References in zbMATH (referenced in 24 articles )

Showing results 1 to 20 of 24.
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  1. Hardin, Thomas J.: Accelerating coupled finite element-kinetic Monte Carlo models: (200 \times) speedup of shear transformation zone dynamics simulations (2019)
  2. 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)
  3. Badia, Santiago; Martín, Alberto F.; Principe, Javier: \textttFEMPAR: an object-oriented parallel finite element framework (2018)
  4. Arndt, Daniel; Bangerth, Wolfgang; Davydov, Denis; Heister, Timo; Heltai, Luca; Kronbichler, Martin; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The deal.II library, version 8.5 (2017)
  5. Benger, Werner; Dobler, Wolfgang: Massive geometric algebra: visions for C++ implementations of geometric algebra to scale into the big data era (2017)
  6. Chang, J.; Karra, S.; Nakshatrala, K. B.: Large-scale optimization-based non-negative computational framework for diffusion equations: parallel implementation and performance studies (2017)
  7. 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)
  8. Miller, Jonah M.; Schnetter, Erik: An operator-based local discontinuous Galerkin method compatible with the BSSN formulation of the Einstein equations (2017)
  9. Ruthotto, Lars; Treister, Eran; Haber, Eldad: jInv -- a flexible Julia package for PDE parameter estimation (2017)
  10. Santiago Badia, Alberto F. Martin, Javier Principe: FEMPAR: An object-oriented parallel finite element framework (2017) arXiv
  11. Bangerth, Wolfgang; Davydov, Denis; Heister, Timo; Heltai, Luca; Kanschat, Guido; Kronbichler, Martin; Maier, Matthias; Turcksin, Bruno; Wells, David: The \textttdeal.II library, version 8.4 (2016)
  12. Drawert, Brian; Trogdon, Michael; Toor, Salman; Petzold, Linda; Hellander, Andreas: MOLNs: a cloud platform for interactive, reproducible, and scalable spatial stochastic computational experiments in systems biology using pyurdme (2016) ioport
  13. Fadeev, Rostislav Yu.; Ushakov, Konstantin V.; Kalmykov, Vladimir V.; Tolstykh, Mikhail A.; Ibrayev, Rashit A.: Coupled atmosphere-ocean model SLAV-INMIO: implementation and first results (2016)
  14. Germaschewski, Kai; Fox, William; Abbott, Stephen; Ahmadi, Narges; Maynard, Kristofor; Wang, Liang; Ruhl, Hartmut; Bhattacharjee, Amitava: The plasma simulation code: a modern particle-in-cell code with patch-based load-balancing (2016)
  15. Patrick Doetsch, Albert Zeyer, Paul Voigtlaender, Ilya Kulikov, Ralf Schlüter, Hermann Ney: RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks (2016) arXiv
  16. Antepara, O.; Lehmkuhl, O.; Borrell, R.; Chiva, J.; Oliva, A.: Parallel adaptive mesh refinement for large-eddy simulations of turbulent flows (2015)
  17. Benda, Jakub; Houfek, Karel: Collisions of electrons with hydrogen atoms. I: Package outline and high energy code (2014)
  18. Hirvijoki, E.; Asunta, O.; Koskela, T.; Kurki-Suonio, T.; Miettunen, J.; Sipilä, S.; Snicker, A.; Äkäslompolo, S.: ASCOT: solving the kinetic equation of minority particle species in tokamak plasmas (2014)
  19. Borrell, Guillem; Sillero, Juan A.; Jiménez, Javier: A code for direct numerical simulation of turbulent boundary layers at high Reynolds numbers in BG/P supercomputers (2013)
  20. Finch, Craig; Clarke, Thomas; Hickman, James J.: A continuum hard-sphere model of protein adsorption (2013)

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