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• W2885460711 abstract "This work describes the motivation and methodology of a first-of-its-kind global survey of HPC centers actively employing Energy and Power Aware Scheduling and Resource Management solutions for their production systems. The Energy-Efficient High-Performance-Computing Working-Group (EE HPC WG) Energy and Power Aware Job Scheduling and Resource Management (EPA JSRM) team conducted comprehensive interviews over the course of 2016 and 2017. In this work, we present the selection of participating sites, the motivation behind the survey, a detailed description of the questionnaire, and illustrate why getting a global view of the ongoing efforts is a major step towards more efficient systems. Job Scheduling and Resource Management is being tackled using new approaches regarding Power and Energy and has important implications for achievable center strategies. With this survey, we are laying foundations necessary to give insights in how problems and respective solutions are approached across sites and centers to allow to identify differences, similarities, solutions, and possible technology transfer across sites and centers. Upcoming work will focus on the survey responses and the analysis thereof. At the point of writing, the EPA JSRM team is in the major analysis phase of the centers' responses. By splitting the work in this fashion we achieve increased clarity in presentation and have the opportunity to generate more detailed analysis in benevolence of the community and reader." @default.
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• W2885460711 date "2018-05-01" @default.
• W2885460711 modified "2023-09-27" @default.
• W2885460711 title "Energy and Power Aware Job Scheduling and Resource Management: Global Survey — Initial Analysis" @default.
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• W2885460711 doi "https://doi.org/10.1109/ipdpsw.2018.00111" @default.
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