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Improving the Communication Pattern in Matrix-Vector Operations for Large Scale-Free Graphs by Disaggregation

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Publication:2870705
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DOI10.1137/12088313XzbMath1280.05124MaRDI QIDQ2870705

Panayot S. Vassilevski, Verena Kuhlemann

Publication date: 21 January 2014

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)


zbMATH Keywords

disaggregationparallel computationscale-free graphsLaplacian matrices


Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Graph theory (including graph drawing) in computer science (68R10) Parallel numerical computation (65Y05) Graph algorithms (graph-theoretic aspects) (05C85)


Related Items

1.5D Parallel Sparse Matrix-Vector Multiply ⋮ Extending bootstrap AMG for clustering of attributed graphs ⋮ Modifying AMG Coarse Spaces with Weak Approximation Property to Exhibit Approximation in Energy Norm ⋮ Commuting projections on graphs


Uses Software

  • SLEPc
  • PETSc
  • PT-Scotch
  • Zoltan


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