Running Hot October 2008

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    Notes on slide 1

    I enjoyed the discussion yesterday about communicating what we do as scientists. Reminds me of talking to my daughter when she was 5, when she asked me what I do. “I try to think of new things to do with computers.” She observed “Ah, I see, you try to find a key on the keyboard that no-one has noticed before.” She was quite satisfied …

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    Running Hot October 2008 - Presentation Transcript

    1. Research in Paradise Ian Foster Computation Institute Argonne National Lab & University of Chicago
    2.  
    3. Earth to be paradise; distance to lose enchantment
      • “ If, as it is said to be not unlikely in the near future, the principle of sight is applied to the telephone as well as that of sound, earth will be in truth a paradise, and distance will lose its enchantment by being abolished altogether.”
      • — Arthur Mee, 1898
    4. Knowledge arises from experience
    5. Isaac Newton, 1687 “ I can calculate the motion of heavenly bodies, but not the madness of people.”
    6. Computing as a profession
    7. Peak performance (floating point ops/sec) Argonne 1940 1950 1960 1970 1980 1990 2000 2010 Year Introduced 1E+2 1E+5 1E+8 1E+11 1E+14 1E+17 Peak Speed (flops) Doubling time = 1.5 yr. ENIAC (vacuum tubes) UNIVAC IBM 701 IBM 704 IBM 7090 (transistors) IBM Stretch CDC 6600 (ICs) CDC 7600 CDC STAR-100 (vectors) CRAY-1 Cyber 205 X-MP2 (parallel vectors) CRAY-2 X-MP4 Y-MP8 i860 (MPPs) ASCI White, ASCI Q Petaflop Blue Gene/L Blue Pacific Delta CM-5 Paragon NWT ASCI Red Option ASCI Red CP-PACS Earth VP2600/10 SX-3/44 Red Storm ILLIAC IV SX-2 SX-4 SX-5 S-810/20 T3D T3E multi-Petaflop Thunder
    8. Exponentials are funny things Obliviousness Something’s happening Shock
    9. Type Ia Supernova : SN 1994D
    10. Don Lamb et al., FLASH Center, University of Chicago
    11. Don Lamb et al., FLASH Center, University of Chicago
    12. Don Lamb et al., FLASH Center, University of Chicago
    13. Don Lamb et al., FLASH Center, University of Chicago
    14. Don Lamb et al., FLASH Center, University of Chicago
    15. System-level science National Center for Atmospheric Research
    16. The data deluge
    17. Growth of Genbank (1982-2005) Broad Institute
    18. More data does not always mean more knowledge Folker Meyer, Genome Sequencing vs. Moore’s Law: Cyber Challenges for the Next Decade, CTWatch , August 2006.
    19.  
      • Proteomics
      • Genomics
      • Transcriptomics
      • Protein sequence prediction
      • Phenotypic studies
      • Phylogeny
      • Sequence analysis
      • Protein structure prediction
      • Protein-protein interaction
      • Metabolomics
      • Model organism collections
      • Systems biology
      • Health epidemiology
      • Organisms
      • Disease ….
      1070 molecular bio databases Nucleic Acids Research Jan 2008 (96 in Jan 2001) Slide: Carole Goble
    20. The dirty underbelly of exponentials My relative capability if I do nothing Capability at constant investment Log
    21. The Red Queen’s race
      • "Well, in our country," said Alice … "you'd generally get to somewhere else — if you run very fast for a long time, as we've been doing.”
      • "A slow sort of country!" said the Queen. "Now, here, you see, it takes all the running you can do, to keep in the same place. If you want to get somewhere else, you must run at least twice as fast as that!"
    22. Kiwi Advanced Research and Education Network
    23. An American philosopher speaks on the value of KAREN
      • “ 80 percent of success is showing up”
      Woody Allen
    24. Services for science
      • We expose data and software as services …
      • which others discover , decide to use, …
      • and compose to create new functions ...
      • which they publish as new services.
      • Technical …
      • Modeling
      • Authoring
      • Semantics
      • Discovery
      • socio-technical challenges
      • Incentives
      • Policy, trust
      • Reproducibility
      • Life cycle
      “ Service-Oriented Science”, Science , 2005 and
    25. The cancer Biomedical Informatics Grid Globus
    26. As of Sept 18, 2008: 122 participants 81 services 62 data 19 analytical
    27. As of Oct 19 , 2008: 122 participants 105 services 70 data 35 analytical
    28.  
    29. Image: Andrey Rzhetsky
    30.  
    31. New Ways of Knowing 300 BCE 1700 1950 1990 Multiplied by the power of collaboration … & exponentials Empiricism Data Theory Simulation
    32. Thank You! Computation Institute www.ci.uchicago.edu

    + Ian FosterIan Foster, 2 years ago

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