A VISION FOR CYBERINFRASTRUCTURE.

This article discusses the work of the U.S. National Science Foundation Office of Cyberinfrastructure, which is working to create high-performance computing (HPC) systems for scientific research. The development of supercomputing centers around the country on the Open Science Grid is described. The...

Full description

Bibliographic Details
Published in:Computer (00189162) Vol. 42; no. 1; pp. 40 - 41
Format: Article
Published: IEEE Jan2009
Subjects:
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=36111265&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 36111265
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00189162
        PUT
      jtl: Computer (00189162)
      issn: 00189162
      maglogo: N
    pubinfo:
      dt: Jan2009
      vid: 42
      iid: 1
      pid: 13605
      pub: IEEE
    artinfo:
      ui: 36111265
      ppf: 40
      ppct: 1
      formats:
      tig:
        atl: A VISION FOR CYBERINFRASTRUCTURE.
      aug:
      su:
        National Science Foundation (U.S.)
        Cyberinfrastructure
        High performance computing
        Grid computing
        Electronic data processing software
        Supercomputers
        Government policy
        United States
      sug:
        subj:
          United States
          National Science Foundation (U.S.)
          Cyberinfrastructure
          High performance computing
          Grid computing
          Electronic data processing software
          Supercomputers
          Government policy
      ab: This article discusses the work of the U.S. National Science Foundation Office of Cyberinfrastructure, which is working to create high-performance computing (HPC) systems for scientific research. The development of supercomputing centers around the country on the Open Science Grid is described. The challenges associated with developing software systems that can be used to interpret the volume of information collected by data-intensive systems is described.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      dt:
        @attributes:
          year: 2009
    holdings:
      @attributes:
        islocal: N