An efficient parallel algorithm for O( N2) direct summation method and its variations on distributed-memory parallel machines

We present a novel, highly efficient algorithm to parallelize O( N 2) direct summation method for N-body problems with individual timesteps on distributed-memory parallel machines such as Beowulf clusters. Previously known algorithms, in which all processors have complete copies of the N-body system...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:New astronomy Jg. 7; H. 7; S. 373 - 384
1. Verfasser: Makino, Junichiro
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.10.2002
Schlagworte:
Celestial mechanics, stellar dynamics
Methods: numerical
98.10.+z
02.60.Cb
95.10.Ce
Celestial mechanics, stellar dynamics
Methods: numerical
ISSN:1384-1076, 1384-1092
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:We present a novel, highly efficient algorithm to parallelize O( N 2) direct summation method for N-body problems with individual timesteps on distributed-memory parallel machines such as Beowulf clusters. Previously known algorithms, in which all processors have complete copies of the N-body system, has the serious problem that the communication–computation ratio increases as we increase the number of processors, since the communication cost is independent of the number of processors. In the new algorithm, p processors are organized as a p × p two-dimensional array. Each processor has N/ p particles, but the data are distributed in such a way that complete system is presented if we look at any row or column consisting of p processors. In this algorithm, the communication cost scales as N/ p , while the calculation cost scales as N 2/ p. Thus, we can use a much larger number of processors without losing efficiency compared to what was practical with previously known algorithms.
ISSN:1384-1076
1384-1092
DOI:10.1016/S1384-1076(02)00143-4