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
• batch : Perform evaluations in batches
• size : Limit the number of evaluations in a batch
• 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
• 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