PT-Scotch: A tool for efficient parallel graph ordering
CHEVALIER, Cédric
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
PELLEGRINI, François
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
CHEVALIER, Cédric
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
PELLEGRINI, François
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
< Reduce
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Language
en
Communication dans un congrès
This item was published in
4th International Workshop on Parallel Matrix Algorithms and Applications (PMAA'06), 2006-09-07, Rennes.
English Abstract
Graph partitioning is an ubiquitous technique which has applications in many fields of computer science and engineering. Because there always exists large problem graphs which cannot fit in the memory of sequential computers ...Read more >
Graph partitioning is an ubiquitous technique which has applications in many fields of computer science and engineering. Because there always exists large problem graphs which cannot fit in the memory of sequential computers and cost too much to partition, parallel graph partitioning tools have been developed. Graph ordering is the first target application of the PT-Scotch (“Parallel Threaded Scotch”) software, a parallel extension of the sequential Scotch graph partitioning and ordering tool that we are currently developing within the ScAlApplix project. We outline in this extended abstract the algorithms which we have implemented in PT-Scotch to parallelize the Nested Dissection ordering method.Read less <
English Keywords
Parallel computing
sparse matrix ordering
ANR Project
SOLveurs et SimulaTIons en Calculs Extrême - ANR-06-CIS6-0010
Origin
Hal imported