METIS

METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes developed in our lab.

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References in zbMATH (referenced in 300 articles )

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  1. Carsten Burstedde, Jose A. Fonseca, Stefan Kollet: Enhancing speed and scalability of the ParFlow simulation code (2017) arXiv
  2. Cerdán, J.; Marín, J.; Mas, J.: A two-level ILU preconditioner for electromagnetic applications (2017)
  3. Haddar, Houssem; Jiang, Zixian; Riahi, Mohamed Kamel: A robust inversion method for quantitative 3D shape reconstruction from coaxial eddy current measurements (2017)
  4. Ulrich Wilbrandt, Clemens Bartsch, Naveed Ahmed, Najib Alia, Felix Anker, Laura Blank, Alfonso Caiazzo, Sashikumaar Ganesan, Swetlana Giere, Gunar Matthies, Raviteja Meesala, Abdus Shamim, Jagannath Venkatesan, Volker John: ParMooN - a modernized program package based on mapped finite elements (2017) arXiv
  5. Badia, Santiago; Martín, Alberto F.; Principe, Javier: Multilevel balancing domain decomposition at extreme scales (2016)
  6. Crestetto, A.; Deluzet, F.; Negulescu, C.: A hybrid method for anisotropic elliptic problems based on the coupling of an asymptotic-preserving method with the asymptotic limit model (2016)
  7. Girgis, Bassem R.; Rani, Sarma L.; Frendi, Abdelkader: Flowfield dependent variation method (2016)
  8. Grigori, Laura; Moufawad, Sophie; Nataf, Frederic: Enlarged Krylov subspace conjugate gradient methods for reducing communication (2016)
  9. Kang, Chanhyun; Kraus, Sarit; Molinaro, Cristian; Spezzano, Francesca; Subrahmanian, V.S.: Diffusion centrality: A paradigm to maximize spread in social networks (2016)
  10. Marras, Simone; Kelly, James F.; Moragues, Margarida; Müller, Andreas; Kopera, Michal A.; Vázquez, Mariano; Giraldo, Francis X.; Houzeaux, Guillaume; Jorba, Oriol: A review of element-based Galerkin methods for numerical weather prediction: finite elements, spectral elements, and discontinuous Galerkin (2016)
  11. Mirzadeh, Mohammad; Guittet, Arthur; Burstedde, Carsten; Gibou, Frederic: Parallel level-set methods on adaptive tree-based grids (2016)
  12. Nguyen, Dang Phuong; Minoux, Michel; Nguyen, Viet Hung; Nguyen, Thanh Hai; Sirdey, Renaud: Stochastic graph partitioning: quadratic versus SOCP formulations (2016)
  13. Paszyński, Maciej: Fast solvers for mesh-based computations (2016)
  14. Slota, George M.; Madduri, Kamesh; Rajamanickam, Sivasankaran: Complex network partitioning using label propagation (2016)
  15. Sousbie, Thierry; Colombi, Stéphane: ColDICE: A parallel Vlasov-Poisson solver using moving adaptive simplicial tessellation (2016)
  16. Voroshchuk, Denis N.; Miryaha, Vladislav A.; Petrov, Igor B.; Sannikov, Alexander V.: Discontinuous Galerkin method for wave propagation in elastic media with inhomogeneous inclusions (2016)
  17. Zampini, Stefano: PCBDDC: a class of robust dual-primal methods in PETSc (2016)
  18. Zuo, Xian-yu; Mo, Ze-yao; Gu, Tong-xiang; Xu, Xiao-wen; Zhang, Ai-qing: Multi-core parallel robust structured multifrontal factorization method for large discretized PDEs (2016)
  19. Amestoy, Patrick; Ashcraft, Cleve; Boiteau, Olivier; Buttari, Alfredo; L’Excellent, Jean-Yves; Weisbecker, Clément: Improving multifrontal methods by means of block low-rank representations (2015)
  20. Berrone, Stefano; Pieraccini, Sandra; Scialò, Stefano; Vicini, Fabio: A parallel solver for large scale DFN flow simulations (2015)

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