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An Evaluation of High-Performance Embedded Processing on MPPAs
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
2013 (Engelska)Ingår i: Proceedings: 21st Annual International IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2013, Los Alamitos, California: IEEE Computer Society, 2013, s. 235-235, artikel-id 6546032Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Embedded signal processing is facing the challenges of increased performance as well as to achieve energy efficiency. Massively parallel processor arrays (MPPAs) consisting of tens or hundreds of processing cores offer the possibility of meeting the growing performance demand in an energy efficient way by exploiting parallelism instead of scaling the clock frequency of a single powerful processor.

In this paper, we evaluate two variants of MPPAs by implementing a significantly large case study, namely an autofocus criterion calculation, which is a key component in modern synthetic aperture radar systems. The implementation results from the two target architectures are compared on the basis of utilized resources, performance, and energy efficiency. The Ambric implementations demonstrate the usefulness of occam-pi based high-level language approach in utilizing hundreds of processors, whereas the Epiphany implementation reveals that energy-efficiency can be improved even further by a factors of 2-3 with respect to the Ambric implementations and can be achieved at high clock speeds. © 2013 IEEE.

Ort, förlag, år, upplaga, sidor
Los Alamitos, California: IEEE Computer Society, 2013. s. 235-235, artikel-id 6546032
Nyckelord [en]
Clock frequency, Embedded processing, Embedded signal processing, Energy efficient, Massively parallel processors, Processing core, Single processors, Energy efficiency, Signal processing, Computers
Nationell ämneskategori
Inbäddad systemteknik
Identifikatorer
URN: urn:nbn:se:hh:diva-23266DOI: 10.1109/FCCM.2013.44ISI: 000326442500047Scopus ID: 2-s2.0-84881123118ISBN: 978-0-7695-4969-9 (digital)ISBN: 978-1-4673-6005-0 (tryckt)ISBN: 978-1-4673-6005-0 (tryckt)OAI: oai:DiVA.org:hh-23266DiVA, id: diva2:636401
Konferens
2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines, Seattle, WA, United States, 28–30 April 2013
Projekt
Jump to Manycore Platforms (JUMP)Tillgänglig från: 2013-07-09 Skapad: 2013-07-09 Senast uppdaterad: 2017-04-07Bibliografiskt granskad

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Ul-Abdin, ZainSvensson, Bertil

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