Parallel Computations in Hydro Acoustics

Abstract

This research concerns the algorithmic development, computer implementation and direct numerical simulation of incompressible and compressible flow of naval relevance. Calculations were executed on a class of current generation multiprocessors. Pseudospectral methods were used exclusively. Lack of parallel algorithms critical to the effective implementation of spectral methods on parallel computers necessitated the need for the development of parallel FFT algorithms for real, conjugate symmetric and real symmetric sequences. These algorithms are applied to spectral methods, but also in many areas of scientific computing. The last algorithm, the parallel fast discrete cosine transform, is used extensively in image and signal processing. The parallel Fourier pseudospectral method for the incompressible Navier-Stokes equations was developed and implemented on many multiprocessors. Reconnection of orthogonally interacting vortex tubes was then investigated using the algorithm on parallel computers as well as vector supercomputers. The parallel Fourier pseudospectral method for the compressible Navier-Stokes equations was also developed. Shock / vortex interactions in two dimensions were investigated.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 1994
Accession Number
ADA285900

Entities

People

  • Richard B. Pelz

Organizations

  • Rutgers University Department of Mechanical and Aerospace Engineering

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Waves
  • Acoustics
  • Algorithms
  • Applied Mathematics
  • Boundary Layer
  • Compressible Flow
  • Computational Fluid Dynamics
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Incompressible Flow
  • Mechanics
  • Parallel Computing
  • Parallel Processing
  • Reynolds Number
  • Scattering
  • Two Dimensional

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Fluid Mechanics and Fluid Dynamics.
  • Parallel and Distributed Computing.