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Quasi-Static Voltage Scaling for Energy Minimization with Time Constraints
Supply voltage scaling and adaptive body-biasing are important techniques that help to reduce the energy dissipation of embedded systems. This is achieved by dynamically adjusting the voltage and performance settings according to the application needs. In order to take full advantage of slack that a...
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Main Authors: | , , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: |
Computing methodologies
> Modeling and simulation
> Model development and analysis
> Modeling methodologies
Theory of computation
> Design and analysis of algorithms
> Online algorithms
> Online learning algorithms
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Online Access: | Request full text |
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Summary: | Supply voltage scaling and adaptive body-biasing are important techniques that help to reduce the energy dissipation of embedded systems. This is achieved by dynamically adjusting the voltage and performance settings according to the application needs. In order to take full advantage of slack that arises from variations in the execution time, it is important to recalculate the voltage (performance) settings during run-time, i.e., online. However, voltage scaling (VS) is computationally expensive, and thus significantly hampers the possible energy savings. To overcome the online complexity, we propose a quasi-static voltage scaling scheme, with a constant online time complexity O(1). This allows to increase the exploitable slack as well as to avoid the energy dissipated due to online recalculation of the voltage settings. We conduct several experiments that demonstrate the advantages of the proposed technique over the previously published voltage scaling approaches. |
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ISSN: | 1530-1591 1558-1101 |
DOI: | 10.1109/DATE.2005.250 |