Dataflow toolset for soft-core processors on FPGA for image processing applications

Burak Bardak, Fahad Manzoor Siddiqui, Colm Kelly, Roger Woods

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
511 Downloads (Pure)


With security and surveillance, there is an increasing need to be able to process image data efficiently and effectively either at source or in a large data networks. Whilst Field Programmable Gate Arrays have been seen as a key technology for enabling this, they typically use high level and/or hardware description language synthesis approaches; this provides a major disadvantage in terms of the time needed to design or program them and to verify correct operation; it considerably reduces the programmability capability of any technique based on this technology. The work here proposes a different approach of using optimised soft-core processors which can be programmed in software. In particular, the paper proposes a design tool chain for programming such processors that uses the CAL Actor Language as a starting point for describing an image processing algorithm and targets its implementation to these custom designed, soft-core processors on FPGA. The main purpose is to exploit the task and data parallelism in order to achieve the same parallelism as a previous HDL implementation but avoiding the design time, verification and debugging steps associated with such approaches.

Original languageEnglish
Title of host publication2014 48th Asilomar Conference on Signals, Systems and Computers. Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781479982974
ISBN (Print)9781479982950
Publication statusPublished - 27 Apr 2014
Event48th IEEE Asilomar conference on Signal, Systems and Computers - , United States
Duration: 02 Nov 201405 Nov 2014


Conference48th IEEE Asilomar conference on Signal, Systems and Computers
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing


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