Power, Reliability, and Performance: One System to Rule them All.
In a design based on the Charm++ parallel programming framework, an adaptive runtime system dynamically interacts with a datacenter's resource manager to control power by intelligently scheduling jobs, reallocating resources, and reconfiguring hardware. It simultaneously manages reliability by cooli...
| Publicado en: | Computer (00189162) Vol. 49; no. 10; pp. 30 - 38 |
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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=119013840&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 119013840 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: 119013840 10.1109/MC.2016.310 ppf: 30 ppct: 8 formats: tig: atl: Power, Reliability, and Performance: One System to Rule them All. aug: au: Acun, Bilge Langer, Akhil Meneses, Esteban Menon, Harshitha Sarood, Osman Totoni, Ehsan Kale, Laxmikant V. affil: University of Illinois at Urbana-Champaign Intel Costa Rica Institute of Technology and Costa Rica National High Technology Center Yelp Intel Labs su: Parallel programming Charm++ (Computer program language) Computer performance Computer reliability Computer simulation sug: subj: Parallel programming Charm++ (Computer program language) Computer performance Computer reliability Computer simulation keyword: Adaptive systems Charm++ Dynamic scheduling Energy efficiency energy-aware systems energy-efficient computing High performance computing high-performance computing HPC Load management parallel systems power management Power system management Program processors Reliability Runtime Temperature measurement temperature-aware design ab: In a design based on the Charm++ parallel programming framework, an adaptive runtime system dynamically interacts with a datacenter's resource manager to control power by intelligently scheduling jobs, reallocating resources, and reconfiguring hardware. It simultaneously manages reliability by cooling the system to the running application's optimal level and maintains performance through load balancing. 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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