Thermal safe power: Efficient thermal-aware power budgeting for manycore systems in dark silicon

Santiago Pagani, Heba Khdr, Jian Jia Chen, Muhammad Shafique, Minming Li, Jörg Henkel

Research output: Chapter in Book/Report/Conference proceedingChapter


Chip manufacturers commonly provide the Thermal Design Power (TDP) for a specific chip. The cooling solution is generally designed to dissipate this power level. But because TDP is not necessarily the maximum power that can be applied, in order to avoid the chip from possible overheating, chips are operated with Dynamic Thermal Management (DTM) techniques. To avoid excessive triggers of DTM, usually, system designers also use TDP as power constraint. However, using a single and constant value as power constraint, e.g., TDP, can result in significant performance losses in homogeneous and heterogeneous manycore systems. Having better power budgeting techniques is a major step towards dealing with the dark silicon problem. In this chapter, we present a power budget concept called Thermal Safe Power (TSP), which is an abstraction that provides safe power and power density constraints as a function of the number of simultaneously active cores. Executing cores at any power consumption below TSP ensures that DTM is not triggered. TSP can be computed offline for the worst cases, or online for a particular mapping of cores. TSP can also serve as a fundamental tool for guiding task partitioning and core mapping decisions, specially when core heterogeneity or timing guarantees are involved. Moreover, TSP results in dark silicon estimations which are less pessimistic than estimations using constant power budgets.

Original languageEnglish (US)
Title of host publicationThe Dark Side of Silicon
Subtitle of host publicationEnergy Efficient Computing in the Dark Silicon Era
PublisherSpringer International Publishing
Number of pages34
ISBN (Electronic)9783319315966
ISBN (Print)9783319315942
StatePublished - Jan 1 2017

ASJC Scopus subject areas

  • General Engineering
  • General Computer Science


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