Power optimization for multimedia transcoding on multicore servers

Authors:
Jilong Kuang;Danhua Guo;Laxmi Bhuyan
Affiliations:
Unviersity of California, Riverside, CA;Unviersity of California, Riverside, CA;Unviersity of California, Riverside, CA
Venue:
Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
Year:
2010

Citing 3
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Abstract

We design, implement and evaluate a power-efficient and traffic-aware transcoding system on multicore servers that appropriately adjusts the processor operating level. The system is capable of configuring the number of active cores and core frequency "on-the-fly" according to the varying traffic rate. Results on an AMD machine show that our system saves 51.0% power consumption compared to a native system without power-saving schemes. It also outperforms three other power-aware systems, CG [2] (clock gating), C-DVFS [3] (chip-wide DVFS) and Hybrid [1] (chip-wide DVFS + power-gating), by 19.5%, 10.5% and 5.5% reduction of power consumption, respectively.