NDLI: Approaching the Maximum Energy Saving on Embedded Systems with Multiple Voltages

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Passive Synthesis of Compact Frequency-Dependent Interconnect Models via Quadrature Spectral Rules

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Formal Methods for Dynamic Power Management

Large-Scale Circuit Placement: Gap and Promise

Multi-Million Gate FPGA Physical Design Challenges

Statistical Timing Analysis for Intra-Die Process Variations with Spatial Correlations

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Statistical Clock Skew Analysis Considering Intra-Die Process Variations

Approaching the Maximum Energy Saving on Embedded Systems with Multiple Voltages

Content Provider	ACM Digital Library
Author	Qu, Gang Hua, Shaoxiong
Abstract	Dynamic voltage scaling (DVS) is arguably the most effectiveenergy reduction technique. The multiple-voltage DVS systems,which can operate only at pre-determined discrete voltages, arepractical and have been well studied. However, one importantunsolved problem is how many levels and at which values shouldvoltages be implemented on a multiple-voltage DVS system toachieve the maximum energy saving. We refer this as the voltageset-up problem. In this paper, (1) we derive analytical solutionsfor dual-voltage system. (2) For the general case that does nothave analytic solutions, we develop efficient numerical methods.(3) We demonstrate how to apply the proposed algorithms onsystem design. (4) Interestingly, the experimental results suggestthat the multiple-voltage DVS system, when the voltages are setup properly, can reach DVS techniqueýs full potential in energysaving. Specifically, on the design of an ad hoc application-specificsystem and the design of the MPEG video encoder, wefind 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 systemsettings that are only 17.6%, 4.9%, and 2.6% for the ad hocsystem, and 4.0%, 1.1%, and 0.2% for the MPEG video encoder,over the same lower bounds.
File Format	PDF
ISBN	1581137621
ISSN	10923152
DOI	10.1109/ICCAD.2003.34
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-11-09
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software Computer Science Applications

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