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A Radar Signal Processing Case Study for Dataflow Programming of Manycores
Halmstad Univ, Ctr Res Embedded Syst CERES, Halmstad, Sweden..
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
2017 (English)In: Journal of Signal Processing Systems, ISSN 1939-8018, E-ISSN 1939-8115, Vol. 87, no 1, 49-62 p.Article in journal (Refereed) Published
Abstract [en]

The successful realization of next generation radar systems have high performance demands on the signal processing chain. Among these are advanced Active Electronically Scanned Array (AESA) radars in which complex calculations are to be performed on huge sets of data in real-time. Manycore architectures are designed to provide flexibility and high performance essential for such streaming applications. This paper deals with the implementation of compute-intensive parts of AESA radar signal processing chain in a high-level dataflow language; CAL. We evaluate the approach by targeting a commercial manycore architecture, Epiphany, and present our findings in terms of performance and productivity gains achieved in this case study. The comparison of the performance results with the reference sequential implementations executing on a state-of-the-art embedded processor show that we are able to achieve a speedup of 1.6x to 4.4x by using only 10 cores of Epiphany.

Place, publisher, year, edition, pages
2017. Vol. 87, no 1, 49-62 p.
Keyword [en]
Dataflow language, Manycore architecture, Radar signal processing, Compiler
National Category
Computer Science
Identifiers
URN: urn:nbn:se:uu:diva-321434DOI: 10.1007/s11265-015-1078-1ISI: 000396155700004OAI: oai:DiVA.org:uu-321434DiVA: diva2:1094266
Available from: 2017-05-09 Created: 2017-05-09 Last updated: 2017-05-09Bibliographically approved

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