About: Load and Memory Balanced Mesh Partitioning for a Parallel Envelope Method     Goto   Sponge   NotDistinct   Permalink

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Description
  • Není k dispozici (cs)
  • 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 the multilevel graph partitioning schema to balance real computational load or memory requirements of the solver.
  • 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 the multilevel graph partitioning schema to balance real computational load or memory requirements of the solver. (en)
Title
  • Není k dispozici (cs)
  • Load and Memory Balanced Mesh Partitioning for a Parallel Envelope Method
  • Load and Memory Balanced Mesh Partitioning for a Parallel Envelope Method (en)
skos:prefLabel
  • Není k dispozici (cs)
  • Load and Memory Balanced Mesh Partitioning for a Parallel Envelope Method
  • Load and Memory Balanced Mesh Partitioning for a Parallel Envelope Method (en)
skos:notation
  • RIV/68407700:21230/04:03100059!RIV/2005/AV0/212305/N
http://linked.open.../vavai/riv/strany
  • 734 ; 741
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IBS3086102), Z(MSM 212300014)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 571678
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/04:03100059
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • domain decomposition; envelope method; load balancing; parallel solver (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E1023B246681]
http://linked.open...v/mistoKonaniAkce
  • Pisa
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Euro-Par 2004 Parallel Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Tvrdík, Pavel
  • Medek, Ondřej
  • Kruis, J.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 3-540-22924-8
http://localhost/t...ganizacniJednotka
  • 21230
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