ENERGY-EFFICIENT COMPUTING FOR EXTREME-SCALE SCIENCE.
The article focuses on computer low-power architectures and design processes for efficient application in the extreme scale. The Green Flash design reportedly shows how successful design processes can be applied to scientific computing and how the growth of on-chip-parallelism can be managed. It is...
| Publicado en: | Computer (00189162) Vol. 42; no. 11; pp. 62 - 72 |
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| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
IEEE
Nov2009
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| 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=45591138&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 45591138 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Nov2009 vid: 42 iid: 11 pid: 13605 pub: IEEE artinfo: ui: 45591138 10.1109/MC.2009.353 ppf: 62 ppct: 10 formats: tig: atl: ENERGY-EFFICIENT COMPUTING FOR EXTREME-SCALE SCIENCE. aug: au: Donofrio, David Oliker, Leonid Shalf, John Wehner, Michael F. Rowen, Chris Krueger, Jens Kamil, Shoaib Mohiyuddin, Marghoob affil: Lawrence Berkeley National Laboratory Tensilica Fraunhofer Institute, Germany University of California, Berkeley su: Computer architecture Energy consumption High performance computing Systems design Microprocessors sug: subj: Computer architecture Energy consumption High performance computing Systems design Microprocessors ab: The article focuses on computer low-power architectures and design processes for efficient application in the extreme scale. The Green Flash design reportedly shows how successful design processes can be applied to scientific computing and how the growth of on-chip-parallelism can be managed. It is stated that the adoption of a processor, in which features can be added or removed, can allow designers to define application-specific extensions to the embedded architecture of computers. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2009 holdings: @attributes: islocal: N |
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