Java']Java multithreading-based parallel approximate arrow-type inverses

被引：1
|
作者：
Gravvanis, George A. [1 ]
Epitropou, Victor N. [1 ]
机构：
[1] Democritus Univ Thrace, Sch Engn, Dept Elect & Comp Engn, GR-67100 Xanthi, Greece
来源：
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2008年 / 20卷 / 10期
关键词：
sparse linear systems; approximate inverses; preconditioned conjugate gradient-type methods; parallel algorithms; parallel programming; object oriented programming;
D O I：
10.1002/cpe.1262
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
A new parallel shared memory Java multithreaded design and implementation of the explicit approximate inverse preconditioning, for efficiently solving arrow-type linear systems on symmetric multiprocessor systems (SMPs), is presented. A new parallel algorithm for computing a class of optimized approximate arrow-type inverse matrix is introduced. The performance on an SMP, using Java multithreading, is investigated by solving arrow-type linear systems and numerical results are given. The parallel performance of the construction of the optimized approximate inverse and the explicit preconditioned generalized conjugate gradient square scheme, using a dynamic workload scheduling, is also presented. Copyright (c) 2007 John Wiley & Sons, Ltd.
引用
收藏
页码：1151 / 1172
页数：22
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