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Ahmad, W. and Yildiz, B.M. and Rensink, A. and Stoelinga, M.I.A. (2017) A Model-Driven Framework for Hardware-Software Co-design of Dataflow Applications. In: Proceedings of the 6th International Workshop on Design, Modeling and Evaluation of Cyber Physical Systems, CyPhy 2016. Revised Selected Papers., 06 Oct 2016, Pittsburgh, PA, USA. pp. 1-16. Lecture Notes in Computer Science 10107. Springer Verlag. ISSN 0302-9743 ISBN 978-3-319-51737-7
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Official URL: http://dx.doi.org/10.1007/978-3-319-51738-4_1
Hardware-software (HW-SW) co-design allows to meet system-level objectives by exploiting the synergy of hardware and software. Current tools and approaches for HW-SW co-design face difficulties coping with the increasing complexity of modern-day application due to, e.g., concurrency and energy constraints. Therefore, an automated modeling approach is needed which satisfies modularity, extensibility and interoperability requirements. Model-Driven Engineering (MDE) is a prominent paradigm that, by treating models as first-class citizens, helps to fulfill these requirements. This paper presents a state-of-the-art MDE-based framework for HW-SW co-design of dataflow applications, based on synchronous dataflow (SDF) graph formalism. In the framework, we introduce a reusable set of three coherent metamodels for creating HW-SW co-design models concerning SDF graphs, hardware platforms and allocation of SDF tasks to hardware. The framework also contains model transformations that cast these models into priced timed-automata models, the input language of the well-known model checker Uppaal Cora. We demonstrate how our framework satisfies the requirements of modularity, extensibility and interoperability in an industrial case study.
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