Dynamic spectral partitioning

Horst D. Simon, Andrew Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recursive Spectral Bisection (RSB) has been proposed as an efficient heuristic algorithm for partitioning problem for unstructured problems about six years ago, and has since become a widely used tool when implementing finite element applications on parallel processors. However, many applications have a dynamically changing communication pattern, e.g. unstructured grid problems with adaptive refinement. In this talk we will outline a method which combines the advantages of RSB with the capability of quickly updating a partitioning, if the underlyng grid is dynamically changing. We call this method dynamic spectral partitioning (DSP). We will discuss the derivation of DSP, and motivate it with applications from structural analysis and computational chemistry. Then, using an adaptive grid refinement 3d Navier-Stokes code on the IBM SP-2, we will demonstrate how DSP can be applied to the solution of practical problems.

Original languageEnglish (US)
Title of host publicationParallel Algorithms for Irregularly Structured Problems - 3rd International Workshop IRREGULAR 1996, Proceedings
EditorsAfonso Ferreira, Jose Rolim, Yousef Saad, Tao Yang
PublisherSpringer Verlag
ISBN (Print)3540615490, 9783540615491
DOIs
StatePublished - 1996
Event3rd International Workshop on Parallel Algorithms for Irregularly Structured Problems, IRREGULAR 1996 - Santa Barbara, United States
Duration: Aug 19 1996Aug 21 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1117
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Workshop on Parallel Algorithms for Irregularly Structured Problems, IRREGULAR 1996
Country/TerritoryUnited States
CitySanta Barbara
Period8/19/968/21/96

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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