Exascale Computing and Big Data.
The article examines some of the technical challenges of exascale computing and big data. Topics discussed include the history of advanced computing, the interdependence of computational modeling and data analytics, and the global ecosystem and competition for leadership in advanced computing. Also...
| Publicado en: | Communications of the ACM Vol. 58; no. 7; pp. 56 - 69 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Jul2015
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| 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=103433404&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 103433404 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jul2015 vid: 58 iid: 7 pid: 68 pub: Association for Computing Machinery artinfo: ui: 103433404 10.1145/2699414 ppf: 56 ppct: 13 formats: tig: atl: Exascale Computing and Big Data. aug: au: REED, DANIEL A. DONGARRA, JACK affil: Vice President for Research and Economic Development, and Professor of Computer Science, Electrical, and Computer Engineering and Medicine, University of Iowa University of Tennessee Oak Ridge National Laboratory University of Manchester su: Big data Data science Computer science Computer engineering Computer systems Electronic data processing sug: subj: Big data Data science Computer science Computer engineering Computer systems Electronic data processing ab: The article examines some of the technical challenges of exascale computing and big data. Topics discussed include the history of advanced computing, the interdependence of computational modeling and data analytics, and the global ecosystem and competition for leadership in advanced computing. Also mentioned are the tools and cultures of high-performance computing and big data analystics, the international nature of science that demands further development of advanced computer architectures, and the need for global standards for data processing. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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