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A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing
14th Annual IEEE Symposium on Field-P ...
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Reid Porter, Los Alamos National Lab, Los Alamos
Jan Frigo, Los Alamos National Lab, Los Alamos
Maya Gokhale, Los Alamos National Lab, Los Alamos
Christophe Wolinski, IRISA/IFSIC, France
Francois Charot, IRISA/IFSIC, France
Charles Wagner, IRISA/IFSIC, France
We propose a run-time re-configurable architecture for local neighborhood image processing. We discuss how the new architecture can offer improved flexibility to the developer. 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.
Citation:
Reid Porter, Jan Frigo, Maya Gokhale, Christophe Wolinski, Francois Charot, Charles Wagner, "A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing," fccm,pp.279-280, 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'06), 2006
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