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Application/architecture power co-optimization for embedded systems powered by renewable sources
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 42nd annual Design Automation Conference table of contents
Anaheim, California, USA
SESSION: Emerging ideas in energy management techniques table of contents
Pages: 618 - 623  
Year of Publication: 2005
ISBN:1-59593-058-2
Authors
Dexin Li  University of California, Irvine, CA
Pai H. Chou  University of California, Irvine, CA
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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