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Every Joule is Precious Carla Schlatter Ellis Duke University

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Every Joule is Precious Carla Schlatter Ellis Duke University Milly Watt Project Systems & Architecture – PowerPoint PPT presentation

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Title: Every Joule is Precious Carla Schlatter Ellis Duke University


1
Every Joule is PreciousCarla Schlatter
EllisDuke University
Milly Watt Project
Systems Architecture
2
Energy in Computing
  • Energy for computing is an important problem(
    not just for mobile computing)
  • Reducing heat production and fan noise
  • Extending battery life for mobile/wireless
    devices
  • Conserving energy resources (lessen environmental
    impact, save on electricity costs)
  • Energy should be a first class resource at
    upper levels of system design

3
Understanding the Energy Problem
  • Energy (Joules) Power (watts) Time (sec)
  • E P t
  • Power (watts) Voltage (volts) Current (amps)
  • P V I
  • Current (amps) Voltage (volts) / Resistance
    (ohms)
  • I V / R

4
Demand SideHW Power Budget
CPU
Cache
Memory Bus
I/O Bridge
I/O Bus
Main Memory
Disk Controller
Graphics Controller
Network Interface
Graphics
Disk
Disk
Network
Intel targets
5
Reducing Demand
HW / SW Cooperation
  • Software
  • High level
  • Coarse grain
  • OS, compiler or application
  • Affect usage patterns

Hardware
  • Voltage Scaling
  • Clock gating
  • Power modes Turning off HW blocks
  • Low level
  • Fine grain
  • Low-power Circuits
  • Re-examine interactions between HW and SW,
    particularly within the resource management
    functions of the Operating System

6
Supply Side Battery Properties
  • Battery models provide strategyBattery lifetime
    can be determined by controlling discharge
    rate.Limiting availability of currentcy.

7
Battery Discharge Behavior
Discharge behavior of lithium-ion cell withVoc
3V and Vcut 1V
8
Energy Goals /Metrics
  • Battery lifetime (hours)
  • Energy usage (by fixed task set) (Joules)
  • Energy Delay (penalizes achieving energy
    saving by bad performance)
  • Work units / joule (e.g. Mbytes/joule or
    MIPS/joule)
  • Work / battery discharge.
  • Thermal limits (constrained power) (Watts)

9
How to Reduce Energy Consumption?
  • Energy S Poweri x Timei
  • To reduce energy used for task
  • Reduce power cost of power state ithrough better
    technology.
  • Reduce time spent in the higher cost power
    states.
  • Amortize transition states, if significant.

i e powerstates
10
Energy the OS
  • Traditionally, the system-wide view of resources
    and workload demands resides with the OS
  • Explicitly managing energy will require
    coordination with typical resource management
  • Energy is not just another resource
  • Energy has a impact on every other resource of a
    computing system it is central.
  • A focus on energy provides an opportunity to
    rethink OS design

11
Traditional Influences in OS Design
Scientific computationsDatabase operations
Multi-user
Workload
Services API
Goals/Metrics
Internal Structure
Policies / Mechanisms
Performance asBandwidth and Latency.
Hardware Resources
Processor, Memory, Disks, Network
12
Rethinking OS Design
  • What is the impact of changing the primary
    goal of the OS to energy rather than
    (speed-based) performance?
  • Affects every aspect of OS services and
    structure
  • Interfaces needed by applications that want to
    affect power consumption
  • Internal organization and algorithms
  • Resource management policies and mechanisms

13
Rethinking OS Design
Productivity applications, Games,
Multimedia, Web access,
Personal (PDAs),
Embedded, E-Commerce.
Workload
Services API
Goals/Metrics
Internal Structure
Policies / Mechanisms
Energy
Hardware Resources
Processor, Memory, Disks, Wireless
networking, Mic Speaker, Motors Sensors,
Batteries
14
Rethinking OS Design
Non-energy-awaregeneral purpose applications
Workload
Services API
Goals/Metrics
Internal Structure
Policies / Mechanisms
Batterylifetime
Hardware Resources
Battery-powered Laptop
15
Related Work
  • Energy-unaware OS
  • Low-power hardware, energy-aware compilers,
    algorithm development
  • Services (Chase MUSE)
  • Energy-aware OS with Unaware applications
  • Per-device solutions (disk spindown, DVS)
  • Energy-aware OS with cooperating Energy-aware
    Applications
  • Flinn Odyssey (fidelity-based), Bellosa Coop
    I/O, Nemesis OS

16
Milly Watt Activities
  • ECOSystem Explicitly managing energy via the OS
    (ASPLOS02, USENIX03)
  • Power-aware memory(ASPLOS00, ISLPED01, PACS02,
    PACS03)
  • FaceOff Sensor-based display power management
    (HOTOS03, Mobisys Context Aware 04)

17
Milly Watt Activities
  • ECOSystem Explicitly managing energy via the OS
    (ASPLOS02, USENIX03)
  • Power-aware memory(ASPLOS00, ISLPED01, PACS02,
    PACS03)
  • FaceOff Sensor-based display power management
    (HOTOS03, Mobisys Context Aware 04)

18
Milly Watt Activities
  • ECOSystem Explicitly managing energy via the OS
    (ASPLOS02, USENIX03)
  • Power-aware memory(ASPLOS00, ISLPED01, PACS02,
    PACS03)
  • FaceOff Sensor-based display power management
    (HOTOS03, Mobisys Context Aware 04)

19
For More Information
  • www.cs.duke.edu/ari/millywatt/
  • email carla_at_cs.duke.edu
  • Experiences in Managing Energy with
    ECOSystem,Heng Zeng, Carla Ellis, and Alvin
    Lebeck, IEEE Pervasive Computing, January-March
    2005.
  • Currentcy Unifying Policies for Resource
    Management,H. Zeng, C. Ellis, A. Lebeck, A.
    Vahdat, in USENIX 2003 Annual Technical
    Conference
  • ECOSystem Managing Energy as a First Class
    Operating System Resource, H. Zeng, X. Fan, C.
    Ellis, A. Lebeck, and A. Vahdat, Proceedings of
    ASPLOS 2002
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