Extending MARTE to Support the Specification and the Generation of Data Intensive Applications for Massively Parallel SoC

Ammar, M.; Baklouti, Mouna; Abid, Mohamed

doi:10.1109/dsd.2012.57

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…MARTE is very general and supported by several tools. However, due to the complexity it has to support, MARTE is still a work in progress [12] subject to evaluation and extension proposals [52] [53] [54]. Alternatively, SysML and MARTE tend to be combined because there is complementarity of technology coverage [55] [56].…”

Section: Do-178dmentioning

confidence: 99%

Bare-Metal Kernels for DEVS Model Execution in Embedded Systems

Niyonkuru¹

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With the rising popularity of embedded systems came new challenges due to evergrowing market application demands, increasing complexity and widening productivity gap. To deal with these issues, model-driven development promotes a higher level of abstraction during design and uses models as the primary artifacts that guide the product development. In fact, the fundamental principle is to construct a model of a system and then transform it into the real system. We focus on DEMES, a model-driven development methodology based on the Discrete Event System Specification (DEVS)-that defines a formal Modeling and Simulation framework for discrete event dynamic systems-, and especially the transition from simulated platform to execution platform, i.e. the embedded hardware. In this dissertation, we present bare-metal real-time executives that allow DEVS models to be executed on a target platform without the need of an operating system. This is particularly important for target platforms with limited resources. In addition to the real-time executives, we introduce a hardware abstract layer that supports several hardware peripheral libraries and fosters fast prototyping. We also illustrate the DEMES-driven development cycle with a particular case study: a line tracking robot application. Our contributions have resulted in a reduced footprint, increased performance and enhanced platform portability. I thank Dr Gabriel Wainer whose invaluable advice and ongoing support helped through my graduate studies and research. One of my objectives in graduate school was to work with and learn from some of the best in the field, and I had this privilege under his supervision. The past two years have been both a challenging and rewarding experience. I also thank the members of the Advanced Real-Time Simulation Laboratory for their help and comradeship. v

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Section: Do-178dmentioning

confidence: 99%

Bare-Metal Kernels for DEVS Model Execution in Embedded Systems

Niyonkuru¹

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The Co-design of System-on-Chip in Africa: Spotlights on Industry, Research Efforts, Trends, and Challenges

Ammar¹,

Baklouti²,

Abid³

2014

Computing in Research and Development in Africa

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A Comprehensive Exploration of Languages for Parallel Computing

et al. 2022

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Software-intensive systems in most domains, from autonomous vehicles to health, are becoming predominantly parallel to efficiently manage large amount of data in short (even real-) time. There is an incredibly rich literature on languages for parallel computing, thus it is difficult for researchers and practitioners, even experienced in this very field, to get a grasp on them. With this work we provide a comprehensive, structured, and detailed snapshot of documented research on those languages to identify trends, technical characteristics, open challenges, and research directions. In this article, we report on planning, execution, and results of our systematic peer-reviewed as well as grey literature review, which aimed at providing such a snapshot by analysing 225 studies.

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Extending MARTE to Support the Specification and the Generation of Data Intensive Applications for Massively Parallel SoC

Cited by 3 publications

References 13 publications

Bare-Metal Kernels for DEVS Model Execution in Embedded Systems

Bare-Metal Kernels for DEVS Model Execution in Embedded Systems

The Co-design of System-on-Chip in Africa: Spotlights on Industry, Research Efforts, Trends, and Challenges

A Comprehensive Exploration of Languages for Parallel Computing

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