Idle energy minimization by mode sequence optimization

Authors:
Jinfeng Liu;Pai H. Chou
Affiliations:
Synopsys, Inc., USA;University of California, Irvine, CA, USA and National Tsing Hua University, Taiwan
Venue:
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Year:
2007

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Abstract

This article presents techniques for reducing idle energy by mode-sequence optimization (MSO) under timing constraints. Our component-level CoMSO algorithm computes energy-optimal mode-transition sequences for different lengths of idle intervals. Our system-level SyMSO algorithm shifts tasks within slack intervals while satisfying all timing and resource constraints in the given schedule. Experimental results on a commercial software-defined radio show that these new techniques can reduce idle energy by 50--70%, or 30--50% of total system energy over previous offline-optimal but unsequenced techniques based on localized break-even-time analysis, thanks to rich options offered by mode sequencing.