A High Performance Message Passing Library. The Open MPI Project is an open source Message Passing Interface implementation that is developed and maintained by a consortium of academic, research, and industry partners. Open MPI is therefore able to combine the expertise, technologies, and resources from all across the High Performance Computing community in order to build the best MPI library available. Open MPI offers advantages for system and software vendors, application developers and computer science researchers.

References in zbMATH (referenced in 81 articles )

Showing results 1 to 20 of 81.
Sorted by year (citations)

1 2 3 4 5 next

  1. Jose Manuel López; Daniel Feldmann; Markus Rampp; Alberto Vela-Martín; Liang Shie; Marc Avila: nsCouette - A high-performance code for direct numerical simulations of turbulent Taylor-Couette flow (2020) not zbMATH
  2. Junttila, Tommi; Karppa, Matti; Kaski, Petteri; Kohonen, Jukka: An adaptive prefix-assignment technique for symmetry reduction (2020)
  3. Li, Zhiyong; Zhang, Huaibao; Liu, Yu; McDonough, James M.: Implementation of compressible porous-fluid coupling method in an aerodynamics and aeroacoustics code. I: Laminar flow (2020)
  4. Balashov, V. A.; Savenkov, E. B.; Chetverushkin, B. N.: DiMP-hydro solver for direct numerical simulation of fluid microflows within pore space of core samples (2019)
  5. Berrone, S.; Scialò, S.; Vicini, F.: Parallel meshing, discretization, and computation of flow in massive discrete fracture networks (2019)
  6. Ferreira, Gabriel G. S.; Lage, Paulo L. C.; Silva, Luiz Fernando L. R.; Jasak, Hrvoje: Implementation of an implicit pressure-velocity coupling for the Eulerian multi-fluid model (2019)
  7. Grosheintz-Laval, L.; Käppeli, R.: High-order well-balanced finite volume schemes for the Euler equations with gravitation (2019)
  8. Muela, J.; Borrell, R.; Ventosa-Molina, J.; Jofre, L.; Lehmkuhl, O.; Pérez-Segarra, C. D.: A dynamic load balancing method for the evaluation of chemical reaction rates in parallel combustion simulations (2019)
  9. Sanders, Peter; Mehlhorn, Kurt; Dietzfelbinger, Martin; Dementiev, Roman: Sequential and parallel algorithms and data structures. The basic toolbox (2019)
  10. Damiand, Guillaume; Gonzalez-Lorenzo, Aldo; Zara, Florence; Dupont, Florent: Distributed combinatorial maps for parallel mesh processing (2018)
  11. Deng, Yan; Ahmed, Shabbir; Shen, Siqian: Parallel scenario decomposition of risk-averse 0-1 stochastic programs (2018)
  12. Hu, Guanghui; Meng, Xucheng; Tang, Tao: On robust and adaptive finite volume methods for steady Euler equations (2018)
  13. Lee, Sanghyun; Wheeler, Mary F.: Enriched Galerkin methods for two-phase flow in porous media with capillary pressure (2018)
  14. Popuri, Sai K.; Raim, Andrew M.; Neerchal, Nagaraj K.; Gobbert, Matthias K.: Parallelizing computation of expected values in recombinant binomial trees (2018)
  15. Zhang, Chenglong; Gamba, Irene M.: A conservative discontinuous Galerkin solver for the space homogeneous Boltzmann equation for binary interactions (2018)
  16. Capodaglio, Giacomo; Aulisa, Eugenio: A particle tracking algorithm for parallel finite element applications (2017)
  17. Hübner, Jens; Schmidt, Martin; Steinbach, Marc C.: A distributed interior-point KKT solver for multistage stochastic optimization (2017)
  18. Lee, Sanghyun; Wheeler, Mary F.: Adaptive enriched Galerkin methods for miscible displacement problems with entropy residual stabilization (2017)
  19. Marić, Tomislav: Lagrangian/Eulerian numerical methods for fluid interface advection on unstructured meshes (2017)
  20. Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica: Ray: A Distributed Framework for Emerging AI Applications (2017) arXiv

1 2 3 4 5 next

Further publications can be found at: