Exploiting the model-driven engineering approach to improve design space exploration of embedded systems

Oliveira, Marcio F. da S.; Ferreira, Ronaldo Rodrigues; Nascimento, Francisco Assis de Oliveira; Rammig, Franz J.; Wagner, Flávio Rech

doi:10.1145/1601896.1601904

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…Most of the frameworks cited above do not address this issue. There are however some exceptions to this rule [10], [20], [22], which as in our proposal, integrate the DSE in a greater Model-Driven workflow.…”

Section: Related Workmentioning

confidence: 94%

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A model-based design space exploration for embedded image processing in industrial applications

Lerm

Doering

Rech

et al. 2014

2014 12th IEEE International Conference on Industrial Informatics (INDIN)

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The design and evolution of today's embedded systems face an increasing complexity both in the applications and in the platforms that support them. The use of complex platforms means that the engineers need to make non-trivial decisions during the design phase including optimized allocation, binding and scheduling. This situation creates a need for better ways to manage project complexity, and Model Driven Engineering is a possible solution. In this work, we propose an extension of a Model Driven Engineering methodology (i.e. HIPAO) to help manage complexity, which includes an automated Design Space Exploration phase that uses Genetic Algorithms to find the best hardware/software partitioning for a given application. We apply the HIPAO methodology to a case study of an autonomous industrial inspection system.

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Section: Related Workmentioning

confidence: 94%

“…This has led to investigation of problem-specific heuristics [11], [19] and multiobjective metaheuristics for the solution of the DSE problem. Recurring examples of metaheuristics applied to DSE are Ant-colony based algorithms [20], simulated annealing [21], and genetic algorithms [9], [10], [15], [16].…”

Section: Related Workmentioning

confidence: 99%

A model-based design space exploration for embedded image processing in industrial applications

Lerm

Doering

Rech

et al. 2014

2014 12th IEEE International Conference on Industrial Informatics (INDIN)

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“…The Model-driven Embedded System design (ModES) framework [6] provides meta-models representing MPSoC system concerns in specific aspects -application, platform, mapping, and implementation. These meta-models may partially match with our objectives despite they only focus on the mapping process and performance of a platform.…”

Section: Related Workmentioning

confidence: 99%

“…Many works provided meta-models for structures and behavior of MPSoC platforms [3]- [6]. However, these proposed meta-models are designed for specific purposes such as architectures with time-triggered execution paradigm, performance estimation or code generation for simulation, what make them difficult to reuse.…”

Section: Introductionmentioning

confidence: 99%

Model-driven reliability evaluation for MPSoC design

Nguyen¹,

Mouraud²,

Thévenin³

et al. 2017

2017 Conference on Design and Architectures for Signal and Image Processing (DASIP)

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When designing a Multi-Processor System-on-Chip (MPSoC), a very large range of design alternatives arises from a huge space of possible design options and component choices. Literature proposes numerous Design-Space-Exploration (DSE) approaches thats mainly focus on cost optimization. In this paper, we present a DSE approach which focuses on the reliability of the whole design. This approach is based on a meta-model of Multi-Processor System-on-Chips (MPSoCs) integrated the reliability evaluation. We develop a tool that allows designers to describe and optimize their platform based on the proposed meta-model. The obtained results of an MPSoC is presented including the improved overall reliability of the system thanks to the automatic selection of the fault tolerance strategies for each component.

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