Fast Parallel Tree Codes for Gravitational and Fluid Dynamical N-Body Problems

Abstract

We discuss two physical systems from separate disciplines that make use of the same algorithmic and mathematical structures to reduce the number of operations necessary to complete a realistic simulation. In the gravitational N- body problem, the acceleration of an object is given by the familiar Newtonian laws of motion and gravitation. The computational load is reduced by treating groups of bodies as single multipole sources rather than individual bodies. In the simulation of incompressible flows, the flow may be modeled by the dynamics of a set of N interacting vortices. Vortices are vector objects in three dimensions, but their interactions are mathematically similar to that of gravitating masses. The multipole approximation can be used to greatly reduce the time needed to compute the interactions between vortices. Both types of simulations were carried out on the Intel Touchstone Delta, a parallel MIMD computer with 512 processors. Timings are reported for systems of up to 10 million bodies, and demonstrate that the implementation scales well on massively parallel systems. The majority of the code is common between the two applications, which differ only in certain physics modules. In particular, the code for parallel tree construction and traversal is shared.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA286480

Entities

People

  • Gregoire S. Winckelmans
  • John K. Salmon
  • Michael S. Warren

Organizations

  • California Institute of Technology

Tags

DTIC Thesaurus Topics

  • Boundary Layer
  • Computational Science
  • Computations
  • Computer Programs
  • Computers
  • Construction
  • Data Acquisition
  • Data Sets
  • Equations
  • Fluid Dynamics
  • Hash Tables
  • Integral Equations
  • N Body Problem
  • Simulations
  • Three Dimensional
  • Trees (Data Structures)
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Aerodynamics/Aeronautics.
  • Parallel and Distributed Computing.
  • Plasma Physics / Magnetohydrodynamics