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 63 articles )

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  1. 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)
  2. Hu, Guanghui; Meng, Xucheng; Tang, Tao: On robust and adaptive finite volume methods for steady Euler equations (2018)
  3. Zhang, Chenglong; Gamba, Irene M.: A conservative discontinuous Galerkin solver for the space homogeneous Boltzmann equation for binary interactions (2018)
  4. Capodaglio, Giacomo; Aulisa, Eugenio: A particle tracking algorithm for parallel finite element applications (2017)
  5. Lee, Sanghyun; Wheeler, Mary F.: Adaptive enriched Galerkin methods for miscible displacement problems with entropy residual stabilization (2017)
  6. Marić, Tomislav: Lagrangian/Eulerian numerical methods for fluid interface advection on unstructured meshes (2017)
  7. Zhang, Chenglong; Gamba, Irene M.: A conservative scheme for Vlasov Poisson Landau modeling collisional plasmas (2017)
  8. Zheng, Shun; Wang, Jialei; Xia, Fen; Xu, Wei; Zhang, Tong: A general distributed dual coordinate optimization framework for regularized loss minimization (2017)
  9. Farkaš, Tomáš; Kubán, Peter; Lucká, Mária: Effective parallel multicore-optimized k-mers counting algorithm (2016)
  10. Lee, Sanghyun; Lee, Young-Ju; Wheeler, Mary F.: A locally conservative enriched Galerkin approximation and efficient solver for elliptic and parabolic problems (2016)
  11. Meiyue Shao, Chao Yang: BSEPACK User’s Guide (2016) arXiv
  12. Newman, Christopher; Womeldorff, Geoffrey; Knoll, Dana A.; Chacón, Luis: A communication-avoiding implicit-explicit method for a free-surface ocean model (2016)
  13. Steven Eliuk, Cameron Upright, Hars Vardhan, Stephen Walsh, Trevor Gale: dMath: Distributed Linear Algebra for DL (2016) arXiv
  14. Bowman, John C.; Roberts, Malcolm: Adaptive matrix transpose algorithms for distributed multicore processors (2015)
  15. Eckstein, Jonathan; Hart, William E.; Phillips, Cynthia A.: PEBBL: an object-oriented framework for scalable parallel branch and bound (2015)
  16. John, Benzi; Emerson, David R.; Gu, Xiao-Jun: Parallel Navier-Stokes simulations for high speed compressible flow past arbitrary geometries using FLASH (2015)
  17. Kozma, Attila; Conte, Christian; Diehl, Moritz: Benchmarking large-scale distributed convex quadratic programming algorithms (2015)
  18. Vermeire, Brian C.; Nadarajah, Siva: Adaptive IMEX schemes for high-order unstructured methods (2015)
  19. Wiens, Jeffrey K.; Stockie, John M.: An efficient parallel immersed boundary algorithm using a pseudo-compressible fluid solver (2015)
  20. Aamir Shafi, Aleem Akhtar, Ansar Javed, Bryan Carpenter: Teaching Parallel Programming Using Java (2014) arXiv

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