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. Chang, Justin; Fabien, Maurice S.; Knepley, Matthew G.; Mills, Richard T.: Comparative study of finite element methods using the time-accuracy-size(TAS) spectrum analysis (2018)
  5. Chávez, Gustavo; Turkiyyah, George; Zampini, Stefano; Keyes, David: Parallel accelerated cyclic reduction preconditioner for three-dimensional elliptic PDEs with variable coefficients (2018)
  6. Foti, Daniel; Duraisamy, Karthik: Multi-dimensional finite volume scheme for the vorticity transport equations (2018)
  7. Fumagalli, Alessio; Faille, Isabelle: A double-layer reduced model for fault flow on slipping domains with an hybrid finite volume scheme (2018)
  8. Ghosh, Debojyoti; Dorf, Mikhail A.; Dorr, Milo R.; Hittinger, Jeffrey A. F.: Kinetic simulation of collisional magnetized plasmas with semi-implicit time integration (2018)
  9. Gibou, Frederic; Fedkiw, Ronald; Osher, Stanley: A review of level-set methods and some recent applications (2018)
  10. Hofer, Christoph; Langer, Ulrich; Neumüller, Martin; Toulopoulos, Ioannis: Time-multipatch discontinuous Galerkin space-time isogeometric analysis of parabolic evolution problems (2018)
  11. Hoover, Alexander P.; Cortez, Ricardo; Tytell, Eric D.; Fauci, Lisa J.: Swimming performance, resonance and shape evolution in heaving flexible panels (2018)
  12. Huber, Markus; Rüde, Ulrich; Waluga, Christian; Wohlmuth, Barbara: Surface couplings for subdomain-wise isoviscous gradient based Stokes finite element discretizations (2018)
  13. Liu, Cheng; Hu, Changhong: An adaptive multi-moment FVM approach for incompressible flows (2018)
  14. Maitri, R. V.; Das, S.; Kuipers, J. A. M.; Padding, J. T.; Peters, E. A. J. F.: An improved ghost-cell sharp interface immersed boundary method with direct forcing for particle laden flows (2018)
  15. Manteuffel, Thomas A.; Ruge, John; Southworth, Ben S.: Nonsymmetric algebraic multigrid based on local approximate ideal restriction ($\ell$AIR) (2018)
  16. Picot, Joris; Glockner, Stéphane: Reduction of the discretization stencil of direct forcing immersed boundary methods on rectangular cells: the ghost node shifting method (2018)
  17. Raina, Arun; Sime, Nathan: Effects of anisotropy and regime of diffusion on the measurement of lattice diffusion coefficient of hydrogen in metals (2018)
  18. Wang, Kun; Liu, Hui; Luo, Jia; Chen, Zhangxin: Efficient CPR-type preconditioner and its adaptive strategies for large-scale parallel reservoir simulations (2018)
  19. Allen, Jeffery; Leibs, Chris; Manteuffel, Tom; Rajaram, Harihar: A fluidity-based first-order system least-squares method for ice sheets (2017)
  20. 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)

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