GreenLight Project Overview


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GreenLight project overview slides from Greg Hidley, February 25, 2009.

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  • Packet network in a box --- E1200. Passive DWDM enables huge bandwidth.
  • Mass Spectromety
  • This is a production cluster with it’s own Force10 e1200 switch. It is connected to quartzite and is labeled as the “CAMERA Force10 E1200”. We built CAMERA this way because of technology deployed successfully in Quartzite
  • GreenLight Project Overview

    1. 1. Project GreenLight February 25, 2009 Dr. Gregory Hidley California Institute for Telecommunications and Information Technology, UCSD
    2. 2. ICT is a Key Sector in the Fight Against Climate Change Applications of ICT could enable emissions reductions of 7.8 Gt CO 2 e in 2020, or 15% of business as usual emissions. But it must keep its own growing footprint in check and overcome a number of hurdles if it expects to deliver on this potential.
    3. 3. ICT Industry is Already Acting to Reduce Carbon Footprint
    4. 4. The CyberInfrastructure (CI) Problem <ul><li>Compute energy/rack : 2 kW (2000) to 30kW in 2010 </li></ul><ul><li>Cooling and power issues now a major factor in CI design </li></ul><ul><li>IT industry is “greening” huge data centers … but today every $1 spent on local IT equipment will cost $2 more in power and overhead </li></ul><ul><li>Academic CI is often too small: departmental closet scale </li></ul><ul><li>Energy use of departmental facilities is exponentiating creating campus crises of space, power, and cooling </li></ul><ul><li>Unfortunately, little is known about how to make shared virtual clusters energy efficient, since there has been no financial motivation to do so </li></ul><ul><li>Challenge: how to make data available on energy efficient deployments of rack scale hardware and components? </li></ul>
    5. 5. The NSF-Funded GreenLight Project Giving Users Greener Compute and Storage Options <ul><li>Measure and Control Energy Usage: </li></ul><ul><ul><li>Sun Has Shown up to 40% Reduction in Energy </li></ul></ul><ul><ul><li>Active Management of Disks, CPUs, etc. </li></ul></ul><ul><ul><li>Measures Temperature at 5 Levels in 8 Racks </li></ul></ul><ul><ul><li>Power Utilization in Each of the 8 Racks </li></ul></ul><ul><ul><li>Chilled Water Cooling Systems </li></ul></ul>UCSD Structural Engineering Dept. Conducted Tests May 2007 UCSD (Calit2 & SOM) Bought Two Sun MD’s May 2008 $2M NSF-Funded GreenLight Project Source: Tom DeFanti, Calit2; GreenLight PI
    6. 6. The GreenLight Project: Instrumenting the Energy Cost of Computational Science <ul><li>Focus on 5 Communities with At-Scale Computing Needs: </li></ul><ul><ul><li>Metagenomics </li></ul></ul><ul><ul><li>Ocean Observing </li></ul></ul><ul><ul><li>Microscopy </li></ul></ul><ul><ul><li>Bioinformatics </li></ul></ul><ul><ul><li>Digital Media </li></ul></ul><ul><li>Measure, Monitor, & Web Publish Real-Time Sensor Outputs </li></ul><ul><ul><li>Via Service-oriented Architectures </li></ul></ul><ul><ul><li>Allow Researchers Anywhere To Study Computing Energy Cost </li></ul></ul><ul><ul><li>Enable Scientists To Explore Tactics For Maximizing Work/Aatt </li></ul></ul><ul><li>Develop Middleware that Automates Optimal Choice of Compute/RAM Power Strategies for Desired Greenness </li></ul><ul><li>Partnering With Minority-Serving Institutions Cyberinfrastructure Empowerment Coalition </li></ul>Source: Tom DeFanti, Calit2; GreenLight PI
    7. 7. Planned UCSD Energy Instrumented Cyberinfrastructure N x 10 Gbit N x 10 Gbit 10 Gigabit L2/L3 Switch Eco-Friendly Storage and Compute Microarray Your Lab Here On-Demand Physical Connections <ul><li>“ Network in a box “ </li></ul><ul><li>> 200 Connections </li></ul><ul><li>DWDM or Gray Optics </li></ul>Active Data Replication Source:Phil Papadopoulos, SDSC/Calit2 <ul><li>Wide-Area 10G </li></ul><ul><li>Cenic/HPR </li></ul><ul><li>NLR Cavewave </li></ul><ul><li>Cinegrid </li></ul><ul><li>… </li></ul>
    8. 8. Threat to CI Deployment—CSE Research Needed on How to Deploy a Green CI <ul><li>Computer Architecture </li></ul><ul><ul><li>Rajesh Gupta/CSE </li></ul></ul><ul><li>Software Architecture </li></ul><ul><ul><li>Amin Vahdat, Ingolf Kruger/CSE </li></ul></ul><ul><li>CineGrid Exchange </li></ul><ul><ul><li>Tom DeFanti/Calit2 </li></ul></ul><ul><li>Visualization </li></ul><ul><ul><li>Falko Kuster/Structural Engineering </li></ul></ul><ul><li>Power and Thermal Management </li></ul><ul><ul><li>Tajana Rosing/CSE </li></ul></ul><ul><li>Analyzing Power Consumption Data </li></ul><ul><ul><li>Jim Hollan/Cog Sci </li></ul></ul> MRI Source: Tom DeFanti, Calit2; GreenLight PI
    9. 9. UCSD is Installing Zero Carbon Emission Solar and Fuel Cell DC Electricity Generators San Diego’s Point Loma Wastewater Treatment Plant Produces Waste Methane UCSD 2.8 Megawatt Fuel Cell Power Plant Uses Methane 2 Megawatts of Solar Power Cells Being Installed Available Late 2009
