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

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  1. Adler, James H.; Lashuk, Ilya; MacLachlan, Scott P.: Composite-grid multigrid for diffusion on the sphere. (2018)
  2. Badia, Santiago; Martín, Alberto F.; Principe, Javier: FEMPAR: an object-oriented parallel finite element framework (2018)
  3. Bertaccini, Daniele; Durastante, Fabio: Iterative methods and preconditioning for large and sparse linear systems with applications (2018)
  4. Chávez, Gustavo; Turkiyyah, George; Zampini, Stefano; Keyes, David: Parallel accelerated cyclic reduction preconditioner for three-dimensional elliptic PDEs with variable coefficients (2018)
  5. Foti, Daniel; Duraisamy, Karthik: Multi-dimensional finite volume scheme for the vorticity transport equations (2018)
  6. Gibou, Frederic; Fedkiw, Ronald; Osher, Stanley: A review of level-set methods and some recent applications (2018)
  7. Hoover, Alexander P.; Cortez, Ricardo; Tytell, Eric D.; Fauci, Lisa J.: Swimming performance, resonance and shape evolution in heaving flexible panels (2018)
  8. Huber, Markus; Rüde, Ulrich; Waluga, Christian; Wohlmuth, Barbara: Surface couplings for subdomain-wise isoviscous gradient based Stokes finite element discretizations (2018)
  9. Liu, Cheng; Hu, Changhong: An adaptive multi-moment FVM approach for incompressible flows (2018)
  10. Wang, Kun; Liu, Hui; Luo, Jia; Chen, Zhangxin: Efficient CPR-type preconditioner and its adaptive strategies for large-scale parallel reservoir simulations (2018)
  11. Allen, Jeffery; Leibs, Chris; Manteuffel, Tom; Rajaram, Harihar: A fluidity-based first-order system least-squares method for ice sheets (2017)
  12. Bauer, S.; Mohr, M.; Rüde, U.; Weismüller, J.; Wittmann, M.; Wohlmuth, B.: A two-scale approach for efficient on-the-fly operator assembly in massively parallel high performance multigrid codes (2017)
  13. Bui, Quan M.; Elman, Howard C.; Moulton, David J.: Algebraic multigrid preconditioners for multiphase flow in porous media (2017)
  14. Carsten Burstedde, Jose A. Fonseca, Stefan Kollet: Enhancing speed and scalability of the ParFlow simulation code (2017) arXiv
  15. Chávez, Gustavo; Turkiyyah, George; Keyes, David E.: A direct elliptic solver based on hierarchically low-rank Schur complements (2017)
  16. Delorme, Yann T.; Puri, Kunal; Nordstrom, Jan; Linders, Viktor; Dong, Suchuan; Frankel, Steven H.: A simple and efficient incompressible Navier-Stokes solver for unsteady complex geometry flows on truncated domains (2017)
  17. Delorme, Yann T.; Rodefeld, Mark D.; Frankel, Steven H.: Multiblock high order large eddy simulation of powered fontan hemodynamics: towards computational surgery (2017)
  18. Hoover, Alexander P.; Griffith, Boyce E.; Miller, Laura A.: Quantifying performance in the medusan mechanospace with an actively swimming three-dimensional jellyfish model (2017)
  19. Jomo, John N.; Zander, Nils; Elhaddad, Mohamed; Özcan, Ali; Kollmannsberger, Stefan; Mundani, Ralf-Peter; Rank, Ernst: Parallelization of the multi-level $hp$-adaptive finite cell method (2017)
  20. Koblitz, A. R.; Lovett, S.; Nikiforakis, N.; Henshaw, W. D.: Direct numerical simulation of particulate flows with an overset grid method (2017)

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