Distillating knowledge about SCOTCH

Author Francois Pellegrini



PDF
Thumbnail PDF

File

DagSemProc.09061.9.pdf
  • Filesize: 212 kB
  • 12 pages

Document Identifiers

Author Details

Francois Pellegrini

Cite As Get BibTex

Francois Pellegrini. Distillating knowledge about SCOTCH. In Combinatorial Scientific Computing. Dagstuhl Seminar Proceedings, Volume 9061, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009) https://doi.org/10.4230/DagSemProc.09061.9

Abstract

The design of the Scotch library for static mapping, graph
partitioning and sparse matrix ordering is highly modular,
so as to allow users and potential contributors to tweak it
and add easily new static mapping, graph bipartitioning,
vertex separation or graph ordering methods to match their
particular needs.

The purpose of this tutorial is twofold. It will start with a
description of the interface of Scotch, presenting its visible
objects and data structures.
Then, we will step into the API mirror and have a look at the inside:
the internal representation of graphs, mappings and orderings, and the
basic sequential and parallel building blocks: graph induction, graph
coarsening which can be re-used by third-party software. As an
example, we will show how to add a simple genetic algorithm routine to
the graph bipartitioning methods.

Subject Classification

Keywords
  • Scotch
  • graph algorithms
  • data structures

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail