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

页码：1214 / 1217

页数：4

共 50 条

[31] High-Performance Computing System Architectures: Design and Performance
Bagherzadeh, Nader
Sarbazi-Azad, Hamid
[J]. IET COMPUTERS AND DIGITAL TECHNIQUES, 2012, 6 (05): : 257 - 258
[32] A high performance distributed memory & computing algorithm for face recognition via conformal mapping
Megherbi, DB
Boulenouar, AJ
Rajagopalan, V
[J]. VISUAL INFORMATION PROCESSING X, 2001, 4388 : 246 - 257
[33] Trends in Architectures and Methods for High Performance Computing Simulation
Resch, M. M.
[J]. PARALLEL, DISTRIBUTED AND GRID COMPUTING FOR ENGINEERING, 2009, 21 : 37 - 48
[34] Configurable computing: The catalyst for high-performance architectures
Ebeling, C
Cronquist, DC
Franklin, P
[J]. IEEE INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS, PROCEEDINGS, 1997, : 364 - 372
[35] Middleware in modern high performance computing system architectures
Engelmann, Christian
Ong, Hong
Scott, Stephen L.
[J]. COMPUTATIONAL SCIENCE - ICCS 2007, PT 2, PROCEEDINGS, 2007, 4488 : 784 - +
[36] High-Performance Computing Applications on Novel Architectures
Kindratenko, Volodymyr
Thiruvathukal, George K.
Gottlieb, Steven
[J]. COMPUTING IN SCIENCE & ENGINEERING, 2008, 10 (06) : 13 - 15
[37] Metalanguage for High-Performance Computing on Hybrid Architectures
Gradvohl, A. L. S.
[J]. IEEE LATIN AMERICA TRANSACTIONS, 2014, 12 (06) : 1162 - 1168
[38] DISK SYSTEM ARCHITECTURES FOR HIGH-PERFORMANCE COMPUTING
KATZ, RH
GIBSON, GA
PATTERSON, DA
[J]. PROCEEDINGS OF THE IEEE, 1989, 77 (12) : 1842 - 1858
[39] A high-level programming environment for distributed memory architectures
Giloi, WK
Pohl, HW
Schramm, A
[J]. PARALLEL COMPUTING TECHNOLOGIES, 1999, 1662 : 217 - 222
[40] Generating High-Performance Number Theoretic Transform Implementations for Vector Architectures
Zhang, Naifeng
Ebel, Austin
Neda, Negar
Brinich, Patrick
Reynwar, Benedict
Schmidt, Andrew G.
Franusich, Mike
Johnson, Jeremy
Reagen, Brandon
Franchetti, Franz
[J]. 2023 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE, HPEC, 2023,

← 1 2 3 4 5 →