STEAM: A smart temperature and energy aware multicore controller

Vinay Hanumaiah, Digant Desai, Benjamin Gaudette, Carole-Jean Wu, Sarma Vrudhula

Research output: Contribution to journalArticle

21 Scopus citations

Abstract

Recent empirical studies have shown thatmulticore scaling is fast becoming power limited, and consequently, an increasing fraction of a multicore processor has to be under clocked or powered off. Therefore, in addition to fundamental innovations in architecture, compilers and parallelization of application programs, there is a need to develop practical and effective dynamic energy management (DEM) techniques for multicore processors. ExistingDEMtechniques mainly target reducing processor power consumption and temperature, and only few of them have addressed improving energy efficiency for multicore systems.With energy efficiency taking a center stage in all aspects of computing, the focus of the DEM needs to be on finding practical methods to maximize processor efficiency. Towards this, this article presents STEAM - an optimal closed-loop DEM controller designed for multicore processors. The objective is to maximize energy efficiency by dynamic voltage and frequency scaling (DVFS). Energy efficiency is defined as the ratio of performance to power consumption or performance-per-watt (PPW). This is the same as the number of instructions executed per Joule. The PPW metric is actually replaced by PαPW (performanceα-per-Watt), which allows for controlling the importance of performance versus power consumption by varying α. The proposed controller was implemented on a Linux system and tested with the Intel Sandy Bridge processor. There are three power management schemes called governors, available with Intel platforms. They are referred to as (1) Powersave (lowest power consumption), (2) Performance (achieves highest performance), and (3) Ondemand. Our simple and lightweight controller when executing SPEC CPU2006, PARSEC, and MiBench benchmarks have achieved an average of 18% improvement in energy efficiency (MIPS/Watt) over these ACPI policies. Moreover, STEAM also demonstrated an excellent prediction of core temperatures and power consumption, and the ability to control the core temperatures wihin 3°C of the specified maximum. Finally, the overhead of the STEAM implementation (in terms of CPU resources) is less than 0.25%. The entire implementation is self-contained and can be installed on any processor with very little prior knowledge of the processor.

Original languageEnglish (US)
Article number151
JournalACM Transactions on Embedded Computing Systems
Volume13
DOIs
StatePublished - Oct 6 2014

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Keywords

  • Closed-loop controller
  • Dynamic energy management
  • Dynamic thermal management
  • Dynamic voltage and frequency scaling
  • Energy efficiency
  • Kalman filter
  • Leakage power dependence on temperature
  • Least-squares estimation
  • Multicore
  • Performance optimal
  • Power and temperature modeling

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture

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