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Communications in Computer and Information Science, Model-Driven Engineering and Software Development

Andrea Enrici, Julien Lallet, Renaud Pacalet, Ludovic Apvrille, Karol Desnos, Imran Latif
References
Springer, 2019, chap. "Model-Based Programming for Multi-Processor Platforms with TTool/DIPLODOCUS and OMC, pp. 56_81
Abstract

Abstract. The complexity of today's multi-processor architectures raises the need to increase the level of abstraction of software development paradigms above third-generation programming languages (e.g., C/C++). Code generation from model-based specifications is considered to be more efficient with respect to traditional paradigms where software is mainly developed from code. However, existing model-based approaches typically generate application software in SoC- programming languages (e.g., C/C++, OpenCL, Verilog/VHDL) without considering the optimization of non-functional properties (e.g., memory footprint, scheduling). This paper proposes a novel approach and tools where system-level models are compiled into standard C code while optimizing the systems memory footprint. We show the effectiveness of our approach with the model-based programming of UML/SysML diagrams for a 5G decoder. From the compiled C code, we generate both a software implementation for a Digital Signal Processor platform and a hardware-software implementation for a platform based on hardware Intellectual Property (IP) blocks. Overall, our optimizations achieve a memory footprint reduction of 80.07% in the first case and 88.93% in the second case.

Keywords
Model-Based Engineering, MPSoC Programming, UML/SysML
Category
Part of a book (chapters, sections, a few pages...)
Research Area(s)
Computer Science/Computation and Language
Computer Science/Software Engineering
Computer Science/Computer Aided Engineering
Computer Science/Programming Languages
Computer Science/Logic in Computer Science
Computer Science/Modeling and Simulation
Computer Science/Networking and Internet Architecture
Computer Science/Formal Languages and Automata Theory
Identifier(s)
Bibliographic key AE-CCIS-19
File(s)
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Last update
on march 06, 2019 by Ludovic Apvrille


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