MPI / MPICH Message Passing Interface MPI is the standard message passing protocol. MPICH is a freely available, portable implementation of MPI. MPICH is a joint-effort project between Argonne National Laboratory (Bill Gropp and Rusty Lusk) and Mississippi State University (Tony Skjellum and Nathan Doss). Hubertus Franke of IBM has also made major contributions, as have Ed Karrels and Patrick Bridges (student interns at ANL). The difficult job of getting the spec right was done by the MPI Forum as a whole. (Source:

References in zbMATH (referenced in 162 articles )

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  1. Lee, Kyun Ho: Plume simulation of liquid apogee engine for GEO satellite using parallel DSMC method (2020)
  2. Liang, Bowen; Nagarajan, Anand; Soghrati, Soheil: Scalable parallel implementation of CISAMR: a non-iterative mesh generation algorithm (2019)
  3. Munguía, Lluís-Miquel; Oxberry, Geoffrey; Rajan, Deepak; Shinano, Yuji: Parallel PIPS-SBB: multi-level parallelism for stochastic mixed-integer programs (2019)
  4. Wang, Zhong-Nan; Tyacke, James; Tucker, Paul; Boehning, Peer: Parallel computation of aeroacoustics of industrially relevant complex-geometry aeroengine jets (2019)
  5. Cifani, P.; Kuerten, J. G. M.; Geurts, B. J.: Highly scalable DNS solver for turbulent bubble-laden channel flow (2018)
  6. Deng, Yan; Ahmed, Shabbir; Shen, Siqian: Parallel scenario decomposition of risk-averse 0-1 stochastic programs (2018)
  7. Lee, Kyun Ho: Multi-plume flow simulation of small bipropellant thrusters using parallel DSMC method (2018)
  8. Munguía, Lluís-Miquel; Ahmed, Shabbir; Bader, David A.; Nemhauser, George L.; Shao, Yufen: Alternating criteria search: a parallel large neighborhood search algorithm for mixed integer programs (2018)
  9. Dreossi, Tommaso; Dang, Thao; Piazza, Carla: Reachability computation for polynomial dynamical systems (2017)
  10. Lee, Jason D.; Lin, Qihang; Ma, Tengyu; Yang, Tianbao: Distributed stochastic variance reduced gradient methods by sampling extra data with replacement (2017)
  11. Balyo, Tomáš; Lonsing, Florian: Hordeqbf: A modular and massively parallel QBF solver (2016)
  12. Cifani, P.; Michalek, W. R.; Priems, G. J. M.; Kuerten, J. G. M.; van der Geld, C. W. M.; Geurts, B. J.: A comparison between the surface compression method and an interface reconstruction method for the VOF approach (2016)
  13. Murphy, James T.; Johnson, Mark P.; Viard, Frédérique: A modelling approach to explore the critical environmental parameters influencing the growth and establishment of the invasive seaweed \textitUndariapinnatifida in Europe (2016)
  14. Balyo, Tomáš; Sanders, Peter; Sinz, Carsten: HordeSat: a massively parallel portfolio SAT solver (2015)
  15. Cheng, Meng; Wang, Gang; Mian, Haris Hameed: Reordering of hybrid unstructured grids for an implicit Navier-Stokes solver based on OpenMP parallelization (2015)
  16. Eckstein, Jonathan; Hart, William E.; Phillips, Cynthia A.: PEBBL: an object-oriented framework for scalable parallel branch and bound (2015)
  17. March, William B.; Xiao, Bo; Biros, George: ASKIT: approximate skeletonization kernel-independent treecode in high dimensions (2015)
  18. Menon, Sandeep; Mooney, Kyle G.; Stapf, K. G.; Schmidt, David P.: Parallel adaptive simplical re-meshing for deforming domain CFD computations (2015)
  19. Zerbetto, Mirco; Frezzato, Diego: Multidimensional integration through Markovian sampling under steered function morphing: a physical guise from statistical mechanics (2015)
  20. Dalissier, E.; Guichard, C.; Havé, P.; Masson, R.; Yang, C.: ComPASS: a tool for distributed parallel finite volume discretizations on general unstructured polyhedral meshes (2013)

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