### Abstract

We give several simple and efficient algorithms: for simulations of stronger GROW PRAMs on weaker ones. The models that we consider are the well-known PRIORITY, ARBITRARY and COMMON PRAMs, and COLLISION and COLLISION^{+}, defined by the property that a special collision symbol is stored in each memory cell into which more than one processor attempts to write, or more than one value is attempted to be written, respectively, in a given step. Our results are the following, where n denotes the number of processors of the simulated PRAM: 1) A O(1)-time simulation between any pair of models, provided that the simulating machine has O(n log n) processors; 2) Two n-processor simulations: of PRIORITY on ARBITRARY with O(loglog n) slowdown, and of PRIORITY on COLLISION^{+} with 2 O((loglog n)^{2}) slowdown.

Original language | English (US) |
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Title of host publication | Mathematical Foundations of Computer Science 1988 - Proceedings of the 13th Symposium |

Editors | Michal P. Chytil, Vaclav Koubek, Ladislav Janiga |

Publisher | Springer Verlag |

Pages | 231-239 |

Number of pages | 9 |

ISBN (Print) | 9783540501107 |

DOIs | |

State | Published - Jan 1 1988 |

Externally published | Yes |

Event | 13th Symposium on Mathematical Foundations of Computer Science, MFCS 1988 - Carlsbad, Serbia Duration: Aug 29 1988 → Sep 2 1988 |

### Publication series

Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 324 LNCS |

ISSN (Print) | 0302-9743 |

ISSN (Electronic) | 1611-3349 |

### Conference

Conference | 13th Symposium on Mathematical Foundations of Computer Science, MFCS 1988 |
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Country | Serbia |

City | Carlsbad |

Period | 8/29/88 → 9/2/88 |

### ASJC Scopus subject areas

- Theoretical Computer Science
- Computer Science(all)

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## Cite this

*Mathematical Foundations of Computer Science 1988 - Proceedings of the 13th Symposium*(pp. 231-239). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 324 LNCS). Springer Verlag. https://doi.org/10.1007/BFb0017146