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Adaptive real-time image processing exploiting two dimensional reconfigurable architecture

Braun, L.; Goehringer, D.; Huebner, M.; Becker, J.; Perschke, T.; Schatz, V.

Abstract:
Fine grained reconfigurable architectures, like Xilinx field programmable gate arrays (FPGAs) provide a high flexibility through runtime re-programming, called dynamic and partial reconfiguration. This feature allows for runtime adaptation of the system architecture and behavior configured on the FPGA. The exploitation of this feature enables to load video image processing algorithms on-demand in order to adapt the configuration in correspondence to the changing requirements of the application depending on the image content. For high resolution sensor images, this novel computing paradigm can provide a huge benefit in power reduction and performance gain for actual and future embedded electronic systems. This paper presents a two dimensional system approach exploiting dynamic and partial reconfiguration in order to adapt the system architecture to the actual requirements of image processing applications. The methodology of runtime reconfiguration can be exploited beneficially for highly adaptive multiprocessor systems. Such systems, different from the traditional static approach for multi- and many-core architectures have the advant ... mehr


Zugehörige Institution(en) am KIT Institut für Technik der Informationsverarbeitung (ITIV)
Publikationstyp Zeitschriftenaufsatz
Jahr 2009
Sprache Englisch
Identifikator ISSN: 1861-8200
KITopen-ID: 1000014135
Erschienen in Journal of Real-Time Image Processing
Band 4
Heft 2
Seiten 109 - 125
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