Energy-Driven Statistical Sampling: Detecting Software Hotspots

  title={Energy-Driven Statistical Sampling: Detecting Software Hotspots},
  author={Fay Chang and Keith I. Farkas and Parthasarathy Ranganathan},
Energy is a critical resource in many computing systems, motivating the need for energy-efficient software design. This work proposes a new approach, energy-driven statistical sampling, to help software developers reason about the energy impact of software design decisions. We describe a prototype implementation of this approach built on the Itsy pocket computing platform. Our experimental results of 14 benchmark programs show that when multiple power states are exercised, energy-driven… CONTINUE READING
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