High Performance Implementations for Computing the Maximal Lyapunov Exponent on Distributed Memory Architectures

被引：0
|
作者：
Marin Carrion, I. [1 ]
Arias Antunez, E. [2 ]
Artigao Castillo, M. M. [1 ]
Miralles Canals, J. J. [1 ]
机构：
[1] Univ Castilla La Mancha, Dept Appl Phys, Avda Espana S-N, Albacete 02071, Spain
[2] Univ Castilla La Mancha, Comp Syst Dept, E-02071 Albacete, Spain
来源：
INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2009 (ICCMSE 2009) | 2012年 / 1504卷
关键词：
Parallel Computing; Message Passing Interface; Physics; Nonlinear Time Series Analysis; maximal Lyapunov exponent; Kantz's method; TIME-SERIES;
D O I：
10.1063/1.4772146
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The calculation of maximal Lyapunov exponent is particularly relevant for systems forecasting in different fields of science and engineering (medicine, economy, oceanography, biological systems, etc.). In some of these applications, it is important to give results within a reasonable time scale, so the execution time for finding the maximal Lyapunov exponent has to be reduced. This paper describes two parallel implementations for computing the maximal Lyapunov exponent for distributed memory architectures. The accuracy and performance of the two parallel approaches are assessed and compared to the best sequential implementation for computing the maximal Lyapunov exponent which appears in the TISEAN project.
引用
收藏
页码：1214 / 1217
页数：4
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