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
Run-time mapping algorithm for dynamic workloads on heterogeneous MPSoCs platforms
University of Tehran, Iran.ORCID iD: 0000-0001-5951-9374
University of Tehran, Iran.
2018 (English)In: Proceedings - 21st Euromicro Conference on Digital System Design, DSD 2018, p. 373-380Article in journal (Refereed) Published
Abstract [en]

Task mapping exploration plays an important role in the high performance achieved by heterogeneous multi-processor system-on-chip (MPSoC) platforms. The dynamic of application workloads in modern MPSoC-based embedded systems are consistently growing. Nowadays, the execution of different applications is done concurrently and these applications compete for resources in such systems. This paper presents a novel run-time mapping algorithm for multimedia applications. The objective of application mapping is to minimize execution time in a predefined budget of energy consumption. This algorithm is divided to two phases: design-time and run-time. During design-time, application clustering is combined with design space exploration, then a set of rules for mapping is extracted by using Association Rule Mining techniques, and after that, during run-time, feature extraction and application classification is performed based on the rule sets. The evaluation of the proposed algorithm is done by using a heterogeneous MPSoC system with several applications that have different communication and computation behaviors. The experimental results revealed that during run-time, applications were correctly classified by the proposed algorithm and the best resources selected for mapping accurately. The results clearly showcase the proposed algorithm’s effectiveness. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018. p. 373-380
Keywords [en]
Budget control; Conformal mapping; Embedded systems; Energy utilization; Multiprocessing systems; System-on-chip; Systems analysis, Application classifications; Association mining; Design space exploration; Heterogeneous mpsoc; Multi processor system on chips; Multimedia applications; Rule mining techniques; Run-time mapping, Integrated circuit design
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-67480DOI: 10.1109/DSD.2018.00071Scopus ID: 2-s2.0-85056453754OAI: oai:DiVA.org:ri-67480DiVA, id: diva2:1802968
Available from: 2023-10-06 Created: 2023-10-06 Last updated: 2023-10-06Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Sinaei, Sima

Search in DiVA

By author/editor
Sinaei, Sima
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 10 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