• DocumentCode
    3306848
  • Title

    New architectures for a new biology

  • Author

    Shaw, D.E.

  • Author_Institution
    D. E. Shaw Res. & Dev., Columbia Univ., NY, USA
  • fYear
    2006
  • fDate
    11-15 Feb. 2006
  • Firstpage
    4
  • Abstract
    Summary form only given. Some of the most important outstanding questions in the fields of biology, chemistry, and medicine remain unsolved as a result of our limited understanding of the structure, behavior and interaction of biologically significant molecules. The laws of physics that determine the form and function of these biomolecules are well understood. Current technology, however, does not allow us to simulate the effect of these laws with sufficient accuracy, and for a sufficient period of time, to answer many of the questions that biologists, biochemists, and biomedical researchers are most anxious to answer. This talk describes the current state of the art in biomolecular simulation and explores the potential role of high-performance computing technologies in extending current capabilities. Efforts within our own lab to develop novel architectures and algorithms to accelerate molecular dynamics simulations by several orders of magnitude would be described, along with work by other researchers pursuing alternative approaches. If such efforts ultimately prove successful, one might imagine the emergence of an entirely new paradigm in which computational experiments take their place alongside those conducted in "wet" laboratories as central tools in the quest to understand living organisms at a molecular level, and to develop safe, effective, precisely targeted medicines capable of relieving suffering and saving human lives.
  • Keywords
    biology computing; digital simulation; biology; biomolecular simulation; high-performance computing technologies; molecular dynamics simulations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High-Performance Computer Architecture, 2006. The Twelfth International Symposium on
  • Conference_Location
    Austin, TX
  • ISSN
    1530-0897
  • Print_ISBN
    0-7803-9368-6
  • Type

    conf

  • DOI
    10.1109/HPCA.2006.1598107
  • Filename
    1598107