Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Multi-objective power management for CMPs in the dark silicon age
Show others and affiliations
2017 (English)In: The Dark Side of Silicon: Energy Efficient Computing in the Dark Silicon Era, Springer, 2017, p. 191-216Chapter in book (Refereed)
Abstract [en]

New power management challenges in networked many-core systems arise when limitations of the dark silicon era come into reality. The main goal in the power management process is to achieve optimal power-performance efficiency considering thermal design power (TDP) budget. This necessitates: (1) monitoring several system characteristics including both communication and computation aspects, (2) categorizing, prioritizing, and processing the information in an intelligent way, and (3) controlling a rich set of actuators. More precisely, a comprehensive Observe-Decide-Act (ODA) loop based multi-objective control approach is needed, which has access to a rich set of sensors and actuators. In this chapter, we first identify a necessary set of system parameters for monitoring such as an upper limit on total power consumption, dynamic behavior of workloads, utilization of processing elements, per-core power consumption, load on network-on-chip (NoC), etc. We also discuss essential actuators needed for the power management process together with a multi-objective and dark silicon aware power management policy that is able to simultaneously consider all the mentioned parameters. As actuator, fine-grained voltage and frequency scaling is utilized, including near-threshold operation, per-core power gating, as well as scheduler-level actuation to maximize the system throughput while honoring the power budget.

Place, publisher, year, edition, pages
Springer, 2017. p. 191-216
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-214654DOI: 10.1007/978-3-319-31596-6_7Scopus ID: 2-s2.0-85028872912ISBN: 9783319315966 (print)ISBN: 9783319315942 (print)OAI: oai:DiVA.org:kth-214654DiVA, id: diva2:1142746
Note

QC 20170920

Available from: 2017-09-20 Created: 2017-09-20 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Tenhunen, Hannu
By organisation
Integrated devices and circuits
Other Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 11 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf