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 209 articles , 1 standard article )

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  1. Hoover, Alexander P.; Porras, Antonio J.; Miller, Laura A.: Pump or coast: the role of resonance and passive energy recapture in medusan swimming performance (2019)
  2. Neumüller, Martin; Smears, Iain: Time-parallel iterative solvers for parabolic evolution equations (2019)
  3. Paludetto Magri, Victor A.; Franceschini, Andrea; Janna, Carlo: A novel algebraic multigrid approach based on adaptive smoothing and prolongation for ill-conditioned systems (2019)
  4. Adler, James H.; Lashuk, Ilya; MacLachlan, Scott P.: Composite-grid multigrid for diffusion on the sphere. (2018)
  5. Badia, Santiago; Martín, Alberto F.; Principe, Javier: \textttFEMPAR: an object-oriented parallel finite element framework (2018)
  6. Bertaccini, Daniele; Durastante, Fabio: Iterative methods and preconditioning for large and sparse linear systems with applications (2018)
  7. Burstedde, Carsten; Fonseca, Jose A.; Kollet, Stefan: Enhancing speed and scalability of the ParFlow simulation code (2018)
  8. 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)
  9. Chávez, Gustavo; Turkiyyah, George; Zampini, Stefano; Keyes, David: Parallel accelerated cyclic reduction preconditioner for three-dimensional elliptic PDEs with variable coefficients (2018)
  10. Croci, Matteo; Giles, Mike B.; Rognes, M. E.; Farrell, Patrick E.: Efficient white noise sampling and coupling for multilevel Monte Carlo with nonnested meshes (2018)
  11. D’ambra, Pasqua; Filippone, Salvatore; Vassilevski, Panayot S.: BootCMatch. A software package for bootstrap AMG based on graph weighted matching (2018)
  12. Foti, Daniel; Duraisamy, Karthik: Multi-dimensional finite volume scheme for the vorticity transport equations (2018)
  13. Fumagalli, Alessio; Faille, Isabelle: A double-layer reduced model for fault flow on slipping domains with an hybrid finite volume scheme (2018)
  14. Ghosh, Debojyoti; Dorf, Mikhail A.; Dorr, Milo R.; Hittinger, Jeffrey A. F.: Kinetic simulation of collisional magnetized plasmas with semi-implicit time integration (2018)
  15. Gibou, Frederic; Fedkiw, Ronald; Osher, Stanley: A review of level-set methods and some recent applications (2018)
  16. Hofer, Christoph; Langer, Ulrich; Neumüller, Martin; Toulopoulos, Ioannis: Time-multipatch discontinuous Galerkin space-time isogeometric analysis of parabolic evolution problems (2018)
  17. Hoover, Alexander P.; Cortez, Ricardo; Tytell, Eric D.; Fauci, Lisa J.: Swimming performance, resonance and shape evolution in heaving flexible panels (2018)
  18. Huber, Markus; Rüde, Ulrich; Waluga, Christian; Wohlmuth, Barbara: Surface couplings for subdomain-wise isoviscous gradient based Stokes finite element discretizations (2018)
  19. Liu, Cheng; Hu, Changhong: An adaptive multi-moment FVM approach for incompressible flows (2018)
  20. 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)

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