Résumé
This paper provides both theoretical and experimental evidence for the existence of an Energy/Frequency Convexity Rule, which relates energy consumption and CPU frequency on mobile devices. We monitored a typical smartphone running a specific computing-intensive kernel of multiple nested loops written in C using a high-resolution power gauge. Data gathered during a week-long acquisition campaign suggest that energy consumed per input element is strongly correlated with CPU frequency, and, more interestingly, the curve exhibits a clear minimum over a 0.2 GHz to 1.6 GHz window. We provide and motivate an analytical model for this behavior, which fits well with the data. Our work should be of clear interest to researchers focusing on energy usage and minimization for mobile devices, and provide new insights for optimization opportunities.
| langue originale | Anglais |
|---|---|
| Pages (de - à) | 793-803 |
| Nombre de pages | 11 |
| journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 8384 LNCS |
| Numéro de publication | PART 1 |
| Les DOIs | |
| état | Publié - 1 janv. 2014 |
| Modification externe | Oui |
| Evénement | 10th International Conference on Parallel Processing and Applied Mathematics, PPAM 2013 - Warsaw, Pologne Durée: 8 sept. 2013 → 11 sept. 2013 |
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