A comparison between two optimisation alternatives for mapping in wireless network on chip

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dc.contributor.author Sacanamboy, Maribell
dc.contributor.author Quesada, Luis
dc.contributor.author Bolanos, Freddy
dc.contributor.author Bernal, Alvaro
dc.contributor.author O'Sullivan, Barry
dc.date.accessioned 2018-03-26T10:19:07Z
dc.date.available 2018-03-26T10:19:07Z
dc.date.issued 2016-11
dc.identifier.citation Sacanamboy, M., Quesada, L., Bolanos, F., Bernal, A. and O'Sullivan, B. (2016) 'A comparison between two optimisation alternatives for mapping in wireless network on chip', 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), San Jose, CA, USA, 6-8 November. doi:10.1109/ICTAI.2016.142 en
dc.identifier.startpage 938 en
dc.identifier.endpage 945 en
dc.identifier.uri http://hdl.handle.net/10468/5690
dc.identifier.doi 10.1109/ICTAI.2016.142
dc.description.abstract Network on Chip (NoC) is a well known approach that aims at improving the performance of many-core systems. The design of such systems involves the optimal mapping of tasks to nodes, and the corresponding scheduling of the tasks at every node, which results in a challenging optimisation problem considering the constraints that need to be respected. In this paper, after formalising the problem and elaborating on its complexity, we present an AI approach to solve the problem and evaluate it against a MIP approach. Our empirical evaluation shows that the AI approach is able to obtain solutions of good quality very quickly. en
dc.description.sponsorship Science Foundation Ireland (Grant No.10/CE/I1853) en
dc.description.uri http://www.ictai2016.com/ en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.ispartof 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI)
dc.rights © 2016, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Optimization en
dc.subject Mathematical model en
dc.subject Wireless communication en
dc.subject Electronic mail en
dc.subject Open area test sites en
dc.subject Scheduling en
dc.subject Complexity theory en
dc.subject Evolutionary algorithms en
dc.subject Network on Chip en
dc.subject Constraint optimisation problem en
dc.title A comparison between two optimisation alternatives for mapping in wireless network on chip en
dc.type Conference item en
dc.internal.authorcontactother Barry O'Sullivan, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: b.osullivan@cs.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2018-03-13T12:34:50Z
dc.description.version Accepted Version en
dc.internal.rssid 383545632
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation San Jose, CA, USA en
dc.internal.IRISemailaddress b.osullivan@cs.ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ en


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