ParMETIS

ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes developed in our lab.


References in zbMATH (referenced in 131 articles )

Showing results 101 to 120 of 131.
Sorted by year (citations)
  1. Seegyoung Seol, E.; Shephard, Mark S.: Efficient distributed mesh data structure for parallel automated adaptive analysis (2006) ioport
  2. Teresco, James D.; Devine, Karen D.; Flaherty, Joseph E.: Partitioning and dynamic load balancing for the numerical solution of partial differential equations (2006)
  3. Devine, Karen D.; Boman, Erik G.; Heaphy, Robert T.; Hendrickson, Bruce A.; Teresco, James D.; Faik, Jamal; Flaherty, Joseph E.; Gervasio, Luis G.: New challenges in dynamic load balancing (2005)
  4. Iqbal, Saeed; Carey, Graham F.: Performance analysis of dynamic load balancing algorithms with variable number of processors (2005)
  5. Li, Xiaoye S.: An overview of SuperLU: algorithms, implementation, and user interface. (2005)
  6. Basermann, Achim; Cortial-Goutaudier, Fabienne; Jaekel, Uwe; Hachiya, Koutaro: Parallel solution techniques for sparse linear systems in circuit simulation (2004)
  7. Dingle, Nicholas J.; Harrison, Peter G.; Knottenbelt, William J.: Uniformization and hypergraph partitioning for the distributed computation of response time densities in very large Markov models (2004)
  8. Mitchell, William F.: Parallel adaptive multilevel methods with full domain partitions (2004)
  9. Nave, Démian; Chrisochoides, Nikos; Chew, L. Paul: Guaranteed-quality parallel Delaunay refinement for restricted polyhedral domains (2004)
  10. Owen, D. R. J.; Feng, Y. T.; de Souza Neto, E. A.; Cottrell, M. G.; Wang, F.; Andrade Pires, F. M.; Yu, J.: The modelling of multi-fracturing solids and particulate media (2004)
  11. Rantakokko, Jarmo: Comparison of parallelization models for structured adaptive mesh refinement (2004)
  12. Rao, Prasada: A parallel hydrodynamic model for shallow water equations. (2004)
  13. Fujisawa, T.; Inaba, M.; Yagawa, G.: Parallel computing of high-speed compressible flows using a node-based finite-element method (2003)
  14. Kanapady, R.; Tamma, K. K.: (A-scalability) and an integrated computational technology and framework for nonlinear structural dynamics. II: Implementation aspects and parallel performance results (2003)
  15. Kanapady, R.; Tamma, K. K.: A-scalability and an integrated computational technology and framework for nonlinear structural dynamics. I: Theoretical developments and parallel formulations (2003)
  16. Larwood, B. G.; Weatherill, N. P.; Hassan, O.; Morgan, K.: Domain decomposition approach for parallel unstructured mesh generation (2003)
  17. Wang, F.; Feng, Y. T.; Owen, D. R. J.: Interprocessor communication schemes in parallel finite-discrete element analysis on PC clusters (2003)
  18. Haase, Gundolf; Kuhn, Michael; Reitzinger, Stefan: Parallel algebraic multigrid methods on distributed memory computers (2002)
  19. Malouin, Éric; Dompierre, Julien; Guibault, François; Roy, Robert: (\mathbbP)-OO(\mathcalR\mathcalT): A parallel remeshing toolkit (2002)
  20. Schloegel, Kirk; Karypis, George; Kumar, Vipin: Parallel static and dynamic multi-constraint graph partitioning (2002)

Further publications can be found at: http://glaros.dtc.umn.edu/gkhome/metis/parmetis/publications