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Error-Based Metric for Cross-Layer Cut Determination

Lookup NU author(s): Dr Ashur Rafiev, Dr Fei Xia, Dr Alexei Iliasov, Dr Rem Gensh, Ali Aalsaud, Professor Alexander RomanovskyORCiD, Professor Alex Yakovlev



This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Springer Verlag, 2018.

For re-use rights please refer to the publisher's terms and conditions.


© 2018, Springer International Publishing AG. 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 chapter 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.

Publication metadata

Author(s): Rafiev A, Xia F, Iliasov A, Gensh R, Aalsaud A, Romanovsky A, Yakovlev A

Editor(s): Franco Fummi and Robert Wille

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Languages, Design Methods, and Tools for Electronic System Design: Selected Contributions from FDL 2016

Year of Conference: 2018

Pages: 59-82

Online publication date: 11/11/2017

Acceptance date: 02/04/2016

Date deposited: 18/01/2018

ISSN: 1876-1119

Publisher: Springer Verlag


DOI: 10.1007/978-3-319-62920-9_4

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Electrical Engineering

ISBN: 9783319629209