Dakota Reference Manual: concurrency_and_parallelism

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concurrency_and_parallelism

## Description

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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