Application-Level Energy Awareness for OpenMP

  • Ferdinando Alessi
  • Peter Thoman
  • Giorgis Georgakoudis
  • Thomas Fahringer
  • Dimitrios S. Nikolopoulos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9342)

Abstract

Power, and consequently energy, has recently attained first-class system resource status, on par with conventional metrics such as CPU time. To reduce energy consumption, many hardware- and OS-level solutions have been investigated. However, application-level information - which can provide the system with valuable insights unattainable otherwise - was only considered in a handful of cases. We introduce OpenMPE, an extension to OpenMP designed for power management. OpenMP is the de-facto standard for programming parallel shared memory systems, but does not yet provide any support for power control. Our extension exposes (i) per-region multi-objective optimization hints and (ii) application-level adaptation parameters, in order to create energy-saving opportunities for the whole system stack. We have implemented OpenMPE support in a compiler and runtime system, and empirically evaluated its performance on two architectures, mobile and desktop. Our results demonstrate the effectiveness of OpenMPE with geometric mean energy savings across 9 use cases of 15 % while maintaining full quality of service.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ferdinando Alessi
    • 1
  • Peter Thoman
    • 1
  • Giorgis Georgakoudis
    • 2
  • Thomas Fahringer
    • 1
  • Dimitrios S. Nikolopoulos
    • 2
  1. 1.University of InnsbruckInnsbruckAustria
  2. 2.Queen’s University of BelfastBelfastUK

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