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 46 articles )

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  1. Lee, Sanghyun; Lee, Young-Ju; Wheeler, Mary F.: A locally conservative enriched Galerkin approximation and efficient solver for elliptic and parabolic problems (2016)
  2. Newman, Christopher; Womeldorff, Geoffrey; Knoll, Dana A.; Chacón, Luis: A communication-avoiding implicit-explicit method for a free-surface ocean model (2016)
  3. Bowman, John C.; Roberts, Malcolm: Adaptive matrix transpose algorithms for distributed multicore processors (2015)
  4. Eckstein, Jonathan; Hart, William E.; Phillips, Cynthia A.: PEBBL: an object-oriented framework for scalable parallel branch and bound (2015)
  5. Kozma, Attila; Conte, Christian; Diehl, Moritz: Benchmarking large-scale distributed convex quadratic programming algorithms (2015)
  6. Vermeire, Brian C.; Nadarajah, Siva: Adaptive IMEX schemes for high-order unstructured methods (2015)
  7. Wiens, Jeffrey K.; Stockie, John M.: An efficient parallel immersed boundary algorithm using a pseudo-compressible fluid solver (2015)
  8. Kredel, Heinz: Generic and parallel groebner bases in JAS (extended abstract) (2014)
  9. Abdulle, Assyr; Barth, Andrea; Schwab, Christoph: Multilevel Monte Carlo methods for stochastic elliptic multiscale PDEs (2013)
  10. Ahmed, Shabbir: A scenario decomposition algorithm for 0-1 stochastic programs (2013)
  11. Artemchuk, Sergey; Whitlock, Paula A.: Parallelization and optimization of 4D binary mixture Monte Carlo simulations using Open MPI and CUDA (2013)
  12. Basturk, Alper; Akay, Rustu: Performance analysis of the coarse-grained parallel model of the artificial bee colony algorithm (2013)
  13. Bland, Wesley; Bouteiller, Aurelien; Herault, Thomas; Hursey, Joshua; Bosilca, George; Dongarra, Jack J.: An evaluation of user-level failure mitigation support in MPI (2013)
  14. Basturk, Alper; Akay, Rustu: Parallel implementation of synchronous type artificial bee colony algorithm for global optimization (2012)
  15. De La Asunción, Marc; Mantas, José M.; Castro, Manuel J.; Fernández-Nieto, E.D.: An MPI-CUDA implementation of an improved roe method for two-layer shallow water systems (2012)
  16. Hursey, Joshua; Graham, Richard L.: Analyzing fault aware collective performance in a process fault tolerant MPI (2012)
  17. Shi, Justin Y.; Taifi, Moussa; Khreishah, Abdallah; Wu, Jie: Tuple switching network-when slower may be better (2012)
  18. Zahavi, Eitan: Fat-tree routing and node ordering providing contention free traffic for MPI global collectives (2012)
  19. Alonso, Pedro; Bernabéu, Miguel O.; García, Victor M.; Vidal, Antonio M.: Implementation and tuning of a parallel symmetric Toeplitz eigensolver (2011)
  20. Dias, Jonas; Aveleda, Albino: HPC environment management: new challenges in the petaflop era (2011)

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