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Analyzing SystemC Designs: SystemC Analysis Approaches for Varying Applications

German Research Center for Artificial Intelligence DFKI, Research Department for Cyber-Physical Systems, Bibliothekstr. 1, Bremen D-28359, Germany
University of Bremen, Group of Computer Architecture, Bibliothekstr. 1, Bremen D-28359, Germany
Author to whom correspondence should be addressed.
Academic Editor: Albert M. K. Cheng
Sensors 2015, 15(5), 10399-10421;
Received: 30 December 2014 / Revised: 17 April 2015 / Accepted: 22 April 2015 / Published: 4 May 2015
(This article belongs to the Special Issue Cyber-Physical Systems)
PDF [280 KB, uploaded 4 May 2015]


The complexity of hardware designs is still increasing according to Moore’s law. With embedded systems being more and more intertwined and working together not only with each other, but also with their environments as cyber physical systems (CPSs), more streamlined development workflows are employed to handle the increasing complexity during a system’s design phase. SystemC is a C++ library for the design of hardware/software systems, enabling the designer to quickly prototype, e.g., a distributed CPS without having to decide about particular implementation details (such as whether to implement a feature in hardware or in software) early in the design process. Thereby, this approach reduces the initial implementation’s complexity by offering an abstract layer with which to build a working prototype. However, as SystemC is based on C++, analyzing designs becomes a difficult task due to the complex language features that are available to the designer. Several fundamentally different approaches for analyzing SystemC designs have been suggested. This work illustrates several different SystemC analysis approaches, including their specific advantages and shortcomings, allowing designers to pick the right tools to assist them with a specific problem during the design of a system using SystemC. View Full-Text
Keywords: SystemC; ESL; analysis; machine learning; parsers; AOP; hardware/software co-design SystemC; ESL; analysis; machine learning; parsers; AOP; hardware/software co-design
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Stoppe, J.; Drechsler, R. Analyzing SystemC Designs: SystemC Analysis Approaches for Varying Applications. Sensors 2015, 15, 10399-10421.

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