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Proceedings Paper

Associative massively parallel processor for video processing
Author(s): Argy Krikelis; T. Tawiah
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Paper Abstract

Massively parallel processing architectures have matured primarily through image processing and computer vision application. The similarity of processing requirements between these areas and video processing suggest that they should be very appropriate for video processing applications. This research describes the use of an associative massively parallel processing based system for video compression which includes architectural and system description, discussion of the implementation of compression tasks such as DCT/IDCT, Motion Estimation and Quantization and system evaluation. The core of the processing system is the ASP (Associative String Processor) architecture a modular massively parallel, programmable and inherently fault-tolerant fine-grain SIMD processing architecture incorporating a string of identical APEs (Associative Processing Elements), a reconfigurable inter-processor communication network and a Vector Data Buffer for fully-overlapped data input-output. For video compression applications a prototype system is developed, which is using ASP modules to implement the required compression tasks. This scheme leads to a linear speed up of the computation by simply adding more APEs to the modules.

Paper Details

Date Published: 22 March 1996
PDF: 11 pages
Proc. SPIE 2668, Digital Video Compression: Algorithms and Technologies 1996, (22 March 1996); doi: 10.1117/12.235420
Show Author Affiliations
Argy Krikelis, Aspex Microsystems Ltd. (United Kingdom)
T. Tawiah, Aspex Microsystems Ltd. (United Kingdom)

Published in SPIE Proceedings Vol. 2668:
Digital Video Compression: Algorithms and Technologies 1996
Vasudev Bhaskaran; Frans Sijstermans; Sethuraman Panchanathan, Editor(s)

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