Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10348834 | Sustainable Computing: Informatics and Systems | 2014 | 11 Pages |
Abstract
Many techniques have previously been proposed for using low-level CPU Performance Monitoring Counters in power estimation models. In this paper, we present some apparent myths regarding these techniques, and their potential impact. The underlying misconceptions include: (1) sampling rate and execution time can be left unspecified; (2) thermal effects are insubstantial; (3) memory events correlate well with power consumption; (4) compilation configuration does not need to be reported; and (5) metrics for performance evaluation of models are comparable. We aim to raise the awareness of these interesting issues, which existing power modeling techniques often do not address. Our discussions provide some guidance to avoid these myths and their effects through detailed specification of software and hardware configurations.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Jason Mair, David Eyers, Zhiyi Huang, Haibo Zhang,