p4est

p4est: Parallel AMR on Forests of Octrees. The p4est software library enables the dynamic management of a collection of adaptive octrees, conveniently called a forest of octrees. p4est is designed to work in parallel and scale to hundreds of thousands of processor cores. We explain the concepts and algorithms behind p4est in this article.


References in zbMATH (referenced in 81 articles , 1 standard article )

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  1. Egan, Raphael; Gibou, Frédéric: xGFM: recovering convergence of fluxes in the ghost fluid method (2020)
  2. Moxey, David; Amici, Roman; Kirby, Mike: Efficient matrix-free high-order finite element evaluation for simplicial elements (2020)
  3. Offermans, N.; Peplinski, A.; Marin, O.; Schlatter, P.: Adaptive mesh refinement for steady flows in Nek5000 (2020)
  4. Wheeler, Mary F.; Wick, Thomas; Lee, Sanghyun: IPACS: integrated phase-field advanced crack propagation simulator. An adaptive, parallel, physics-based-discretization phase-field framework for fracture propagation in porous media (2020)
  5. Zhao, Yidong; Choo, Jinhyun: Stabilized material point methods for coupled large deformation and fluid flow in porous materials (2020)
  6. Arndt, Daniel; Bangerth, Wolfgang; Clevenger, Thomas C.; Davydov, Denis; Fehling, Marc; Garcia-Sanchez, Daniel; Harper, Graham; Heister, Timo; Heltai, Luca; Kronbichler, Martin; Kynch, Ross Maguire; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The deal.II library, Version 9.1 (2019)
  7. Burstedde, Carsten; Holke, Johannes; Isaac, Tobin: On the number of face-connected components of Morton-type space-filling curves (2019)
  8. Cerveny, Jakub; Dobrev, Veselin; Kolev, Tzanio: Nonconforming mesh refinement for high-order finite elements (2019)
  9. Fernando, Milinda; Neilsen, David; Lim, Hyun; Hirschmann, Eric; Sundar, Hari: Massively parallel simulations of binary black hole intermediate-mass-ratio inspirals (2019)
  10. Freret, L.; Ivan, L.; De Sterck, H.; Groth, C. P. T.: High-order finite-volume method with block-based AMR for magnetohydrodynamics flows (2019)
  11. Ganis, Benjamin; Pencheva, Gergina; Wheeler, Mary F.: Adaptive mesh refinement with an enhanced velocity mixed finite element method on semi-structured grids using a fully coupled solver (2019)
  12. Siripatana, A.; Giraldi, L.; Le Maître, O. P.; Knio, O. M.; Hoteit, I.: Combining ensemble Kalman filter and multiresolution analysis for efficient assimilation into adaptive mesh models (2019)
  13. S.Schoeder; W.A.Wall; M.Kronbichler: ExWave: A high performance discontinuous Galerkin solver for the acoustic wave equation (2019) not zbMATH
  14. Weinzierl, Tobias: The Peano software -- parallel, automaton-based, dynamically adaptive grid traversals (2019)
  15. Zhang, Qi; Choo, Jinhyun; Borja, Ronaldo I.: On the preferential flow patterns induced by transverse isotropy and non-Darcy flow in double porosity media (2019)
  16. Alzetta, Giovanni; Arndt, Daniel; Bangerth, Wolfgang; Boddu, Vishal; Brands, Benjamin; Davydov, Denis; Gassmöller, Rene; Heister, Timo; Heltai, Luca; Kormann, Katharina; Kronbichler, Martin; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The deal.II library, version 9.0 (2018)
  17. Badia, Santiago; Martín, Alberto F.; Principe, Javier: \textttFEMPAR: an object-oriented parallel finite element framework (2018)
  18. Brauss, K. D.; Meir, A. J.: On a parallel, 3-dimensional, finite element solver for viscous, resistive, stationary magnetohydrodynamics equations: velocity-current formulation (2018)
  19. Burstedde, Carsten; Fonseca, Jose A.; Kollet, Stefan: Enhancing speed and scalability of the ParFlow simulation code (2018)
  20. Choo, Jinhyun; Lee, Sanghyun: Enriched Galerkin finite elements for coupled poromechanics with local mass conservation (2018)

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