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A Running Leap for Embedded Signal Processing to Future Parallel Platforms
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0001-6625-6533
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0002-4932-4036
Saab AB (EDS), Gothenburg, Sweden.
Saab AB (EDS), Gothenburg, Sweden.
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2014 (English)In: WISE'14: Proceedings of the 2014 ACM International Workshop on Long-Term Industrial Collaboration on Software Engineering, New York, NY: Association for Computing Machinery (ACM), 2014, p. 35-42Conference paper, Published paper (Refereed)
Abstract [en]

This paper highlights the collaboration between industry and academia in research. It describes more than two decades of intensive development and research of new hardware and software platforms to support innovative, high-performance sensor systems with extremely high demands on embedded signal processing capability. The joint research can be seen as the run before a necessary jump to a new kind of computational platform based on parallelism. The collaboration has had several phases, starting with a focus on hardware, then on efficiency, later on software development, and finally on taking the jump and understanding the expected future. In the first part of the paper, these phases and their respective challenges and results are described. Then, in the second part, we reflect upon the motivation for collaboration between company and university, the roles of the partners, the experiences gained and the long-term effects on both sides. Copyright © 2014 ACM.

Place, publisher, year, edition, pages
New York, NY: Association for Computing Machinery (ACM), 2014. p. 35-42
Keywords [en]
Industry-academia collaboration, Embedded signal processing, Parallel computing platforms, Software development
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:hh:diva-27296DOI: 10.1145/2647648.2647653Scopus ID: 2-s2.0-84908651240ISBN: 978-1-4503-3045-9 (print)OAI: oai:DiVA.org:hh-27296DiVA, id: diva2:772324
Conference
ASE '14 – ACM/IEEE International Conference on Automated Software Engineering, Västerås, Sweden, September 15-19, 2014
Funder
VinnovaKnowledge FoundationSwedish Foundation for Strategic Research Available from: 2014-12-16 Created: 2014-12-16 Last updated: 2020-10-02Bibliographically approved

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Svensson, BertilUl-Abdin, ZainÅhlander, AndersHoang Bengtsson, HoaiBengtsson, JerkerGaspes, VeronicaNordström, Tomas

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Svensson, BertilUl-Abdin, ZainÅhlander, AndersHoang Bengtsson, HoaiBengtsson, JerkerGaspes, VeronicaNordström, Tomas
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CiteExportLink to record
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Citation style
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