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Myths in power estimation with Performance Monitoring Counters.

, , , and . Sustain. Comput. Informatics Syst., 4 (2): 83-93 (2014)

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Manila: Using a Densely Populated PMC-Space for Power Modelling within Large-Scale Systems., , and . ICPP Workshops, page 210-219. IEEE Computer Society, (2016)Myths in power estimation with Performance Monitoring Counters., , , and . Sustain. Comput. Informatics Syst., 4 (2): 83-93 (2014)PMC-Based Power Modelling with Workload Classification on Multicore Systems., , , and . ICPP Workshops, page 129-138. IEEE Computer Society, (2014)Metrics and task scheduling policies for energy saving in multicore computers., , and . GRID, page 266-273. IEEE Computer Society, (2010)T3-Scheduler: A topology and Traffic aware two-level Scheduler for stream processing systems in a heterogeneous cluster., , , and . Future Gener. Comput. Syst., (2018)Iterative Scheduling for Distributed Stream Processing Systems., , , and . DEBS, page 234-237. ACM, (2018)A Topology and Traffic Aware Two-Level Scheduler for Stream Processing Systems in a Heterogeneous Cluster., , , and . Euro-Par Workshops, volume 10659 of Lecture Notes in Computer Science, page 68-79. Springer, (2017)Myths in PMC-Based Power Estimation., , , and . EE-LSDS, volume 8046 of Lecture Notes in Computer Science, page 35-50. Springer, (2013)Manila: Using a densely populated PMC-space for power modelling within large-scale systems., , and . Parallel Comput., (2019)I-Scheduler: Iterative scheduling for distributed stream processing systems., , , and . Future Gener. Comput. Syst., (2021)