pcl

UG 4: A novel flexible software system for simulating PDE based models on high performance computers ... As a base for the Parallelization the Parallel Communication Layer (pcl) is used. It is a very light-weight library to provide communication between arbitrary objects and is used to parallelize the grid and the algebra. Though both parallelizations are independent, a lot of code can be reused by use of the abstract layer. Details are found in Sect. 6.


References in zbMATH (referenced in 18 articles )

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  1. Bastian, Peter; Blatt, Markus; Dedner, Andreas; Dreier, Nils-Arne; Engwer, Christian; Fritze, René; Gräser, Carsten; Grüninger, Christoph; Kempf, Dominic; Klöfkorn, Robert; Ohlberger, Mario; Sander, Oliver: The \textscDuneframework: basic concepts and recent developments (2021)
  2. Breit, Markus; Queisser, Gillian: The necessary modeling detail for neuronal signaling: Poisson-Nernst-Planck and cable equation models in one and three dimensions (2021)
  3. Höllbacher, Susanne; Wittum, Gabriel: A sharp interface method using enriched finite elements for elliptic interface problems (2021)
  4. Höllbacher, Susanne; Wittum, Gabriel: Gradient-consistent enrichment of finite element spaces for the DNS of fluid-particle interaction (2020)
  5. Litvinenko, Alexander; Logashenko, Dmitry; Tempone, Raul; Wittum, Gabriel; Keyes, David: Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability (2020)
  6. Reutzsch, Jonathan; Kieffer-Roth, Corine; Weigand, Bernhard: A consistent method for direct numerical simulation of droplet evaporation (2020)
  7. Wittum, Rebecca; Naegel, Arne; Heisig, Michael; Wittum, Gabriel: Mathematical modelling of the viable epidermis: impact of cell shape and vertical arrangement (2020)
  8. Höllbacher, Susanne; Wittum, Gabriel: Rotational test spaces for a fully-implicit FVM and FEM for the DNS of fluid-particle interaction (2019)
  9. Breit, Markus; Queisser, Gillian: What is required for neuronal calcium waves? A numerical parameter study (2018)
  10. Knodel, Markus M.; Lemke, Babett; Lampe, Michael; Hoffer, Michael; Gillmann, Clarissa; Uder, Michael; Hillengaß, Jens; Wittum, Gabriel; Bäuerle, Tobias: Virtual reality in advanced medical immersive imaging: a workflow for introducing virtual reality as a supporting tool in medical imaging (2018)
  11. Grillo, Alfio; Prohl, Raphael; Wittum, Gabriel: A poroplastic model of structural reorganisation in porous media of biomechanical interest (2016)
  12. Grasedyck, Lars; Kriemann, Ronald; Löbbert, Christian; Nägel, Arne; Wittum, Gabriel; Xylouris, Konstantinos: Parallel tensor sampling in the hierarchical Tucker format (2015)
  13. Knodel, Markus M.; Nägel, Arne; Reiter, Sebastian; Rupp, Martin; Vogel, Andreas; Targett-Adams, Paul; Herrmann, Eva; Wittum, Gabriel: Multigrid analysis of spatially resolved hepatitis C virus protein simulations (2015)
  14. Kreienbuehl, Andreas; Naegel, Arne; Ruprecht, Daniel; Speck, Robert; Wittum, Gabriel; Krause, Rolf: Numerical simulation of skin transport using Parareal (2015)
  15. Nägel, Arne; Schulz, Volker; Siebenborn, Martin; Wittum, Gabriel: Scalable shape optimization methods for structured inverse modeling in 3D diffusive processes (2015)
  16. Nägel, Arne; Vogel, Andreas; Wittum, Gabriel: Evaluating linear and nonlinear solvers for density driven flow (2015)
  17. Reiter, Sebastian; Vogel, Andreas; Heppner, Ingo; Rupp, Martin; Wittum, Gabriel: A massively parallel geometric multigrid solver on hierarchically distributed grids (2013)
  18. Vogel, Andreas; Reiter, Sebastian; Rupp, Martin; Nägel, Arne; Wittum, Gabriel: \textitUG4: a novel flexible software system for simulating PDE based models on high performance computers (2013)