    10. 10. Zero Carbon GreenLight Experiment: DC-Powered Modular Data Center <ul><li>Concept—Avoid DC to AC to DC Conversion Losses </li></ul><ul><ul><li>Computers Use DC Power Internally </li></ul></ul><ul><ul><li>Solar and Fuel Cells Produce DC </li></ul></ul><ul><ul><li>Both Plug into the AC Power Grid </li></ul></ul><ul><ul><li>Can We Use DC Directly (With or Without the AC Grid)? </li></ul></ul><ul><li>DC Generation Can Be Intermittent </li></ul><ul><ul><li>Depends on Source </li></ul></ul><ul><ul><ul><li>Solar, Wind, Fuel Cell, Hydro </li></ul></ul></ul><ul><ul><li>Can Use Sensors to Shut Down or Sleep Computers </li></ul></ul><ul><ul><li>Can Use Virtualization to Halt/Shift Jobs </li></ul></ul><ul><li>Experiment Planning Just Starting </li></ul><ul><ul><li>Collaboration with Sun and LBNL </li></ul></ul><ul><ul><li>NSF GreenLight Year 2 and Year 3 Funds </li></ul></ul>Source: Tom DeFanti, Calit2; GreenLight PI Sun Box <200kWatt
    11. 11. UCSD is Studying a Global Demonstration Project for Sea Water Cooling <ul><li>UCSD is uniquely located to use cold seawater from one of only 40 deep shoreline sites in the world. It can supply cold water essential for air conditioning laboratories and computer rooms </li></ul><ul><li>Initial study of La Jolla underwater trench suggests a seawater cooling system could produce savings of $4M/yr and 100 million gallons of fresh water per year. </li></ul>
    12. 12. GreenLight Goals: More Work/Watt <ul><li>Measure then minimize energy consumption </li></ul><ul><li>Develop middleware that automates optimal choice of compute/RAM power strategies </li></ul><ul><li>Discover better power efficiency configurations and architectures </li></ul><ul><li>Teach the next generation of engineers who must scale from an education in Computer Science to a deep understanding in engineering physics </li></ul><ul><li>Build a full-scale virtualized device, the GreenLight Instrument </li></ul><ul><li>Measure, monitor, and make publicly available, via service-oriented architectures, real-time sensor outputs </li></ul><ul><li>Focus on 5 communities: metagenomics, ocean observing, microscopy, bioinformatics, and digital media </li></ul><ul><li>Allow researchers anywhere to study the energy cost of at-scale scientific computing </li></ul>
    13. 13. The GreenLight Project Focuses on Minimizing Energy for Key User Communities <ul><li>Microbial Metagenomics </li></ul><ul><li>Ocean Observing </li></ul><ul><li>Microscopy </li></ul><ul><li>Bioinformatics </li></ul><ul><li>Digital Media—CineGrid Project </li></ul><ul><ul><li>Calit2 will Host TBs of Media Assets in GreenLight CineGrid Exchange to Measure and Propose Reductions in the “Carbon Footprint” Generated by: </li></ul></ul><ul><ul><ul><li>File Transfers and </li></ul></ul></ul><ul><ul><ul><li>Computational Tasks </li></ul></ul></ul><ul><ul><li>Required for Digital Cinema and Other High Quality Digital Media Applications </li></ul></ul>
    14. 14. Improve Mass Spectrometry’s Green Efficiency By Matching Computational Proteomics Algorithms to Specialized Processors <ul><li>INSPECT Implements the Very Computationally Intense MS-Alignment Algorithm for Discovery of Unanticipated Rare or Uncharacterized Post-Translational Modifications </li></ul><ul><li>Solution: Hardware Acceleration with a FPGA-Based Co-Processor </li></ul><ul><ul><li>Identification and Characterization of Key Kernel for MS-Alignment Algorithm </li></ul></ul><ul><ul><li>Hardware Implementation of Kernel on Novel FPGA-based Co-Processor (Convey Architecture) </li></ul></ul><ul><li>Results: </li></ul><ul><ul><li>300x Speedup & Increased Computational Efficiency </li></ul></ul>Large Savings in Energy Per Application Task
    15. 15. CineGrid Exchange: Using Optical Fibers to Create Remote Storage Global Warming will Drive Cloud Computing!
    16. 16. Calit2 Microbial Metagenomics Cluster- Next Generation Optically Linked Science Data Server 512 Processors ~5 Teraflops ~ 200 Terabytes Storage 1GbE and 10GbE Switched / Routed Core ~200TB Sun X4500 Storage 10GbE Source: Phil Papadopoulos, SDSC, Calit2
    17. 17. Coupling AARNet - CENIC/PW - CANARIE Optical Nets: An Australian-U.S.-Canada Green Cloud Testbed Toward Zero Carbon ICT
    18. 18. Application of ICT Can Lead to a 5-Fold Greater Decrease in GHGs Than its Own Carbon Footprint <ul><li>Major Opportunities for the United States* </li></ul><ul><ul><li>Smart Electrical Grids </li></ul></ul><ul><ul><li>Smart Transportation Systems </li></ul></ul><ul><ul><li>Smart Buildings </li></ul></ul><ul><ul><li>Virtual Meetings </li></ul></ul><ul><li>* Smart 2020 United States Report Addendum </li></ul><ul><li> </li></ul>While the sector plans to significantly step up the energy efficiency of its products and services, ICT’s largest influence will be by enabling energy efficiencies in other sectors, an opportunity that could deliver carbon savings five times larger than the total emissions from the entire ICT sector in 2020. --Smart 2020 Report