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An extended model for multi-criteria software component allocation on a heterogeneous embedded platform
University of Zagreb, Croatia.
Mälardalen University, School of Innovation, Design and Engineering. Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5278-755X
University of Zagreb, Croatia.
2013 (English)In: Journal of Computing and Information Technology, ISSN 1330-1136, Vol. 21, no 4, 211-222 p.Article in journal (Refereed) Published
Abstract [en]

A recent development of heterogeneous platforms (i.e. those containing different types of computational units such as multicore CPUs, GPUs, and FPGAs) has enabled significant improvements in performance for real-time data processing. This potential, however, is still not fully utilized due to the lack of methods for optimal configuration of software; the allocation of different software components to different computational unit types is crucial for getting the maximal utilization of the platform, but for more complex systems it is difficult to find ad-hoc a good enough or the best configuration. With respect to system and user defined constraints, in this paper we are applying analytical hierarchical process and a genetic algorithm to find feasible, locally optimal solution for allocating software components to computational units.

Place, publisher, year, edition, pages
2013. Vol. 21, no 4, 211-222 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-24539DOI: 10.2498/cit.1002284Scopus ID: 2-s2.0-84893464584OAI: oai:DiVA.org:mdh-24539DiVA: diva2:698597
Available from: 2014-02-24 Created: 2014-02-24 Last updated: 2014-06-05Bibliographically approved

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