Fundamental limits on run-time power management algorithms for MPSoCs

Siddharth Garg, Diana Marculescu, Radu Marculescu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We consider the case of multiprocessor systems-on-chip (MPSoC) implemented using multiple voltage and frequency islands (VFIs) relying on fine-grained dynamic voltage and frequency scaling (DVFS) to reduce the system power dissipation. We present a framework to theoretically analyze the impact of three important technology driven constraints; (i) reliability-driven upper limits on the maximum supply voltage; (ii) inductive noise-driven constraints on the maximum rate of change of voltage/frequency; and (iii) the impact of manufacturing process variations on the performance of DVFS control for multiple VFI MPSoCs. The proposed analysis is general, in the sense that it is not bound to a specific DVFS control algorithm, but instead focuses on theoretically bounding the performance that any DVFS controller can possibly achieve. Our experimental results on real and synthetic benchmarks show that in the presence of reliability and temperature driven constraints on the maximum frequency and maximum frequency increment, any DVFS control algorithm will lose up to 87% performance in terms of the number of steps required to reach a reference steady state. In addition, increasing process variations can lead to up to 60% of fabricated chips being unable to meet the specified DVFS control specifications, irrespective of the DVFS algorithm used (the material in this paper is based on a prior work by the authors as described in Garg etal., ACM J Emerg Technol Comput Syst (JETC) 8(4):28, 2012; Technology-driven limits on DVFS controllability of multiple voltage-frequency island designs: A system-level perspective. In: Proceedings of the 46th IEEE/ACM design automation conference, San Francisco. Ieee, pp818–21, 2009).

Original languageEnglish (US)
Title of host publicationDesign Technologies for Green and Sustainable Computing Systems
PublisherSpringer New York
Pages1-21
Number of pages21
ISBN (Electronic)9781461449751
ISBN (Print)9781461449744
DOIs
StatePublished - Jan 1 2013

ASJC Scopus subject areas

  • Engineering(all)

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    Garg, S., Marculescu, D., & Marculescu, R. (2013). Fundamental limits on run-time power management algorithms for MPSoCs. In Design Technologies for Green and Sustainable Computing Systems (pp. 1-21). Springer New York. https://doi.org/10.1007/978-1-4614-4975-1_1