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PowerQuest: Trace Driven Data Mining for Power Optimization
2007
2007 Design, Automation & Test in Europe Conference & Exhibition
We introduce a general framework, called PowerQuest, with the primary goal of extracting "interesting" dynamic invariants from a given simulation-trace database, and applying it to the powerreduction problem through detection of gating conditions. PowerQuest adopts machine-learning techniques for data mining. The advantages of PowerQuest in comparison with other state-ofthe-art Dynamic Power Management (DPM) techniques are: 1) Quality of ODC conditions for gating 2) Minimization of extra logic
doi:10.1109/date.2007.364437
fatcat:r7c23lungngohb5u5ond76suyi