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Load and Memory Balanced Mesh Partitioning for a Parallel Envelope Method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03100059" target="_blank" >RIV/68407700:21230/04:03100059 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Load and Memory Balanced Mesh Partitioning for a Parallel Envelope Method

  • Original language description

    We use a parallel direct solver based on the Schur complement method for solving large sparse linear systems arising from the finite element method. A domain decomposition of a problem is performed using a graph partitioning. It results in sparse submatrices with balanced sizes. An envelope method is used to factorize these submatrices. However, the memory requirements to store them and the computational cost to factorize them depends heavily on their structure. We propose a technique that modifies themultilevel graph partitioning schema to balance real computational load or memory requirements of the solver.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/IBS3086102" target="_blank" >IBS3086102: Parallel Algorithms for Large Scale Simulation on PC Clusters</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2004

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Euro-Par 2004 Parallel Processing

  • ISBN

    3-540-22924-8

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    734-741

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Pisa

  • Event date

    Aug 31, 2004

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article