Using Performance-Power Modeling to Improve Energy Efficiency of HPC Applications.
Energy-efficient scientific applications require insight into how high-performance computing system features impact the applications' power and performance. This insight results from the development of performance and power models. When used with an earthquake simulation and an aerospace application...
| Published in: | Computer (00189162) Vol. 49; no. 10; pp. 20 - 30 |
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| Main Authors: | , , , |
| Format: | Article |
| Published: |
IEEE
Oct2016
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=119013847&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 119013847 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: 119013847 10.1109/MC.2016.311 ppf: 20 ppct: 10 formats: tig: atl: Using Performance-Power Modeling to Improve Energy Efficiency of HPC Applications. aug: au: Wu, Xingfu Taylor, Valerie Cook, Jeanine Mucci, Philip J. affil: Texas A&M University Sandia National Laboratories Minimal Metrics, LLC su: Computer systems Computer performance Computer simulation Aerospace computing Energy consumption sug: subj: Computer systems Computer performance Computer simulation Aerospace computing Energy consumption keyword: Computational modeling Energy efficiency Energy management energy optimization energy-efficient computing high-performance computing HPC systems Mathematical model performance counters Performance evaluation performance modeling Power demand power modeling Power system modeling Radiation detectors Runtime ab: Energy-efficient scientific applications require insight into how high-performance computing system features impact the applications' power and performance. This insight results from the development of performance and power models. When used with an earthquake simulation and an aerospace application, a proposed modeling framework reduces energy consumption by up to 48.65 percent and 30.67 percent, respectively. 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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