

FILTER

CAP DEMODULATOR

“40 Gb/s Carrierless Amplitude and Phase Modulation for Low-Cost Optical Datacommunication Links”

J. D. Ingham, R. V. Penty, I. H. White, D. G. Cunningham, OFC 2011

Encoded 40 Gb/s CAP16 eye diagram Decoded 40 Gb/s CAP16 eye diagram

Page 30: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Example results in datalinks: 40 Gb/s CAP-16

In phase

Back to back 10 km SMF

Carrierless amplitude and phase modulation

Low-power transversal-filter implementation

40 Gb/s over 10 km of SMF achieved

30

In phase

channel

20 ps/div20 ps/div

Quadrature

channel

0 0.05 0.1 0.15 0.2ns

Eye diagram for one channel of a 40 Gb/s CAP16 system

0 10 20 30 40-100

-50

0

50

GHz

dB

o

Corresponding electrical spectrum J. D. Ingham et al., OFC 2011, paper OThZ3

Page 31: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Can we combine PAM and CAP Codes?

• PAM and CAP codes – Complementary frequency distribu tions

– PAM-4 and CAP-4 at 10 Gb/s

– PAM-4 and CAP-2 at 13.3 Gb/s

Lane 1

Lane 2

Lane 3

λλλλ1

3 ×××× 13.3 Gb/s Lanes 40 Gb/s by 1-wavelength CWDMLane 1

Lane 2

Lane 3

3 ×××× 13.3 Gb/s Lanes

Decoder

PAM-4

CAP-2

Page 32: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

PAM + CAP (Bi-phase )

t (ps)

200 300 4000 100

CAPSimple algorithm to separate 2 formats

– PAM: S(t) + S(t+∆τ)

– CAP: S(t) – S(t+∆τ)PAM t (ps)

PAM

CAP

f (GHz)

0 10 20-20 -10

Frequency spectra are partially overlapped

Band-pass filtering can be used

Data

– CAP: S(t) – S(t+∆τ)

∆τ = half period1 0 1 1

200 300 4000 100

Page 33: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Schematic of PAM -CAP demonstration

Data 1

Data 2

Clock

ττττ1

+

XOR

PAM

CAP

Encoder

TransmitterFiber

Decoder

Data 2Receiver

Data 1

Pow

er

CAPPAM

Band-pass filter

Low-pass filter

10GHz 10GHz

10GHz

FrequencyFrequency

Reasons for choosing PAM and CAP line codes

– Allows the use of low cost optical components and electronics

– Only requires a direct detection optical receiver prior to the decoder

– Reduces need for digital electronics for lane detection (complementary frequency distributions)

– Suitable for use with both single-mode and multi-mode optical fibre links

FrequencyFrequency

Page 34: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

37.5 Gb/s Experimental Results – Eye Diagrams

Optical combined

Electrical combined CAP-2 and PAM-4

signal

Summary

• 12.5 Gb/s baud rate

• 37.5 Gb/s aggregated data

rate

80 ps

Optical combined CAP-2 and PAM-4 signal

Decoded PAM-4 signalQ = 3.7

Decoded CAP-2 signalQ = 4.8

rate

• 5-tap transversal filter for decoding

– 32 ps tap spacing

– 16 GHz bandwidth

• Optical signal SNR degradation comes from RF amplifier

noise

Page 35: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

• Introduction to Short Link Systems

• Growing energy requirements in the internet

• Use of optics to reduce supercomputer/data center energy cost

• Modulation formats for next -generation optical

Key Themes

35

• Modulation formats for next -generation optical datacommunication links

• Candidate modulation formats

• Carrierless amplitude and phase modulation

• (If time) Reducing energy consumption of optical sw itches

• Active-passive OEICs

• Conclusions

Page 36: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Generic Integration Philosophy

Electronic integration

3 basic elements

Photonic integration

4 basic elements

WaveguidePWD

SOA PWD PHM

Phase

Amplitude

Polarisation

PWD

ϕ

ΑSOA

P

PHM

Page 37: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Photonic Integration with 4 basic Building Blocks

waveguide

curve

optical amplifier

λ converter, ultrafast switch

phase modulator

amplitude modulator

Passive Phase Amplitude

polarisation converter

pol. splitter / combiner

Polarisation

curve

AWG-demux

MMI-coupler

λ converter, ultrafast switch

picosecond pulse laser

multiwavelength laser

amplitude modulator

2x2 switch

WDM OXC

pol. splitter / combiner

pol. indep. 2x2 switch

pol. indep. diff. delay line

Page 38: Reducing the Energy Consumption of Photonics Hardware in ... · Reducing the Energy Consumption of Photonics Hardware in Data Center Networks Richard Penty, Jonathan Ingham, Adrian

Integrated 16 x 16 Port Switch

b

ac

d

a) Beamsplitter

b) Gating SOAs

c) TIR mirrord

• Very compact footprint: 6.3 mm x 6.5 mm

• Contains 192 active switching elements

• Also an additional 922 features on the interconnecting shuffle networks

• Performance good, but limited by the long all-active paths – up to 16.8 mm

• All active, consumes 16 W (currently the shuffle networks consume ~60% of the drive current)

� Reduce power consumption by active-passive integration

d) Crossing

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Active-Passive 4x4 SOA -Based Switch with Integrated Power Monitoring

1 x 2 MMI

power splitter

90 degree

Photodiode

2x2 MMI Power

splitter

Output passive

shuffle network

Booster SOA

Array

Input passive

shuffle network

Active Gating

SOA Array

90 degree

waveguide bend

• Active-passive integrated switch designed and fabricated using a generic design and foundry platform

• The switch is constructed from generic building blocks, such as passive waveguides, MMI (purple) and active gain blocks, photodiodes (white) etc.

• Monolithically integrated, high efficiency photodiode for power monitoring and control• Energy consumption reduce by 65% compared to all-active • 160Gb/s for 6W – 37pJ/bit (should scale to <10pJ/bit

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IPDR Performance for Constant Current

• Fixed current of 26mA and 45mA applied to the gating and booster SOAs respectively

• The IPDR has been measured to be 15dB for a 2dB penalty (6dB for 1dB penalty) for the path 3-4 and a 20dB IPDR (10dB for 1dB penalty) for path 4-4

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• Short haul data links are getting:• Faster• More power hungry• Harder to implement at low cost

• Modulation formats for next-generation datacommunic ation links

Conclusions

41

• Recent results in NRZ, PAM, QAM and OFDM reviewed

• Carrierless amplitude and phase modulation identifi ed as particularly suitable and initial demonstration per formed

• Active-passive integration for reduced energy photo nic circuit switches


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