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A GPU-aware Component Model Extension for Heterogeneous Embedded Systems
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
2015 (English)In: The Tenth International Conference on Software Engineering Advances ICSEA 2015, 2015Conference paper, Published paper (Refereed)
Abstract [en]

One way for modern embedded systems to tackle the demand for more complex functionality requiring more computational power is to take advantage of heterogeneous hardware. These hardware platforms are constructed from the combination of different processing units including both traditional CPUs and for example Graphical Processing Units (GPUs). However, there is a lack of efficient approaches supporting software development for such systems. In particular, modern software development approaches, such as component-based development, do not provide sufficient support for heterogeneous hardware platforms. This paper presents a component model extension, which defines specific features for components with GPU capabilities. The benefits of the proposed solution include an increased system performance by accelerating the communication between GPU-aware components and the possibility to control the distribution of GPU computation resources at system level.

Place, publisher, year, edition, pages
2015.
Keyword [en]
Embedded Systems, Component-based Development, Heterogeneous CPU-GPU Systems, GPU Component Model
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-29657ISBN: 978-1-61208-438-1 (print)OAI: oai:DiVA.org:mdh-29657DiVA: diva2:876473
Conference
The Tenth International Conference on Software Engineering Advances ICSEA 2015, 15-20 Nov 2015, Barcelona, Spain
Projects
RALF3 - Software for Embedded High Performance Architectures
Available from: 2015-12-03 Created: 2015-11-26 Last updated: 2015-12-03Bibliographically approved

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