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 81 to 100 of 131.
Sorted by year (citations)
  1. Liu, Qingkai; Mo, Zeyao; Zhang, Linbo: A parallel adaptive finite-element package based on ALBERTA (2008)
  2. Mazzeo, M. D.; Coveney, P. V.: Hemelb: A high performance parallel lattice-Boltzmann code for large scale fluid flow in complex geometries (2008)
  3. Sala, Marzio; Spotz, William F.; Heroux, Michael A.: PyTrilinos: High-performance distributed-memory solvers for Python (2008)
  4. Trifunović, Aleksandar; Knottenbelt, William J.: Parallel multilevel algorithms for hypergraph partitioning (2008)
  5. Alber, David M.; Olson, Luke N.: Parallel coarse-grid selection. (2007)
  6. Cai, Xing; Bouhmala, Noureddine: A unified framework of multi-objective cost functions for partitioning unstructured finite element meshes (2007)
  7. Diehl, Dennis: Higher-order schemes for simulation of compressible liquid-vapor flows with phase change. With CD-ROM. (2007)
  8. Do-Quang, M.; Villanueva, W.; Singer-Loginova, I.; Amberg, G.: Parallel adaptive computation of some time-dependent materials-related microstructural problems (2007)
  9. Iqbal, Saeed; Carey, Graham F.: Performance of parallel computations with dynamic processor allocation (2007) ioport
  10. Klawonn, Axel; Rheinbach, Oliver: Robust FETI-DP methods for heterogeneous three dimensional elasticity problems (2007)
  11. Kurc, Ozgur; Will, Kenneth: An iterative parallel workload balancing framework for direct condensation of substructures (2007)
  12. Mitchell, William F.: A refinement-tree based partitioning method for dynamic load balancing with adaptively refined grids (2007)
  13. Tan, Lijian; Zabaras, Nicholas: Modeling the growth and interaction of multiple dendrites in solidification using a level set method (2007)
  14. Tremel, U.; Sørensen, K. A.; Hitzel, S.; Rieger, H.; Hassan, Oubay; Weatherill, Nigel P.: Parallel remeshing of unstructured volume grids for CFD applications (2007)
  15. Conceição, Duilio; Goldfeld, Paulo; Sarkis, Marcus: Robust two-level lower-order preconditioners for a higher-order Stokes discretization with highly discontinuous viscosities (2006)
  16. Hendrickson, Bruce; Pothen, Alex: Combinatorial scientific computing: The enabling power of discrete algorithms in computational science (2006)
  17. Hsu, K.-H.; Chen, P.-Y.; Hung, C.-T.; Chen, L.-H.; Wu, J.-S.: Development of a parallel Poisson’s equation solver with adaptive mesh refinement and its application in field emission prediction (2006)
  18. Lang, Stefan: Parallel-adaptive simulation with the multigrid-based software framework UG (2006) ioport
  19. Lian, Y.-Y.; Hsu, K.-H.; Shao, Y.-L.; Lee, Y.-M.; Jeng, Y.-W.; Wu, J.-S.: Parallel adaptive mesh-refining scheme on a three-dimensional unstructured tetrahedral mesh and its applications (2006) ioport
  20. Salido, Miguel A.; Barber, Federico: Distributed CSPs by graph partitioning (2006)

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