Remote parallel model reduction of linear time-invariant systems made easy

被引：0

作者：

Benner, P ^{[1
]}

Mayo, R

Quintana-Ortí, ES

Quintana-Ortí, G

机构：

[1] Tech Univ Berlin, Inst Math, D-10623 Berlin, Germany

[2] Univ Jaume 1, Dept Ingn & Ciencia Computadores, Castellon de La Plana 12071, Spain

来源：

HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE - VECPAR 2002 | 2003年 / 2565卷

关键词：

model reduction; absolute error methods; matrix sign function; mail service;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper describes a library for model reduction of large-scale, dense linear time-invariant systems on parallel distributed-memory computers. Our library is enhanced with a mail service which serves as a demonstrator of the capabilities of the library. Remote requests submitted via e-mail axe executed on a cluster composed of Intel Pentium-II nodes connected via a Myrinet switch. Experimental results show the numerical and parallel performances of our model reduction routines.

引用

页码：255 / 268

页数：14

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