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Authors: Andrea Enrici 1 ; Julien Lallet 1 ; Imran Latif 1 ; Ludovic Apvrille 2 ; Renaud Pacalet 2 and Adrien Canuel 2

Affiliations: 1 Nokia Bell Labs, France ; 2 LTCI, Télécom ParisTech and Université Paris-Saclay, France

ISBN: 978-989-758-283-7

Keyword(s): Domain-specific Modeling, Model Transformation, Model-driven Architecture.

Related Ontology Subjects/Areas/Topics: Domain-Specific Modeling and Domain-Specific Languages ; Languages, Tools and Architectures ; Model Transformation ; Model-Driven Architecture ; Model-Driven Software Development ; Models ; Paradigm Trends ; Software Engineering

Abstract: To meet the computational and flexibility requirements of future 5G networks, the signal-processing functions of baseband stations and user equipments will be accelerated onto programmable, configurable and hard-wired components (e.g., CPUs, FPGAs, hardware accelerators). Such mixed architectures urge the need to automatically generate efficient implementations from high-level models. Existing model-based approaches can generate executable implementations of Systems-on-Chip (SoCs) by translating models into multiple SoC-programming languages (e.g., C/C++, OpenCL, Verilog/VHDL). However, these translations do not typically consider the optimization of non-functional properties (e.g., memory footprint, scheduling). This paper proposes a novel approach where system-level models are optimized and compiled into multiple implementations for different SoC architectures. We show the effectiveness of our approach with the compilation of UML/SysML models of a 5G decoder. Our solution generates 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, we achieve a memory footprint reduction of 80.07% in the first case and 88.93% in the second case. (More)

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Paper citation in several formats:
Enrici, A.; Lallet, J.; Latif, I.; Apvrille, L.; Pacalet, R. and Canuel, A. (2018). A Model Compilation Approach for Optimized Implementations of Signal-processing Systems.In Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-283-7, pages 25-35. DOI: 10.5220/0006534800250035

@conference{modelsward18,
author={Andrea Enrici. and Julien Lallet. and Imran Latif. and Ludovic Apvrille. and Renaud Pacalet. and Adrien Canuel.},
title={A Model Compilation Approach for Optimized Implementations of Signal-processing Systems},
booktitle={Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2018},
pages={25-35},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006534800250035},
isbn={978-989-758-283-7},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - A Model Compilation Approach for Optimized Implementations of Signal-processing Systems
SN - 978-989-758-283-7
AU - Enrici, A.
AU - Lallet, J.
AU - Latif, I.
AU - Apvrille, L.
AU - Pacalet, R.
AU - Canuel, A.
PY - 2018
SP - 25
EP - 35
DO - 10.5220/0006534800250035

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