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Lookup NU author(s): Dr Ashur Rafiev,
Dr Fei Xia,
Dr Alexei Iliasov,
Professor Alexander Romanovsky,
Professor Alex Yakovlev
This is the final published version of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE Computer Society, 2017.
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© 2016 ECSI. With the increase of system complexity in both platforms and applications, power modelling of heterogeneous systems is facing grand challenges from the model scalability issue. To address these challenges, this paper studies two systematic methods: Selective abstraction and stochastic techniques. The concept of selective abstraction via black-boxing is realised using hierarchical modelling and cross-layer cuts, respecting the concepts of boxability and error contamination. The stochastic aspect is formally underpinned by Stochastic Activity Networks (SANs). The proposed method is validated with experimental results from Odroid XU3 heterogeneous 8-core platform and is demonstrated to maintain high accuracy while improving scalability.
Author(s): Rafiev A, Xia F, Iliasov A, Gensh R, Aalsaud A, Romanovsky A, Yakovlev A
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Forum on Specification and Design Languages (FDL)
Year of Conference: 2017
Online publication date: 20/03/2017
Acceptance date: 02/04/2016
Date deposited: 30/05/2017
Publisher: IEEE Computer Society
Data Source Location: http://dx.doi.org/10.17634/123238-3
Library holdings: Search Newcastle University Library for this item