Accurate yet fast modeling of real-time communication

Accurate modeling of communication is a necessary part of system level design for real-time safety-critical applications. For efficient prediction of a system's performance, Transaction Level Modeling (TLM) is often used which increases the simulation speed by orders of magnitude. The speed adv...

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Published inInternational Conference on Hardware Software Codesign: Proceedings of the 4th international conference on Hardware/software codesign and system synthesis; 22-25 Oct. 2006 pp. 70 - 75
Main Authors Schirner, Gunar, Dömer, Rainer
Format Conference Proceeding
LanguageEnglish
Published New York, NY, USA ACM 22.10.2006
IEEE
Association for Computing Machinery
SeriesACM Conferences
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Summary:Accurate modeling of communication is a necessary part of system level design for real-time safety-critical applications. For efficient prediction of a system's performance, Transaction Level Modeling (TLM) is often used which increases the simulation speed by orders of magnitude. The speed advantage, however, comes at the cost of low accuracy.In this paper, we use a novel modeling technique, called Result Oriented Modeling (ROM), which yields 100% accuracy in timing, yet approaches the same speed as traditional TLM. ROM also abstracts away internal details of the communication but, in contrast to TLM, fully maintains accurate timing. ROM optimistically predicts the timing and retroactively takes corrective measures, if necessary.In this paper, we compare the ROM technique to TLM at different levels of abstraction, using a Controller Area Network (CAN) bus example. Our results show that ROM yields a simulation speedup close to the traditional TLM, yet exhibits the same timing accuracy as a bus functional model. Thus, for safety-critical real-time applications, ROM is a viable replacement for the inaccurate TLM.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:9781595933706
1595933700
DOI:10.1145/1176254.1176273