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

被引：2

作者：

Poire, P ^{[1
]}

Savaria, Y ^{[1
]}

Daniel, W ^{[1
]}

Cantin, MA ^{[1
]}

Blaquiere, Y ^{[1
]}

机构：

[1] Ecole Polytech, Dept Elect & Comp Engn, Montreal, PQ H3C 3A7, Canada

来源：

CONFIGURABLE COMPUTING: TECHNOLOGY AND APPLICATIONS | 1998年 / 3526卷

关键词：

neural network; clusterer; fuzzy ART; codesign; FPGA;

D O I：

10.1117/12.327022

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper analyzes the performance differences found between software and hardware/sofware 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 50MHz TMS320C40 DSP, and the hardware/sofware 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 re suits for our application: acceleration factors up to 68.9 have been reached.

引用

页码：90 / 96

页数：7

共 6 条

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