An Optimized Nature-Inspired Metaheuristic Algorithm for Application Mapping in 2D-NoC
An Optimized Nature-Inspired Metaheuristic Algorithm for Application Mapping in 2D-NoC
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
Mapping application task graphs on intellectual property (IP) cores into network-on-chip (NoC) is a non-deterministic polynomial-time hard problem. The evolution of network performance mainly depends on an effective and efficient mapping technique and the optimization of performance and cost metrics. These metrics mainly include power, reliability,...
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An Optimized Nature-Inspired Metaheuristic Algorithm for Application Mapping in 2D-NoC
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TN_cdi_doaj_primary_oai_doaj_org_article_d003a57d2ebd4026b82157637cc0ac14
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d003a57d2ebd4026b82157637cc0ac14
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21155102
