DocumentCode
3478490
Title
A Case Study on SDF-Based Code Generation for ECU Software Development
Author
Li, Guangxin ; Zhou, Rong ; Li, Rongqing ; He, Weimin ; Lv, Guilin ; Koo, T. John
Author_Institution
Center for Embedded Software Syst., Chinese Acad. of Sci., Shenzhen, China
fYear
2011
fDate
18-22 July 2011
Firstpage
211
Lastpage
217
Abstract
Model-Based Design has been used in the industry for the design of embedded systems and various code generators have been developed. Synchronous Dataflow (SDF) is a Model of Computation (MoC) commonly used for modeling signal processing and control systems. In an SDF model, through model analyzing and calculation in the compiling stage, the execution order of components is determined statically with advantages in overhead, memory usage and deadlock avoidance. An Electronic Control Unit (ECU) for vehicle climate control is used in this case study. The ECU model in Simulink is imported as a model in MoDAL with SDF defined as the MoC, and the model is then interpreted to a MoML file for Ptolemy II to perform code generation. The case study shows the potential of SDF-based code generation to be used in the development process of embedded systems.
Keywords
automobile industry; automotive electronics; control engineering computing; data flow computing; embedded systems; program compilers; software engineering; temperature control; MoDAL; MoML file; Ptolemy II; Simulink; code generation; code generator; compiling stage; control system and; deadlock avoidance; electronic control unit software development; embedded system design; memory usage; model of computation; model-based design; signal processing modeling; synchronous dataflow; vehicle climate control; Computational modeling; Heat engines; Heating; Mathematical model; Meteorology; Schedules; Code Generation; Electronic Control Unit; Embedded Systems; Synchronous Dataflow;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference Workshops (COMPSACW), 2011 IEEE 35th Annual
Conference_Location
Munich
Print_ISBN
978-1-4577-0980-7
Electronic_ISBN
978-0-7695-4459-5
Type
conf
DOI
10.1109/COMPSACW.2011.45
Filename
6032240
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