Big Iron Moves Toward Exascale Computing.

Developers and researchers face many challenges in trying to produce exascale supercomputers, which would perform a thousand times faster than today's most powerful systems.

Detalles Bibliográficos
Publicado en:Computer (00189162) Vol. 45; no. 11; pp. 14 - 18
Autor principal: Leavitt, Neal
Formato: Artículo
Publicado: IEEE Nov2012
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=83467395&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 83467395
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00189162
        PUT
      jtl: Computer (00189162)
      issn: 00189162
      maglogo: N
    pubinfo:
      dt: Nov2012
      vid: 45
      iid: 11
      pid: 13605
      pub: IEEE
    artinfo:
      ui:
        83467395
        10.1109/MC.2012.363
      ppf: 14
      ppct: 4
      formats:
      tig:
        atl: Big Iron Moves Toward Exascale Computing.
      aug:
        au: Leavitt, Neal
        affil: Leavitt Communications
      su:
        Supercomputers
        Computer engineering
        High performance computing
        Computer research
        Computers
      sug:
        subj:
          Supercomputers
          Computer engineering
          High performance computing
          Computer research
          Computers
      keyword:
        CPU
        energy efficiency
        exaflops
        exascale computers
        GPU
        high-performance computing
        HPC
        IBM Sequoia
        power consumption
        supercomputing
      ab: Developers and researchers face many challenges in trying to produce exascale supercomputers, which would perform a thousand times faster than today's most powerful systems.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      dt:
        @attributes:
          year: 2012
    holdings:
      @attributes:
        islocal: N