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 common myths of these techniques, and their potential impact. Such myths include: (1) sampling rate can be ignored; (2) thermal effects are neutral; and (3) memory events correlate well with power. We aim to raise the awareness of these interesting issues, which existing power modeling techniques usually do not address. Our discussions provide some guidance to avoid these myths and their effects through detailed specification of software and hardware configurations.
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Notes
- 1.
Institute for Information Industry, http://web.iii.org.tw/, who we thank for providing this measurement equipment.
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This work was partially supported by the COST (European Cooperation in Science and Technology) framework, under Action IC0804.
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Mair, J., Huang, Z., Eyers, D., Zhang, H. (2013). Myths in PMC-Based Power Estimation. In: Pierson, JM., Da Costa, G., Dittmann, L. (eds) Energy Efficiency in Large Scale Distributed Systems. EE-LSDS 2013. Lecture Notes in Computer Science(), vol 8046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40517-4_3
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