hypre

hypre is a software library for the solution of large, sparse linear systems on massively parallel computers. Its emphasis is on modern powerful and scalable preconditioners. hypre provides various conceptual interfaces to enable application users to access the library in the way they naturally think about their problems. This paper presents the conceptual interfaces in hypre. An overview of the preconditioners that are available in hypre is given, including some numerical results that show the efficiency of the library


References in zbMATH (referenced in 306 articles , 1 standard article )

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  1. Schneider, Teseo; Panozzo, Daniele; Zhou, Xianlian: Isogeometric high order mesh generation (2021)
  2. Su, Guanting; Pan, Tianyu; Zheng, Mengzong; Li, Qiushi: A well-defined grid line-based immersed boundary method for efficient and accurate simulations of incompressible flow (2021)
  3. Świrydowicz, Katarzyna; Langou, Julien; Ananthan, Shreyas; Yang, Ulrike; Thomas, Stephen: Low synchronization Gram-Schmidt and generalized minimal residual algorithms. (2021)
  4. Yao, Yinuo; Criddle, Craig S.; Fringer, Oliver B.: The effects of particle clustering on hindered settling in high-concentration particle suspensions (2021)
  5. Ye, Shuai; An, Hengbin; Xu, Xiaowen; Xu, Xinhai; Yang, Xuejun: A filter in constructing the preconditioner for solving linear equation systems of radiation diffusion problems (2021)
  6. Ye, Shuai; Xu, Xinhai; An, Hengbin; Yang, Xuejun: A supplementary strategy for coarsening in algebraic multigrid (2021)
  7. Yue, Xiaoqiang; Zhang, Shulei; Xu, Xiaowen; Shu, Shi; Shi, Weidong: Algebraic multigrid block preconditioning for multi-group radiation diffusion equations (2021)
  8. Ahmed, Zaheer; Izbassarov, Daulet; Costa, Pedro; Muradoglu, Metin; Tammisola, Outi: Turbulent bubbly channel flows: effects of soluble surfactant and viscoelasticity (2020)
  9. Alberto Paganini, Florian Wechsung: Fireshape: a shape optimization toolbox for Firedrake (2020) arXiv
  10. Bui, Quan M.; Osei-Kuffuor, Daniel; Castelletto, Nicola; White, Joshua A.: A scalable multigrid reduction framework for multiphase poromechanics of heterogeneous media (2020)
  11. Çuğu, İlke; Manguoğlu, Murat: A parallel multithreaded sparse triangular linear system solver (2020)
  12. Dassi, F.; Scacchi, S.: Parallel block preconditioners for three-dimensional virtual element discretizations of saddle-point problems (2020)
  13. Deborde, Julien; Milcent, Thomas; Lubin, Pierre; Glockner, Stéphane: Numerical simulations of the interaction of solitary waves and elastic structures with a fully Eulerian method (2020)
  14. Farrell, P. E.; Gazca-Orozco, P. A.: An augmented Lagrangian preconditioner for implicitly constituted non-Newtonian incompressible flow (2020)
  15. Fernandez, Felipe; Barker, Andrew T.; Kudo, Jun; Lewicki, James P.; Swartz, Kenneth; Tortorelli, Daniel A.; Watts, Seth; White, Daniel A.; Wong, Jonathan: Simultaneous material, shape and topology optimization (2020)
  16. Gratien, Jean-Marc: A robust and scalable multi-level domain decomposition preconditioner for multi-core architecture with large number of cores (2020)
  17. Klawonn, Axel; Köhler, Stephan; Lanser, Martin; Rheinbach, Oliver: Computational homogenization with million-way parallelism using domain decomposition methods (2020)
  18. Kolahdouz, Ebrahim M.; Bhalla, Amneet Pal Singh; Craven, Brent A.; Griffith, Boyce E.: An immersed interface method for discrete surfaces (2020)
  19. Konshin, I. N.; Terekhov, K. M.; Vassilevski, Yu. V.: Numerical modelling via INMOST software platform (2020)
  20. Köstler, Harald; Heisig, Marco; Kohl, Nils; Kuckuk, Sebastian; Bauer, Martin; Rüde, Ulrich: Code generation approaches for parallel geometric multigrid solvers (2020)

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