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Optimized Realization of Software Components with Flexible OpenCL Functionality
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-9794-5497
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-8461-0230
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0165-3743
2018 (English)In: Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018, Funchal, Madeira, Portugal, March 23-24, 2018, 2018, p. 77-88Conference paper, Published paper (Refereed)
Abstract [en]

Today, the newly available embedded boards with GPUs provide a solution to satisfy the ever-increasing requirements of modern embedded systems. Component-based development is a well-known paradigm used to develop embedded systems. However, this paradigm lacks GPU support to address the specifics of these new boards. This leads to components that typically have reduced reusability, poor maintainability and portability. One way to tackle the existing shortcomings is through flexible components, i.e., platform-agnostic components that, at design time, offer the possibility to be executed either on CPU or GPU. The current realization of flexible components, i.e., as regular components with functionality tailored for the selected hardware, introduces additional overheads such as component communication overhead. In order to tackle the introduced overheads, our solution groups connected flexible components under a flexible group that conceptually behaves as a component. We introduce an algorithm to identify the existing groups in a given component-based system and the generation rules that automatically realizes groups as regular components. To evaluate the feasibility of the new concept, the flexible group is implemented using a state-of-the-practice component model (i.e., Rubus) and examined through the vision system of an underwater robot.

Place, publisher, year, edition, pages
2018. p. 77-88
Keywords [en]
software component, flexible component, GPU, embedded system, CBD, component-based development, component model, OpenCL
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-38648DOI: 10.5220/0006691500770088OAI: oai:DiVA.org:mdh-38648DiVA, id: diva2:1187068
Conference
13th International Conference on Evaluation of Novel Approaches to Software Engineering ENASE 2018, 23 Mar 2018, Madeira, Portugal
Projects
RALF3 - Software for Embedded High Performance ArchitecturesAvailable from: 2018-03-02 Created: 2018-03-02 Last updated: 2018-05-31Bibliographically approved

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Campeanu, GabrielCarlson, JanSentilles, Séverine

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