Analyzing SystemC Designs: SystemC Analysis Approaches for Varying Applications

Sensors

Jannis Stoppe¹  Rolf Drechsler¹ 

[1]German Research Center for Artificial Intelligence DFKI, Research Department for Cyber-Physical Systems, Bibliothekstr. 1, Bremen D-28359, Germany

关键词: SystemC;    ESL;    analysis;    machine learning;    parsers;    AOP;    hardware/software co-design;   

DOI  :  10.3390/s150510399

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.