Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Data–Parallel Implementation of the Geometric Partitioning Algorithm
KTH, School of Computer Science and Communication (CSC), Centres, Centre for High Performance Computing, PDC. (Parallelldatorcentrum)
1997 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present a data-parallel, High Performance Fortran (HPF) implementation of the geometric partitioning algorithm. The geometric partitioning algorithm has provably good partitioning quality. To our knowledge, our implementation is the first data--parallel implementation of the algorithm. Our data--parallel formulation makes extensive use of segmented prefix sums and parallel selections, and provide a dataparallel procedure for geometric sampling. Experiments in partitioning particles for load--balance and data interactions as required in hierarchical N-body algorithms and iterative algorithms for the solution of equilibrium equations on unstructured meshes by the finite element method have shown that the geometric partitioning algorithm has an efficient data--parallel formulation. Moreover, the quality of the generated partitions is competitive with that offered by the spectral bisection technique and better than the quality offered by other partitioning heuristics. 1 Introduction Th...

Place, publisher, year, edition, pages
1997.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-64548OAI: oai:DiVA.org:kth-64548DiVA: diva2:483116
Conference
Eighth SIAM Conference on Parallel Processing for Scientific Computing
Note
NR 20140805Available from: 2012-01-24 Created: 2012-01-24Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Johnsson, Lennart
By organisation
Centre for High Performance Computing, PDC
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 45 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf