Parallel Programming Methodologies for Non-Uniform Structured Problems in Materials Science

Abstract

The purpose of this investigation is to explore software techniques for reducing the development costs of scientific applications running on distributed memory MIMD parallel computers. Our objective is to develop a domain specific software development tool called LPAR. LPAR is targeted to non-uniform numerical methods that employ elaborate representations--such as adaptive and multilevel finite difference meshes or particles--to accurately capture irregular phenomena such as turbulence and shocks. We are using LPAR to develop new parallel software techniques and numerical algorithms for the predictive modeling of technologically important materials using first principles simulations.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1993
Accession Number
ADA277868

Entities

People

  • Scott B. Baden

Organizations

  • University of California, San Diego

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Computer Programming
  • Computer Science
  • Computers
  • Electronic Mail
  • Engineering
  • High Performance Computing
  • Materials
  • Materials Science
  • Parallel Computing
  • Parallel Processing
  • Software Development
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Parallel and Distributed Computing.