https://www.mdu.se/

mdu.sePublications
Planned maintenance
A system upgrade is planned for 24/9-2024, at 12:00-14:00. During this time DiVA will be unavailable.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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 Task Mapping Approach for Wireless NoC in Dark Silicon Age
Northwestern University, Evanston, United States.
Old Dominion University, Norfolk, United States.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Royal Institute of Technology (KTH), Sweden.
Northwestern University, Evanston, United States.
2017 (English)In: Proceedings - 2017 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2017, Institute of Electrical and Electronics Engineers Inc. , 2017, p. 589-592Conference paper, Published paper (Refereed)
Abstract [en]

Hybrid Wireless Network-on-Chip (HWNoC) provides high bandwidth, low latency and flexible topology configurations, making this emerging technology a scalable communication fabric for future Many-Core System-on-Chips (MCSoCs). On the other hand, dark silicon is dominating the chip footage of upcoming MCSoCs since Dennard scaling fails due to the voltage scaling problem that results in higher power densities. Moreover, congestion avoidance and hot-spot prevention are two important challenges of HWNoC-based MCSoCs in dark silicon age, Therefore, in this paper, a novel task mapping approach for HWNoC is introduced in order to first balance the usage of wireless links by avoiding congestion over wireless routers and second spread temperature across the whole chip by utilizing dark silicon. Simulation results show significant improvement in both congestion and temperature control of the system, compared to state-of-The-Art works. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2017. p. 589-592
Series
Euromicro Conference on Parallel Distributed and Network-Based Processing, ISSN 1066-6192
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-35635DOI: 10.1109/PDP.2017.12ISI: 000403395100089Scopus ID: 2-s2.0-85019625866ISBN: 9781509060580 (print)OAI: oai:DiVA.org:mdh-35635DiVA, id: diva2:1107223
Conference
25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2017, 6 March 2017 through 8 March 2017
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-07-06Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Daneshtalab, Masoud

Search in DiVA

By author/editor
Daneshtalab, Masoud
By organisation
Embedded Systems
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 39 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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