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Using DSP-ASIP for Image Processing Applications
Pakistan Inst Engn & Appl Sci PIEAS, Pakistan.
Linköpings universitet, Institutionen för systemteknik. Linköpings universitet, Tekniska fakulteten.
Pakistan Inst Engn & Appl Sci PIEAS, Pakistan.
2019 (engelsk)Inngår i: INTELLIGENT COMPUTING, VOL 1, SPRINGER INTERNATIONAL PUBLISHING AG , 2019, Vol. 858, s. 548-557Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The rapid deployment of embedded image processing applications have forced a paradigm shift from complete hardware and software based implementations providing best performance and lowest cost, respectively towards a hybrid approach, namely, application specific instruction-set processor (ASIP). In this paper, we evaluate the applicability of CuSP, a softcore DSP-ASIP, for image processing applications. CuSP has a Crimson DSP processor core and hardware accelerators directly coupled with the core offering improved performance with flexibility. Results show that CuSP offers performance improvement over standard softprocessor MicroBlaze by up to a factor of 36 times. Crimson DSP core alone gives up to 5.3 times lower execution cycles than MicroBlaze.

sted, utgiver, år, opplag, sider
SPRINGER INTERNATIONAL PUBLISHING AG , 2019. Vol. 858, s. 548-557
Serie
Advances in Intelligent Systems and Computing, ISSN 2194-5357
Emneord [en]
DSP-ASIP; Image processing; 2D convolution
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-172225DOI: 10.1007/978-3-030-01174-1_41ISI: 000591565600041ISBN: 978-3-030-01174-1 (digital)ISBN: 978-3-030-01173-4 (tryckt)OAI: oai:DiVA.org:liu-172225DiVA, id: diva2:1512917
Konferanse
Computing Conference, London, ENGLAND, jul 10-12, 2018
Tilgjengelig fra: 2020-12-28 Laget: 2020-12-28 Sist oppdatert: 2020-12-28

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