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1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross + , Mark Oden, Mukund Navada , Alan D. George + High Performance Computing and Simulation Research Laboratory Department of Electrical and Computer Engineering University of Florida , Gainesville This work was supported by the U.S. National Science Foundation + Also Affiliated with NSF Center for High-Performance Reconfigurable Computing
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Page 1: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

1 of 20

Smart-NICs: Power Proxying for Reduced Power Consumption in

Network Edge DevicesKarthikeyan Sabhanatarajan, Ann Gordon-Ross+ , Mark Oden, Mukund Navada ,

Alan D. George+

High Performance Computing and Simulation Research LaboratoryDepartment of Electrical and Computer Engineering

University of Florida , Gainesville

This work was supported by the U.S. National Science Foundation

+ Also Affiliated with NSF Center for High-Performance Reconfigurable Computing

Page 2: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Introduction

INTERNET

Page 3: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Introduction• Connected edge devices account for 2% of the total power consumed in the US [EPA-06]

– 130 TWh/Year

• This is $1.3 billion @ $.10 per kWh• 1 single-unit nuclear power plant

outputs 8 TWh/Year

• Translates to 16 single-unit nuclear power plants!

• Why so much power?– PCs can consume up to 200 W– 1 billion PCs worldwide by 2010 [Kanellos-04]

• What can we do?– PCs are idle 75% of the time [Purushothaman-06]– But only 10% of PCs are allowed to sleep during that time [EPA-06]– Sleeping reduces power consumption by 80% or more– If PCs were allowed to sleep, only 3 single-unit nuclear power plants would be required

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Question: Why aren’t these PCs asleep?!?!

Page 4: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Maintaining Network Connectivity

INTERNET

IDLE

GNUTELLA FILE SHARING APPLICATION

FILE QUERY PACKET

FILE RESPONSE PACKET

Bob

Alice

Alice checks to see if Bob has a file needed for p2p file sharing

Z

Z

z

zFILE QUERY PACKET

Problem: PC must be awake to maintain network connectivity

Page 5: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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A Solution – Power Proxying• Primary challenge is to maintain network connectivity

while the PC is power down to standby mode - sleeping• Some packets do not require a complex response

– Automated responses are sufficient

– Network Interface Card (NIC) can act as proxy for the PC

– Allow the PC to sleep while NIC services packets with automated responses

– A technique known as power proxying

– We call such a NIC a “Smart”-NIC - SNIC

Page 6: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Power Proxying

INTERNET

IDLE

GNUTELLA FILE SHARING APPLICATION

Alice

Bob

Z

Z

z

z

PC delegates power to the SNIC to handle to network traffic

FILE QUERY PACKET

FILE RESPONSE PACKET

Page 7: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Power Proxying

INTERNET

IDLE

Proxiable Packet

Response

Z

Z

z

z

Chatter Packet

Non-Proxiable/Wake up Packet

SNIC

ResponseBob

Page 8: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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What to Proxy? - Proxiable Protocols• Proxiable protocols - Network protocols amenable to proxying

– Responses may be automated

– Keep alive packets, IP conflict avoidance, etc.

Z

Z

z

z

IDLE

FOUR Categories of Proxiable Packets

ARP QUERY

ARP RESPONSE

PING

PING RESPONSE

P2P FILE QUERY

P2P RESPONSE

Mail Notification

ARP (Address Resolution Protocol)

ICMP (Internet Control Message Protocol)

TCP (Transmission Control Protocol)

UDP (User Datagram Protocol)

Page 9: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Response

Power Proxying Operation

z

z

z

IDLE

SNIC

Packet Classifier

Application Handler

1. PC decides to sleep2. PC offloads power proxy rules to the SNIC3. PC sleeps and SNIC proxy is activated

Rules

4. Packet Arrives

Rules

Rules

source

addr

source port

dest port

?=?=?=?=?=

Match?

No

(not

cha

tter

)

7(a) Wake up PC

7(b) DiscardNo

(chatter)

Yes

7(c) Invoke app handler

Payload Header

6. Rule checking

5. Header inspection

Payload Header

App ID

8. Determine response

?

9. Proxyied Response

SW

HW or SW?

source

addr

source port

dest port

Page 10: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Packet Classifier Requirements

PC-BASED CLASSIFIER ROUTER-BASED CLASSIFIER

3) Operates only during system inactivity 3) Continual operation

4) Process packets addressed only to a particular destination and Broad/MultiCast packets

4) Process packets to any destination

5) Limited processing resources - processors clocked in MHz

5) Processors clocked in GHz range

1) Must sustain link rates of 10/100/1000/10000 Mbps

1) Must sustain link rates of 10/100/1000/10000 Mbps

2) No packet loss allowed 2) No packet loss allowed

6) Limited number of rules directly depend on number of proxiable applications running

6) Larger number rules with a wide complexity range

7) Packets match only one rule - rules are disjoint 7) Packets can match multiple rules

Page 11: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Packet Classifier - SW vs. HW

Software Classifier Hardware Classifier

1) Limited operating frequency between 66 MHz to 400 MHz

1) Custom hardware can be designed for the required frequency

2) Cannot meet the network throughput demands even for the fastest packet classification algorithms

2) Can easily meet the network throughput demands

3) High power even during idle period 3) Comparatively lower power

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Page 12: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Rules

Header Processor

Header Processor

Incoming Packet(From MAC Core)

Packet Class

Application ID

Source Port CAM

Dest PortCAM

Match Matc

h

Matc

h

Match AddressMatch Address

Addre

ss

Addre

ss

Address

Matc

h ID

MultiMatch

Source PortSource IP Dest Port

Custom HW Packet Classification

Source IP

Source IPAddress

CAM

Source Port

Source Port CAMSource

Port CAM

Dest Port

Dest PortCAM

Dest PortCAM

Invokes applicati

on handler

OR

MultiMatch

Mult

iMatc

h

Mult

iMatc

h

Source IPAddress

CAM

Source IPAddress

CAM

Page 13: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Packet Classifier Placement

From PHY

Packet ClassifierPacket Descriptor FIFO

Tx FIFO

Rx FIFO

MAC Core

uPApplication

Handler

Response No change to critical path

Page 14: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Experimental Setup

• Software packet classifier– Implemented on RiceNIC platform using PowerPC405

• RiceNIC is a programmable NIC

– PowerPC clocked at 300 MHz and 100 MHz

• Hardware packet classifier – Xilinx IP cores to generate CAMs as block memory

– Prototyped in Verilog HDL

– System implemented and simulated using Xilinx ISE 9.1 and ModelSIM

– Clocked at 1.25 MHz, 12.5 MHz, and 125 MHz corresponding to 10 Mbps, 100 Mbps, and 1000 Mbps

– Power calculated using Xilinx XPower

Page 15: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Results – Packet Classification Time• Hardware classification outperforms software

classification at 300 MHz and 100 MHz

Worst-case packet classification time for each protocol class with 100 rules

0

500

1000

1500

2000

2500

3000

3500

4000

ARP ICMP UDP TCP

Classification Time(ns)

Hardware at125MHz(1Gbps)PowerPC - 300MHz

PowerPC - 100MHz

Increasing packet classification complexity

Page 16: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Results – Classification Time Vs Rules• As more applications are identified as proxyiable, rule set sizes will increase

• Thus scalability is important

0

500

1000

1500

2000

2500

3000

3500

4000

20 40 60 80 100

Number of Rules

Classification Time(ns)

Hardware - 125 MHz - UDP Hardware - 125MHz - TCPPPC - 300MHz - UDP PPC - 300MHz - TCPPPC - 100MHz - UDP PPC - 100MHz - TCP

Software

Logarithmic

ConstantHardware

Page 17: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Results – Packet Throughput• Throughput is measured in Millions of Packets Per Second

(MPPS)

0

0.5

1

1.5

2

2.5

3

20 40 60 80 100

Number of Rules

Throughput(MPPS)

Hardware - 125MHz PPC - 300MHz

PPC - 100MHz Ethernet Throughput Limit

Minimum throughput for 1Gpbs

Software cannot meet requirement

s!

Hardware exceeds Gbps throughput

Page 18: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Results – HW Speedup vs. SW

0

2

4

6

8

10

12

20 40 60 80 100

Number of Rules

Speedup

300 MHz - UDP 300 MHz - TCP

100 MHz - UDP 100 MHz -TCP

9x speedupto

2.5x speedup

Page 19: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Results – Power Consumption• SW classifier is 2.4x more power than HW

– SW = 259.5 mW and 441 mW for 100 MHz and 300 MHz respectively

– HW = 180 mW for 100 rules.

• Link rate scalability– For SW to meet 1 Gpbs throughput

• Clocked at 500 MHz

• Require an additional 294 mW of power

• Resulting in 4x more power than HW

Page 20: 1 of 20 Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices Karthikeyan Sabhanatarajan, Ann Gordon-Ross +, Mark Oden, Mukund.

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Conclusions• PCs consume a lot of power

– Left powered on to maintain network connectivity

• Introduced power proxying– SNIC maintains network connectivity so PC can sleep

– Can increase sleep time by 85% [Purushothamom-06]

• Low-power hardware-based packet classifier to enable power proxying– Exceeds Gigabit Ethernet throughput requirement

– Up to 9x speedup in packet classification time over a software packet classifier

– 75% less power than a software packet classifier

– Better scalability with respect to future rule set size and link rates than a software packet classifier


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