HiLITE: Hi erarchical and L ightweight I mita t ion L e arning for Power Management of Embedded SoCs

IEEE Computer Architecture Letters(2020)

Cited 8|Views15
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Abstract
Modern systems-on-chip (SoCs) use dynamic power management (DPM) techniques to improve energy efficiency. However, existing techniques are unable to efficiently adapt the runtime decisions considering multiple objectives (e.g., energy and real-time requirements) simultaneously on heterogeneous platforms. To address this need, we propose HiLITE, a hierarchical imitation learning framework that maxi...
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Key words
embedded systems,energy conservation,learning (artificial intelligence),power aware computing,regression analysis,system-on-chip
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