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Model-Based Programming for Multi-Processor Platforms with TTool/DIPLODOCUS and OMC

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.
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Submitted on : Friday, September 13, 2019 - 5:38:19 PM
Last modification on : Wednesday, April 27, 2022 - 4:09:33 AM



Andrea Enrici, Julien Lallet, Renaud Pacalet, Ludovic Apvrille, Karol Desnos, et al.. Model-Based Programming for Multi-Processor Platforms with TTool/DIPLODOCUS and OMC. Communications in Computer and Information Science, Model-Driven Engineering and Software Development, Springer, pp.56_81, 2019, ⟨10.1007/978-3-030-11030-7_4⟩. ⟨hal-02288056⟩



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