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Approaching the Maximum Energy Saving on Embedded Systems with Multiple Voltages

dc.contributor.authorHua, Shaoxiong
dc.contributor.authorQu, Gang
dc.identifier.citationS. Hua and G. Qu. "Approaching the Maximum Energy Saving on Embedded Systems with Multiply Voltages," IEEE/ACM International Conference on Computer Aided Design (ICCAD'03), pp. 26-29, November 2003.en
dc.description.abstractDynamic voltage scaling (DVS) is arguably the most effective energy reduction technique. The multiple-voltage DVS systems, which can operate only at pre-determined discrete voltages, are practical and have been well studied. However, one important unsolved problem is how many levels and at which values should voltages be implemented on a multiple-voltage DVS system to achieve the maximum energy saving. We refer this as the voltage set-up problem. In this paper, (1) we derive analytical solutions for dual-voltage system. (2) For the general case that does not have analytic solutions, we develop efficient numerical methods. (3) We demonstrate how to apply the proposed algorithms on system design. (4) Interestingly, the experimental results suggest that the multiple-voltage DVS system, when the voltages are set up properly, can reach DVS technique’s full potential in energy saving. Specifically, on the design of an ad hoc application specific system and the design of the MPEG video encoder, we find that the best single-voltage systems consume 150% and 20% more energy than the tight theoretical lower bounds, respectively. However, our approach gives dual-, 3-, and 4-voltage DVS system settings that are only 17.6%, 4.9%, and 2.6% for the ad hoc system, and 4.0%, 1.1%, and 0.2% for the MPEG video encoder, over the same lower bounds.en
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dc.subjectDynamic voltage scaling (DVS)en
dc.subjectenergy reductionen
dc.titleApproaching the Maximum Energy Saving on Embedded Systems with Multiple Voltagesen
dc.relation.isAvailableAtA. James Clark School of Engineeringen_us
dc.relation.isAvailableAtElectrical & Computer Engineeringen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.rights.licenseCopyright 2003 IEEE. Reprinted from IEEE/ACM International Conference on Computer Aided Design. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Maryland's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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