A Run-Time Re-configurable Parametric Architecture for Local Neighborhood Image Processing

Authors:
Reid B. Porter;Jan R. Frigo;Maya Gokhale;C. Wolinski;F. Charot;C. Wagner
Affiliations:
Los Alamos National Lab, USA;Los Alamos National Lab, USA;Los Alamos National Lab, USA;Campus Universitaire de Beaulieu, France;Campus Universitaire de Beaulieu, France;Campus Universitaire de Beaulieu, France
Venue:
DSD '06 Proceedings of the 9th EUROMICRO Conference on Digital System Design
Year:
2006

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Abstract

We propose a run-time re-configurable parametric architecture (Fabric) for local neighborhood image processing. The proposed architecture is composed of polymorphous cells where each cell accesses neighborhood data from a local cell memory, and executes a neighborhood function sequentially. The architecture is flexible since different neighborhood functions can be implemented by rewriting a cell's software micro-code. High throughput is achieved because many cells execute concurrently. We show that for a satellite image feature extraction application, our architecture, implemented on Stratix II and Virtex 2 Field Programmable Gate Arrays, achieves similar performance, hardware resource utilization, and throughput as a fully pipelined systolic array architecture, yet offers improved flexibility to the developer. We compare and contrast these two architectures for their usability to the image processing community.