National Tsing Hua University Institutional Repository:Application/architecture power co-optimization for embedded systems powered by renewable sources
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    NTHUR > College of Electrical Engineering and Computer Science > Department of Computer Science > CS Conference Papers >  Application/architecture power co-optimization for embedded systems powered by renewable sources

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    Title: Application/architecture power co-optimization for embedded systems powered by renewable sources
    Authors: Li,Dexin
    Chou,Pai H.
    Date: 2005
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Keywords: Embedded systems
    Renewable energy resources
    Electric batteries
    Image compression
    Abstract: Embedded systems are being built with renewable power sources such as solar cells to replenish the energy of batteries. The renewable power sources have a wide range of efficiency levels that depend on environment parameters and the current drawn from the circuit. Unlike low-power designs whose goal is to minimize energy consumption, systems with renewable power sources should maximize the efficiency of the sources by load matching. To match the wide dynamic range of solar output, it is necessary to exploit multiple power "knobs" simultaneously. This paper combines computation vs. communication trade-offs, algorithm selection, scheduling and dynamic voltage scaling to maximize the dynamic range of the load over time. Experimental results show one to two orders of magnitude performance improvement for a wireless handheld system running image compression applications.
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    Appears in Collections:[Department of Computer Science] CS Conference Papers
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