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Synthetic-Aperture Radar Processing on a Manycore Architecture
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES).ORCID-id: 0000-0002-4932-4036
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES).ORCID-id: 0000-0001-6625-6533
2012 (Engelska)Konferensbidrag, Muntlig presentation med publicerat abstract (Refereegranskat)
Abstract [en]

Synthetic-Aperture Radar (SAR) systems that are used to create high-resolution radar images from low-resolution aperture data require high computational performance. Manycore architectures are emerging to overcome the computational requirements of the complex radar signal processing.

In this paper, we evaluate a manycore architecture namely Epiphany by implementing two significantly large case studies of fast factorized back-projection and autofocus criterion calculation, which are key components in modern synthetic aperture radar systems. The implementation results from the two case studies are compared on the basis of utilized resources and performance. The Epiphany implementations demonstrate the usefulness of the architecture for the streaming algorithm (autofocus criterion calculation) by achieving speedup of 8.9x with respect to the sequential implementation on Intel Core i7 processor while operating at a lower clock speed. On the other hand, for the memory-intensive algorithm (fast factorized back-projection), the Epiphany architecture shows moderate speedup in the order of 4.25x. The Epiphany implementations of the two algorithms are, respectively, 38x and 78x more energy-efficient.

Ort, förlag, år, upplaga, sidor
2012.
Nationell ämneskategori
Inbäddad systemteknik
Identifikatorer
URN: urn:nbn:se:hh:diva-21360OAI: oai:DiVA.org:hh-21360DiVA, id: diva2:601748
Konferens
5th Swedish Workshop on Multicore Computing, MCC'2012, KTH/SICS, Stockholm, Sweden, November 22-23, 2012
Projekt
JUMP (Jump to Manycore Processors)
Forskningsfinansiär
KK-stiftelsenTillgänglig från: 2013-01-30 Skapad: 2013-01-30 Senast uppdaterad: 2017-04-28Bibliografiskt granskad

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Ul-Abdin, ZainSvensson, Bertil

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