Standardizing Power Monitoring and Control at Exascale.
Power API--the result of collaboration among national laboratories, universities, and major vendors--provides a range of standardized power management functions, from application-level control and measurement to facility-level accounting, including real-time and historical statistics gathering. Supp...
| Publicado en: | Computer (00189162) Vol. 49; no. 10; pp. 38 - 47 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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IEEE
Oct2016
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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=119013828&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 119013828 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Oct2016 vid: 49 iid: 10 pid: 13605 pub: IEEE artinfo: ui: 119013828 10.1109/MC.2016.308 ppf: 38 ppct: 9 formats: tig: atl: Standardizing Power Monitoring and Control at Exascale. aug: au: Grant, Ryan E. Levenhagen, Michael Olivier, Stephen L. DeBonis, David Pedretti, Kevin T. Laros III, James H. affil: Sandia National Laboratories su: Central processing units Computer systems Electric power management Intel microprocessors AMD microprocessors sug: subj: Central processing units Computer systems Electric power management Intel microprocessors AMD microprocessors keyword: control interfaces Energy efficiency Energy management energy-efficient computing Exascale computing Frequency measurement high-performance computing Monitoring Power aware computing power management Power measurement power monitoring Power system management Power system measurement power-aware computing ab: Power API--the result of collaboration among national laboratories, universities, and major vendors--provides a range of standardized power management functions, from application-level control and measurement to facility-level accounting, including real-time and historical statistics gathering. Support is already available for Intel and AMD CPUs and standalone measurement devices. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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