Hardware/software codesign of a fuzzy ART neural clusterer: the benefits of configurable computing

Pascal Poire; Yvon Savaria; Herve Daniel; Marc-Andre Cantin; Yves Blaquiere

doi:10.1117/12.327022

8 October 1998 Hardware/software codesign of a fuzzy ART neural clusterer: the benefits of configurable computing

Pascal Poire, Yvon Savaria, Herve Daniel, Marc-Andre Cantin, Yves Blaquiere

Proceedings Volume 3526, Configurable Computing: Technology and Applications; (1998) https://doi.org/10.1117/12.327022
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

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.

Citation Download Citation

Pascal Poire, Yvon Savaria, Herve Daniel, Marc-Andre Cantin, and Yves Blaquiere "Hardware/software codesign of a fuzzy ART neural clusterer: the benefits of configurable computing", Proc. SPIE 3526, Configurable Computing: Technology and Applications, (8 October 1998); https://doi.org/10.1117/12.327022

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