Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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concurrency_and_parallelism

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Related Topics

Related Keywords

  • processors_per_analysis : Specify the number of processors per analysis when Dakota is run in parallel
  • analysis_scheduling : Specify the scheduling of concurrent analyses when Dakota is run in parallel
  • master : Specify a dedicated master partition for parallel analysis scheduling
  • peer : Specify a peer partition for parallel analysis scheduling
  • analysis_servers : Specify the number of analysis servers when Dakota is run in parallel
  • asynchronous : Specify local evaluation or analysis concurrency
  • analysis_concurrency : Limit the number of analysis drivers within an evaluation that Dakota will schedule
  • evaluation_concurrency : Determine how many concurrent evaluations Dakota will schedule
  • local_evaluation_scheduling : Control how local asynchronous jobs are scheduled
  • master : Specify a dedicated master partition for parallel evaluation scheduling
  • peer : Specify a peer partition for parallel evaluation scheduling
  • dynamic : Specify dynamic scheduling in a peer partition when Dakota is run in parallel.
  • static : Specify static scheduling in a peer partition when Dakota is run in parallel.
  • evaluation_servers : Specify the number of evaluation servers when Dakota is run in parallel
  • processors_per_evaluation : Specify the number of processors per evaluation server when Dakota is run in parallel
  • iterator_scheduling : Specify the scheduling of concurrent iterators when Dakota is run in parallel
  • master : Specify a dedicated master partition for parallel iterator scheduling
  • peer : Specify a peer partition for parallel iterator scheduling
  • iterator_servers : Specify the number of iterator servers when Dakota is run in parallel
  • processors_per_iterator : Specify the number of processors per iterator server when Dakota is run in parallel
  • iterator_scheduling : Specify the scheduling of concurrent iterators when Dakota is run in parallel
  • master : Specify a dedicated master partition for parallel iterator scheduling
  • peer : Specify a peer partition for parallel iterator scheduling
  • iterator_servers : Specify the number of iterator servers when Dakota is run in parallel
  • processors_per_iterator : Specify the number of processors per iterator server when Dakota is run in parallel
  • iterator_scheduling : Specify the scheduling of concurrent iterators when Dakota is run in parallel
  • master : Specify a dedicated master partition for parallel iterator scheduling
  • peer : Specify a peer partition for parallel iterator scheduling
  • iterator_servers : Specify the number of iterator servers when Dakota is run in parallel
  • processors_per_iterator : Specify the number of processors per iterator server when Dakota is run in parallel
  • iterator_scheduling : Specify the scheduling of concurrent iterators when Dakota is run in parallel
  • master : Specify a dedicated master partition for parallel iterator scheduling
  • peer : Specify a peer partition for parallel iterator scheduling
  • iterator_servers : Specify the number of iterator servers when Dakota is run in parallel
  • processors_per_iterator : Specify the number of processors per iterator server when Dakota is run in parallel