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 71 articles )

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  1. Berrone, S.; Scialò, S.; Vicini, F.: Parallel meshing, discretization, and computation of flow in massive discrete fracture networks (2019)
  2. 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)
  3. Grosheintz-Laval, L.; Käppeli, R.: High-order well-balanced finite volume schemes for the Euler equations with gravitation (2019)
  4. 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)
  5. Sanders, Peter; Mehlhorn, Kurt; Dietzfelbinger, Martin; Dementiev, Roman: Sequential and parallel algorithms and data structures. The basic toolbox (2019)
  6. Hu, Guanghui; Meng, Xucheng; Tang, Tao: On robust and adaptive finite volume methods for steady Euler equations (2018)
  7. Lee, Sanghyun; Wheeler, Mary F.: Enriched Galerkin methods for two-phase flow in porous media with capillary pressure (2018)
  8. Trobec, Roman; Slivnik, Boštjan; Bulić, Patricio; Robič, Borut: Introduction to parallel computing. From algorithms to programming on state-of-the-art platforms (2018)
  9. Zhang, Chenglong; Gamba, Irene M.: A conservative discontinuous Galerkin solver for the space homogeneous Boltzmann equation for binary interactions (2018)
  10. Capodaglio, Giacomo; Aulisa, Eugenio: A particle tracking algorithm for parallel finite element applications (2017)
  11. Lee, Sanghyun; Wheeler, Mary F.: Adaptive enriched Galerkin methods for miscible displacement problems with entropy residual stabilization (2017)
  12. Marić, Tomislav: Lagrangian/Eulerian numerical methods for fluid interface advection on unstructured meshes (2017)
  13. 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
  14. Zhang, Chenglong; Gamba, Irene M.: A conservative scheme for Vlasov Poisson Landau modeling collisional plasmas (2017)
  15. Zheng, Shun; Wang, Jialei; Xia, Fen; Xu, Wei; Zhang, Tong: A general distributed dual coordinate optimization framework for regularized loss minimization (2017)
  16. Farkaš, Tomáš; Kubán, Peter; Lucká, Mária: Effective parallel multicore-optimized k-mers counting algorithm (2016)
  17. Lee, Sanghyun; Lee, Young-Ju; Wheeler, Mary F.: A locally conservative enriched Galerkin approximation and efficient solver for elliptic and parabolic problems (2016)
  18. Meiyue Shao, Chao Yang: BSEPACK User’s Guide (2016) arXiv
  19. Newman, Christopher; Womeldorff, Geoffrey; Knoll, Dana A.; Chacón, Luis: A communication-avoiding implicit-explicit method for a free-surface ocean model (2016)
  20. Steven Eliuk, Cameron Upright, Hars Vardhan, Stephen Walsh, Trevor Gale: dMath: Distributed Linear Algebra for DL (2016) arXiv

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