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Exploring the LoCal ATOM Blade for Energy-Responsive Cluster Design

Discover how the LoCal ATOM Blade presents a new data point in cluster design by offering fine-grain energy control and distributed energy storage, allowing for efficient load distribution and node management. This initiative investigates the potential of utilizing smaller, low-power ATOM-based units for system-level experiments and demands a responsive server power consumption strategy.

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Exploring the LoCal ATOM Blade for Energy-Responsive Cluster Design

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  1. Exploring The Green Blade Ken Lutz University of California, Berkeley LoCal Retreat, June 8, 2009

  2. Motivation • To Realize An Energy Responsive Blade and Cluster • Consolidate Load within the cluster • Turn OFF Underutilized Blades • Explore a smaller unit of replication • Run on Battery providing Demand Response • Platform for System Level Experiments

  3. Server Power Consumption Maybe we can explore a new data point

  4. ATOM Blade • Explore a New Building Block • Inexpensive ($100) and Low Power (25W) • Based on the Intel ATOM 330 CPU • Dual Core – 45nm • 8W MAX • Smaller Unit of Replication so expect a cluster will have more units to do the same work • Fine Grain Control

  5. Energy Responsive Node Node On/OFF Battery Backup AC ON/OFF ATOM UPS Controller

  6. LoCal ATOM Cluster • (4) ATOM Motherboards – Almost 1U • 160MB Disk Drive • 10/100 Ethernet • 2GB DRAM • USB etc • DC-DC converter with UPS switch and Battery • Where is the power going?

  7. Room for Improvement… ATOM CPU Bridge Chip Dc-DC Converter Clock Generator TV Encoder Audio Codec Intel I/O controller hub Chip

  8. No Heat Sinks Not Steady State

  9. Idle Power CPU Power Control Schemes may have a limited effect

  10. Conclusion • The goal is to explore a new data point in cluster design • Small nodes allow fine grained load distribution • Ability to turn nodes off • Explore limited but distributed energy storage • Learn about the system level problems

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