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
收藏
页码：255 / 268
页数：14
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