Computer Science - Research and Development

, Volume 30, Issue 2, pp 197–206

On the potential of significance-driven execution for energy-aware HPC

  • Philipp Gschwandtner
  • Charalampos Chalios
  • Dimitrios S. Nikolopoulos
  • Hans Vandierendonck
  • Thomas Fahringer
Special Issue Paper

DOI: 10.1007/s00450-014-0265-9

Cite this article as:
Gschwandtner, P., Chalios, C., Nikolopoulos, D.S. et al. Comput Sci Res Dev (2015) 30: 197. doi:10.1007/s00450-014-0265-9

Abstract

Dynamic voltage and frequency scaling (DVFS) exhibits fundamental limitations as a method to reduce energy consumption in computing systems. In the HPC domain, where performance is of highest priority and codes are heavily optimized to minimize idle time, DVFS has limited opportunity to achieve substantial energy savings. This paper explores if operating processors near the transistor threshold voltage (NTV) is a better alternative to DVFS for breaking the power wall in HPC. NTV presents challenges, since it compromises both performance and reliability to reduce power consumption. We present a first of its kind study of a significance-driven execution paradigm that selectively uses NTV and algorithmic error tolerance to reduce energy consumption in performance-constrained HPC environments. Using an iterative algorithm as a use case, we present an adaptive execution scheme that switches between near-threshold execution on many cores and above-threshold execution on one core, as the computational significance of iterations in the algorithm evolves over time. Using this scheme on state-of-the-art hardware, we demonstrate energy savings ranging between 35 and 67 %, while compromising neither correctness nor performance.

Keywords

Significance Energy Unreliability  Near-threshold voltage Fault tolerance 

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Philipp Gschwandtner
    • 1
  • Charalampos Chalios
    • 2
  • Dimitrios S. Nikolopoulos
    • 2
  • Hans Vandierendonck
    • 2
  • Thomas Fahringer
    • 1
  1. 1.Innsbruck Austria
  2. 2.Belfast UK

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