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PARALLEL COMPUTATION OF STURM-LIOUVILLE SPECTRAL DENSITY FUNCTIONS*†

 

作者: CHARLES FULTON,   STEVEN PRUESS,   WILLIAM SHOAFF,  

 

期刊: Parallel Algorithms and Applications  （Taylor Available online 1994）
卷期: Volume 4, issue 1-2  

页码: 41-51

 

ISSN:1063-7192

 

年代: 1994

 

DOI:10.1080/10637199408915453

 

出版商: Taylor & Francis Group

 

关键词: Communication time;computation time;continuous spectrum;distributed memory machine;efficiency;eigenvalue;eigenfunction norm;h2extrapolation;hypercube;load balancing;processor;spectral density function;spectral density function interpolation;speed-up;Sturm

 

数据来源: Taylor

 

摘要:

The estimation of spectral density functions for singular Sturm-Liouville problems having continuous spectrum is a computationally intensive task. In this paper we adapt the algorithm from the software package SLEDGE, which was written for serial machines, to a hypcrcube environment.

 

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