Parallel SPH on Cray T3E and NEC SX-4 using DTS

T. Bubeck, M. Hipp, S. Hüttemann, S. Kunze, M. Ritt, W. Rosenstiel, H. Ruder and R. Speith
Additional contact information
T. Bubeck: Universität Tübingen, Wilhelm-Schickard-Institut für Informatik
M. Hipp: Universität Tübingen, Wilhelm-Schickard-Institut für Informatik
S. Hüttemann: Universität Tübingen, Wilhelm-Schickard-Institut für Informatik
S. Kunze: Universität Tübingen, Institut für Astronomie und Astrophysik
M. Ritt: Universität Tübingen, Wilhelm-Schickard-Institut für Informatik
W. Rosenstiel: Universität Tübingen, Wilhelm-Schickard-Institut für Informatik
H. Ruder: Universität Tübingen, Institut für Astronomie und Astrophysik
R. Speith: Universität Tübingen, Institut für Astronomie und Astrophysik

A chapter in High Performance Computing in Science and Engineering ’98, 1999, pp 396-409 from Springer

Abstract: Abstract In this paper we report on the results of a joint effort of astrophysicists and computer scientists to develop and implement a parallel program that enables us to solve large systems of hydrodynamic equations and covers a wide range of applications in astrophysics. We introduce the Distributed Threads System (DTS) as an environment for the development of portable parallel applications. The numerical method Smoothed Particle Hydrodynamics (SPH) is used to simulate the viscous spreading of an accretion disk around a massive compact object as an astrophysical test problem. The SPH code was parallelized using DTS and successfully ported to systems of different architecture. The use of a parallel SPH code on supercomputers enables us to treat astrophysical systems that were not accessible before. The achieved speedup proves the efficiency of DTS as a parallel programming environment. The physical results show the consistency and accuracy of the SPH method.

Keywords: Relay Node; Accretion Disk; Domain Decomposition; Neighbor Search; Smooth Particle Hydrodynamic (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-58600-2_38

Ordering information: This item can be ordered from
http://www.springer.com/9783642586002

DOI: 10.1007/978-3-642-58600-2_38

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().