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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | López, B. Valverde, J. de la Torre, E. Riesgo, T. |
| Copyright Year | 2014 |
| Description | Author affiliation: Center of Ind. Electron., Univ. Politec. de Madrid, Madrid, Spain (López, B.; Valverde, J.; de la Torre, E.; Riesgo, T.) |
| Abstract | Dynamic and Partial Reconfiguration (DPR) allows a system to be able to modify certain parts of itself during run-time. This feature gives rise to the capability of evolution: changing parts of the configuration according to the online evaluation of performance or other parameters. The evolution is achieved through a bio-inspired model in which the features of the system are identified as genes. The objective of the evolution may not be a single one; in this work, power consumption is taken into consideration, together with the quality of filtering, as the measure of performance, of a noisy image. Pareto optimality is applied to the evolutionary process, in order to find a representative set of optimal solutions as for performance and power consumption. The main contributions of this paper are: implementing an evolvable system on a low-power Spartan-6 FPGA included in a Wireless Sensor Network node and, by enabling the availability of a real measure of power consumption at run-time, achieving the capability of multi-objective evolution, that yields different optimal configurations, among which the selected one will depend on the relative “weights” of performance and power consumption. |
| Sponsorship | Soc. Adapt. Evolvable Hardw. Syst. (ADEVO) |
| Starting Page | 61 |
| Ending Page | 68 |
| File Size | 519865 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479953561 |
| DOI | 10.1109/AHS.2014.6880159 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-14 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power demand Field programmable gate arrays Power measurement Hardware Filtering Arrays Random access memory Wireless Sensor Networks evolvable hardware dynamic and partial reconfiguration power-aware multi-objective evolution FPGAs |
| Content Type | Text |
| Resource Type | Article |
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