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 231 articles , 1 standard article )

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  1. Raina, Arun; Sime, Nathan: Effects of anisotropy and regime of diffusion on the measurement of lattice diffusion coefficient of hydrogen in metals (2018)
  2. Ruipeng Li, Yuanzhe Xi, Lucas Erlandson, Yousef Saad: The Eigenvalues Slicing Library (EVSL): Algorithms, Implementation, and Software (2018) arXiv
  3. Sun, Hui; Zhou, Shenggao; Cheng, Li-Tien; Li, Bo: Numerical methods for solvent Stokes flow and solute-solvent interfacial dynamics of charged molecules (2018)
  4. Tan, Guangming; Liu, Junhong; Li, Jiajia: Design and implementation of adaptive SpMV library for multicore and many-core architecture (2018)
  5. Voronin, Kirill; Lee, Chak Shing; Neumüller, Martin; Sepulveda, Paulina; Vassilevski, Panayot S.: Space-time discretizations using constrained first-order system least squares (CFOSLS) (2018)
  6. Wang, Kun; Liu, Hui; Luo, Jia; Chen, Zhangxin: Efficient CPR-type preconditioner and its adaptive strategies for large-scale parallel reservoir simulations (2018)
  7. Allen, Jeffery; Leibs, Chris; Manteuffel, Tom; Rajaram, Harihar: A fluidity-based first-order system least-squares method for ice sheets (2017)
  8. 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)
  9. Bui, Quan M.; Elman, Howard C.; Moulton, David J.: Algebraic multigrid preconditioners for multiphase flow in porous media (2017)
  10. Carsten Burstedde, Jose A. Fonseca, Stefan Kollet: Enhancing speed and scalability of the ParFlow simulation code (2017) arXiv
  11. Chávez, Gustavo; Turkiyyah, George; Keyes, David E.: A direct elliptic solver based on hierarchically low-rank Schur complements (2017)
  12. 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)
  13. Delorme, Yann T.; Rodefeld, Mark D.; Frankel, Steven H.: Multiblock high order large eddy simulation of powered fontan hemodynamics: towards computational surgery (2017)
  14. Ganis, Benjamin; Singh, Gurpreet; Wheeler, Mary F.: A parallel framework for a multipoint flux mixed finite element equation of state compositional flow simulator (2017)
  15. Hoover, Alexander P.; Griffith, Boyce E.; Miller, Laura A.: Quantifying performance in the medusan mechanospace with an actively swimming three-dimensional jellyfish model (2017)
  16. 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)
  17. Kim, Eugenia; Lipnikov, Konstantin: The mimetic finite difference method for the Landau-Lifshitz equation (2017)
  18. Koblitz, A. R.; Lovett, S.; Nikiforakis, N.; Henshaw, W. D.: Direct numerical simulation of particulate flows with an overset grid method (2017)
  19. Kong, Fande; Cai, Xiao-Chuan: A scalable nonlinear fluid-structure interaction solver based on a Schwarz preconditioner with isogeometric unstructured coarse spaces in 3D (2017)
  20. la Cour Christensen, Max; Villa, Umberto; Engsig-Karup, Allan P.; Vassilevski, Panayot S.: Numerical multilevel upscaling for incompressible flow in reservoir simulation: an element-based algebraic multigrid (amge) approach (2017)

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