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Using DSP-ASIP for Image Processing Applications
Pakistan Inst Engn & Appl Sci PIEAS, Pakistan.
Linköping University, Department of Electrical Engineering. Linköping University, Faculty of Science & Engineering.
Pakistan Inst Engn & Appl Sci PIEAS, Pakistan.
2019 (English)In: INTELLIGENT COMPUTING, VOL 1, SPRINGER INTERNATIONAL PUBLISHING AG , 2019, Vol. 858, p. 548-557Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2019. Vol. 858, p. 548-557
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357
Keywords [en]
DSP-ASIP; Image processing; 2D convolution
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-172225DOI: 10.1007/978-3-030-01174-1_41ISI: 000591565600041ISBN: 978-3-030-01174-1 (electronic)ISBN: 978-3-030-01173-4 (print)OAI: oai:DiVA.org:liu-172225DiVA, id: diva2:1512917
Conference
Computing Conference, London, ENGLAND, jul 10-12, 2018
Available from: 2020-12-28 Created: 2020-12-28 Last updated: 2020-12-28

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Total: 120 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf