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Peak Power Minimization through Power Management Scheduling

Authors: Shih-Hsu Huang; Chun-Hua Cheng; Chung-Hsin Chiang; Chia-Ming Chang 0002;

Peak Power Minimization through Power Management Scheduling

Abstract

As the design complexity continues to increase, huge peak power may lead to logic errors due to voltage drops or reliability problems due to electromigration. A widely used power management technique is to shut down unused operations. However, to enable the power management of an operation, the corresponding control operations must be scheduled before this operation. In this paper, we present an ILP (integer linear programming) formulation to model the simultaneous application of operation scheduling and power management for peak power minimization. Benchmark data show that our approach achieves the minimum peak power within an acceptable run time.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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