SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:research.chalmers.se:4c8f27e4-2e85-455c-a808-baf7742a2ded"
 

Search: onr:"swepub:oai:research.chalmers.se:4c8f27e4-2e85-455c-a808-baf7742a2ded" > Coordinated managem...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Nejat, Mehrzad,1989Chalmers tekniska högskola,Chalmers University of Technology (author)

Coordinated management of DVFS and cache partitioning under QoS constraints to save energy in multi-core systems

  • Article/chapterEnglish2020

Publisher, publication year, extent ...

  • Elsevier BV,2020
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:research.chalmers.se:4c8f27e4-2e85-455c-a808-baf7742a2ded
  • https://research.chalmers.se/publication/517599URI
  • https://doi.org/10.1016/j.jpdc.2020.05.006DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • Reducing the energy expended to carry out a computational task is important. In this work, we explore the prospects of meeting Quality-of-Service requirements of tasks on a multi-core system while adjusting resources to expend a minimum of energy. This paper considers, for the first time, a QoS-driven coordinated resource management algorithm (RMA) that dynamically adjusts the size of the per-core last-level cache partitions and the per-core voltage–frequency settings to save energy while respecting QoS requirements of every application in multi-programmed workloads run on multi-core systems. It does so by doing configuration-space exploration across the spectrum of LLC partition sizes and Dynamic Voltage–Frequency Scaling (DVFS) settings at runtime at negligible overhead. We show that the energy of 4-core and 8-core systems can be reduced by up to 18% and 14%, respectively, compared to a baseline with even distribution of cache resources and a fixed mid-range core voltage–frequency setting. The energy savings can potentially reach 29% if the QoS targets are relaxed to 40% longer execution time.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Manivannan, Madhavan,1986Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)madhavan (author)
  • Pericas, Miquel,1979Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)miquelp (author)
  • Stenström, Per,1957Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)pers (author)
  • Chalmers tekniska högskola (creator_code:org_t)

Related titles

  • In:Journal of Parallel and Distributed Computing: Elsevier BV144, s. 246-2591096-08480743-7315

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view