copyright © 2004-2008 intel corporation carry small, live large lakshman krishnamurthy principal...
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Copyright © 2004-2008 Intel Corporation
Carry Small, Live Large
Lakshman Krishnamurthy Principal Engineer
Communications Tech Lab
February 2007
Copyright © 2004-2008 Intel Corporation
Contributors:Contributors:
Mary Smiley Alan Crouch Raj Hazra Steve Tolopka Raj YavatkarKetan Paranjape
Mike Deisher David Graumann Anthony LaMarca Margaret Morris Tom StroebelRoy Want
Thank you!
Nikhil Deshpande Sridhar Iyengar Lama Nachman Manoj Sastry Mark YarvisJeff Forester
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What is the Future of Mobility?What is the Future of Mobility?
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What is the Future of Mobility?What is the Future of Mobility?
•Mobile Technology is getting:– Smaller– Thinner– More Powerful– Always Connected
What more can we Expect?
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VisionVision
WorkWork
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VisionVision
PlayPlay
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VisionVision
ThriveThrive
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Intel CES Keynote ExampleIntel CES Keynote Example
•http://intel_ces.edgesuite.net/2008/home.html
•Please click and watch from min 3.30
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My Mobile Life
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Carry Small – Large UI (Dockless)
Immersion & Multi-device GI Carry Small – Large Game (CPU/GFX sharing)
Carry Small – Large Experience
My Mobile Life
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Realizing the Mobility VisionRealizing the Mobility Vision
Complete User Experience
Human Computer Interaction
Context Awareness
Context Awareness
• Sensing• Learning• Inferencing
•Simple•Unobtrusive•Intuitive•Personalized•Composible•Wearable
Mobile Platforms and Architecture
PervasiveConnectivity
PervasiveConnectivity
•Performance•Low Power•Size•Micro-architecture•ComposibilityI•Identity
• 3G• WiMax• WiFi• Wireless
PAN
Security Privacy Reliability Cost
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Realizing the Vision:Realizing the Vision:
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What am I up to?What are my vital signs(heart, temp), Am I moving?talking? Who am I emailing?
What are my Preferences?Foods, Health needs, Room temper-ature, Audio level, Interests,Products, Web surfing habits..
Sensing (Implicit, Explicit)
User
Who am I?Name, Age, Address, Weight,Height, Place of birthEducation, Job
What is my Environment?Location, Temperature, Weather,Schedule, Traffic, What’s aroundme? What am I looking at? Whatam I eating? Time?
Noise
Noise
Context AwarenessUnderstandingUnderstanding
Perception
Feedback
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GuidingGuiding
Targeted product information“New release of book by yourfavorite author”
Targeted health information“It’s time for your medication”
General guidance“You may miss your flight dueTo traffic”
Inferencing / Training / Machine Learning
User
Noise
Guidance
Feedback
Context Awareness
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DecidingDeciding
Targeted product information“The new book by your favoriteAuthor has been shipped”
Targeted health information“Alerting medical professionals”
General guidance“You have been rescheduled ona different flight”
Decision Making / Actuation / Action
User
Feedback
Noise
Validation
Context Awareness
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Key ChallengesKey Challenges
•Sensing• Accurate, wearable sensors• Power, computation,
bandwidth tradeoffs• Multi-modal inputs
• Inferencing• Training• Machine Learning
•Privacy/Security
Tier 1: On-body Sensors & UI
Tier 2 : On-body Aggregators
Tier 3 : Backend Systems
Context Awareness
Performance,Power & Connectivity
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Simplicity is keySimplicity is key
AccessibleAccessible SocialSocial
PersonalPersonal
Optimal
Faster, Actually Mobile,Intuitive
Well mannered,Culturally Sensitive
Desirable, Enjoyable,Fun
Comfortable, Customizable,Expressive
Human Computer Interaction
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•Accessible– Intuitive Interaction– Instant Accessibility– Actually Mobile
Key ChallengesKey Challenges Human Computer Interactive
•Social– Private
•Personal– Fashionable – Wearable
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Vision Points to Radical Mobile Platform TransformationVision Points to Radical Mobile Platform Transformation
WirelessUpto 6Gps
SoundKeyMouse
Sensors
StorageDisplay
CPUGFX
Display
Sound
KeyMouse
Sensors
Camera
Storage
Network
CPU MEM GFX I/O
Small UILarge StorageNetwork
CPU MEM GFX I/O
Carry Small
Live Large
Platform
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Composability: DocklessComposability: Dockless
One-time user assisted configuration
User initiated control – location/activity
Automaticwirelessplatformcomposition
Platform
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Phase 3: Platform I/O over Wireless: RequirementsPhase 3: Platform I/O over Wireless: Requirements
5ms50-1008 KbpsHID/ External Sensors
5ms1 MbpsComposable game
50-10054 MbpsText and Images Display
54 MbpsSlow Synch and go
15ms40MbpsCompressed Video Streams Display
50-100 5ms20 MbpsRich sensors/HID
5ms15msDVI 2-3 GbpsHDMI- 2-7GbpsUDI- 3-16 Gbps
Raw Display for Composites/games
300 Mbps-3 Gbps
Rapid Synch & Go(down load/upload movies, backup, rapid game synch)
Game latency (ms)
Latency (ms)
Maximum B/W
Remote Wireless I/O Form
Possible TodayNo issuesPossible TodayNo issues
Possible TodayRequires Power efficiency during sustained use
Possible TodayRequires Power efficiency during sustained use
Re-architecture neededRe-architecture needed
5ms
5ms
15ms
5ms
5ms15ms
Usages can start with today’s Wireless
Platform I/O re-architecture required: Multi-Gigabit Wireless, power efficient data path, meeting latency
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Raw Display Poses Bandwidth ChallengeRaw Display Poses Bandwidth Challenge
DVI
HDMI
UDI
WirelessB/W
Gb
ps
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14
12
10
8
6
4
2
0
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05
20
06
20
07
20
08
20
09
20
10
GA
PEven with 60Ghz wireless we will have a gap
Need to encode/compress video before sending out
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Realizing the Mobility VisionRealizing the Mobility Vision
Complete User Experience
Human Computer Interaction
Context Awareness
Context Awareness
• Sensing• Learning• Inferencing
•Simple•Unobtrusive•Intuitive•Personalized•Composible•Wearable
Mobile Platforms and Architecture
PervasiveConnectivity
PervasiveConnectivity
•Performance•Low Power•Size•Micro-architecture•Composibility•Identity
• 3G• WiMax• WiFi• Wireless
PAN
Security Privacy Reliability Cost
Copyright © 2004-2008 Intel Corporation
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Call to ActionCall to Action
• We welcome your proposals in this exciting research space!> Email [email protected]
>Key Research Areas Machine Learning Inferencing Sensing Composable systems
Human Computer Interaction Privacy/Security Trust
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