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Paper Details

@InProceedings{XuTurner89,
  title = "{A}n {I}rregular {D}istributed {S}imulation {P}roblem with a {D}ynamic {L}ogical {P}rocess {S}tructure",
  author= "Xu, Ming Q. and Turner, Stephen J. and Pin, Nie",
  editor= "Wexler, J.",
  pages = "69--79",
  booktitle= "{OUG}-11: {D}eveloping {T}ransputer {A}pplications",
  isbn= "90 5199 020 0",
  year= "1989",
  month= "sep",
  abstract= "This paper describes a modeling problem which exhibits many
     features of more advanced distributed simulation: the
     simulation of biological population dynamics —
     \"Host-parasite interactions\". It is a dynamical
     simulation in which certain species of hosts and parasites
     live, move randomly, breed and (as far as parasites are
     concerned) infect the hosts in a two-dimensional ocean.
     Apart from its relevance to realistic biological studies,
     this simulation program does serve to illustrate many
     crucial ideas in dynamic time and event driven simulations.
     Our approach to the parallel implementation of this
     simulation requires the simulation objects (in this case,
     hosts and parasites) to be organised as LPs (Logical
     Processes) which can be created and destroyed dynamically at
     run time to reflect the birth/death of these simulation
     objects. In addition to their dynamical features, LPs must
     preserve the temporal aspects of the real world system. In
     other words, a global ordering of LP interactions (referred
     to here as actions) must be ensured to preserve the
     causality principle [1]. Also, the computational load can
     become imbalanced because the real world system or rather,
     the distribution of hosts and parasites in the underlying
     space is changing with time. The methods for counteracting
     this dynamical load imbalance will be described.We shall
     begin with the specification of the dynamical rules
     governing the behaviour of the hosts and parasites during
     the simulation."
}

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