A parallel cosmological hydrodynamics code

Formation by gravitational collapse of galaxies and the large-scale structure of the universe is a nonlinear, multi-scale, multi-component problem. This complex process involves dynamics of the gaseous baryons as well as of the gravitationally dominant dark matter. We discuss an implementation of a...

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Bibliographic Details
Published in:Proceedings of the 1996 ACM/IEEE conference on Supercomputing pp. 27 - 27-es
Main Authors: Bode, Paul W., Xu, Guohong, Cen, Renyue
Format: Conference Proceeding
Language:English
Published: Washington, DC, USA IEEE Computer Society 17.11.1996
Series:ACM Conferences
Subjects:
Computer systems organization > Architectures
Computer systems organization > Dependable and fault-tolerant systems and networks
General and reference > Cross-computing tools and techniques > Performance
Mathematics of computing > Information theory
Mathematics of computing > Information theory > Coding theory
Networks > Network performance evaluation
Security and privacy > Cryptography > Mathematical foundations of cryptography
Software and its engineering > Software organization and properties > Contextual software domains > Operating systems > Communications management
Theory of computation > Models of computation
X-ray clusters
algorithms
MPI
parallel computers
parallel applications
cosmology
large-scale structure
ISBN:0897918541, 9780897918541
Online Access:Get full text
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Summary:Formation by gravitational collapse of galaxies and the large-scale structure of the universe is a nonlinear, multi-scale, multi-component problem. This complex process involves dynamics of the gaseous baryons as well as of the gravitationally dominant dark matter. We discuss an implementation of a parallel, distributed memory, cosmological hydrodynamics code using MPI message passing; it is based on the Total-Variation-Diminishing (Harten 1983) serial code of Ryu et al. (1993). This parallel code follows the motion 1983) serial code of Ryu et al. (1993). This parallel code follows the motion of gas and dark matter simultaneously, combining a mesh based Eulerian hydrodynamics code and a Particle-Mesh N-body code. A new, flexible matrix transpose algorithm is used to interchange distributed and local dimensions of the mesh. Timing results from runs on an IBM SP2 supercomputer are given.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:0897918541
9780897918541
DOI:10.1145/369028.369085