Langdon, WB;
Petke, J;
Bruce, BR;
(2016)
Optimising quantisation noise in energy measurement.
In: Handl, J and Hart, E and Lewis, PR and López-Ibáñez, M and Ochoa, G and Paechter, B, (eds.)
Parallel Problem Solving from Nature – PPSN XIV 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings.
(pp. pp. 249-259).
Springer International Publishing
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Abstract
We give a model of parallel distributed genetic improvement. With modern low cost power monitors; high speed Ethernet LAN latency and network jitter have little effect. The model calculates a minimum usable mutation effect based on the analogue to digital converter (ADC)’s resolution and shows the optimal test duration is inversely proportional to smallest impact we wish to detect. Using the example of a 1 kHz 12 bit 0.4095 Amp ADC optimising software energy consumption we find: it will be difficult to detect mutations which an average effect less than 58 μA, and typically experiments should last well under a second.
| Type: | Proceedings paper |
|---|---|
| Title: | Optimising quantisation noise in energy measurement |
| Event: | PPSN XIV: 14th International Conference, 17-21 September 2016, Edinburgh, UK |
| ISBN-13: | 9783319458229 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-45823-6_23 |
| Publisher version: | http://dx.doi.org/10.1007/978-3-319-45823-6_23 |
| Language: | English |
| Additional information: | Copyright © Springer International Publishing AG 2016. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-45823-6_23. |
| Keywords: | Theory; Genetic improvement; Genetic programming; Software engineering; SBSE; Parallel EC; Distributed power monitoring |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1520009 |
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