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Proceedings Paper

Hardware/software codesign of a fuzzy ART neural clusterer: the benefits of configurable computing
Author(s): Pascal Poire; Yvon Savaria; Herve Daniel; Marc-Andre Cantin; Yves Blaquiere
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Paper Abstract

This paper analyzes the performance differences found between software and hardware/software implementations of a reformulated Fuzzy ART neural network algorithm. This reformulated algorithm is a solution for a real time radar signal clustering problem. The software implementations run on a 50 MHz TMS320C40 DSP, and the hardware/software implementation runs on the same DSP for its software part, whereas the FPGA based application specific hardware accelerator is realized on the MiroTech's X-CIM TIM40 module. This investigation of FPGA based acceleration gave excellent results for our application: acceleration factors up to 68.9 have been reached.

Paper Details

Date Published: 8 October 1998
PDF: 7 pages
Proc. SPIE 3526, Configurable Computing: Technology and Applications, (8 October 1998); doi: 10.1117/12.327022
Show Author Affiliations
Pascal Poire, Ecole Polytechnique de Montreal (Canada)
Yvon Savaria, Ecole Polytechnique de Montreal (Canada)
Herve Daniel, Ecole Polytechnique de Montreal (Canada)
Marc-Andre Cantin, Univ. du Quebec/Montreal (Canada)
Yves Blaquiere, Univ. du Quebec/Montreal (Canada)


Published in SPIE Proceedings Vol. 3526:
Configurable Computing: Technology and Applications
John Schewel, Editor(s)

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