Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Exploiting choice in resizable cache design to optimize deep-submicron processor energy-delay
 
conference paper

Exploiting choice in resizable cache design to optimize deep-submicron processor energy-delay

Yang, Se-Hyun
•
Powell, Michael D.
•
Falsafi, Babak  
Show more
2002
Proceedings Eighth International Symposium on High Performance Computer Architecture

Cache memories account for a significant fraction of a chip's overall energy dissipation. Recent research advocates using "resizable" caches to exploit cache requirement variability in applications to reduce cache size and eliminate energy dissipation in the cache's unused sections with minimal impact on performance. Current proposals for resizable caches fundamentally vary in two design aspects: (1) cache organization, where one organization, referred to as selective-ways, varies the cache's set- associativity, while the other, referred to as selective-sets, varies the number of cache sets, and (2) resizing strategy, where one proposal statically sets the cache size prior to an application's execution, while the other allows for dynamic resizing both within and across applications. In this paper, we compare and contrast, for the first time, the proposed design choices for resizable caches, and evaluate the effectiveness of cache resizings in reducing the overall energy-delay in deep-submicron processors. In addition, we propose a hybrid selective-sets-and-ways cache organization that always offers equal or better resizing granularity than both of previously proposed organizations. We also investigate the energy savings from resizing d-cache and i-cache together to characterize the interaction between d- cache and i-cache resizings

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

hpca02.pdf

Access type

openaccess

Size

100.59 KB

Format

Adobe PDF

Checksum (MD5)

9f55b1da4fa3ee65511238f3c70f55f1

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés