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FOLDING TECHNIQUES FOR SYSTOLIC ITERATIONS

 

作者: K. G. MARGARITIS,   D. J. EVANS,  

 

期刊: Parallel Algorithms and Applications  （Taylor Available online 1995）
卷期: Volume 7, issue 1-2  

页码: 87-105

 

ISSN:1063-7192

 

年代: 1995

 

DOI:10.1080/10637199508915524

 

出版商: Taylor & Francis Group

 

关键词: Systolic algorithms;transformation methods;matrix iterative methods

 

数据来源: Taylor

 

摘要:

This paper discusses the application of folding techniques on systolic matrix vector iterations performed on re-usable linear systolic arrays. The matrix vector iterations are presented in the context of well known linear algebra iterative methods for the solution of systems of equations. The same iterations form the basis of relaxation procedures of Hopfield type artificial neural networks.

 

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