Logo RUB
  • Institute
    • ICAMS
      • Mission
      • Structure
      • Members
      • Fellows
    • Departments & Research Groups
      • Atomistic Modelling and Simulation
      • Scale-Bridging Thermodynamic and Kinetic Simulation
      • Micromechanical and Macroscopic Modelling
      • Artificial Intelligence for Integrated Material Science
      • Computational Design of Functional Interfaces
      • Scale-Bridging Simulation of Functional Composites
      • Materials Informatics and Data Science
      • High-Performance Computing in Materials Science
    • Central Services
      • Coordination Office
      • IT
  • Research
    • Overview
    • Publications
    • Software and Data
    • Collaborative research
    • Research networks
    • Young enterprises
  • Teaching
    • Overview
    • Materialwissenschaft B.Sc.
    • Materials Science and Simulation M.Sc.
    • ICAMS Graduate School
    • Student Projects
  • News & Events
    • Overview
    • News
    • Seminars and Workshops
    • Conferences
  • Services
    • Overview
    • Contact
    • Open positions
    • Travel information
 
ICAMS
ICAMS
MENÜ
  • RUB-STARTSEITE
  • Institute
    • ICAMS
    • Departments & Research Groups
    • Central Services
  • Research
    • Overview
    • Publications
    • Software and Data
    • Collaborative research
    • Research networks
    • Young enterprises
  • Teaching
    • Overview
    • Materialwissenschaft B.Sc.
    • Materials Science and Simulation M.Sc.
    • ICAMS Graduate School
    • Student Projects
  • News & Events
    • Overview
    • News
    • Seminars and Workshops
    • Conferences
  • Services
    • Overview
    • Contact
    • Open positions
    • Travel information
Home » Research » Publications

Just another WordPress site - Ruhr-Universität Bochum

Multi-level load balancing for parallel particle simulations

G. Sutmann

Particles 2019, 80-92, (2019)

Download: BibTEX

Ideas from multi-level relaxation methods are combined with loadbalancing techniques to achieve a convergence acceleration for a homogeneous workload distribution over a given set of processors when the underlying workfunction is inhomogeneously distributed in space. The algorithm is based on an orthogonal recursive bisection approach which is evaluated via a hierarchically refined coarse integration.The method only requires a minimal information transfer across processors during the tree traversal steps. It is described of how to partition the system of processors to geometrical space, when global information is needed for the spatial tesselation.

back
{"type":"inproceedings", "name":"g.sutmann201910", "author":"G. Sutmann", "title":"Multilevel load balancing for parallel particle simulations", "journal":"Particles 2019", "volume":"", "OPTnumber":"", "OPTmonth":"10", "year":"2019", "OPTpages":"80-92", "OPTnote":"", "OPTkey":"parallel computing; particle methods; load balancing; multi-level; Meth-ods; multigrid", "DOI":""}
Logo RUB
  • Open positions
  • Travel information
  • Imprint
  • Privacy Policy
  • Sitemap
Ruhr-Universität Bochum
Universitätsstraße 150
44801 Bochum

  • Open positions
  • Travel information
  • Imprint
  • Privacy Policy
  • Sitemap
Seitenanfang Kontrast N