Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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Specify the number of processors per analysis when Dakota is run in parallel


This keyword is related to the topics:


Alias: none

Argument(s): INTEGER

Default: automatic (see discussion)


For direct function interfaces, processors_per_analysis can be used to specify multiprocessor analysis partitions. As with the evaluation_servers, analysis_servers, evaluation_self_scheduling, evaluation_static_scheduling, analysis_self_scheduling, and analysis_static_scheduling specifications, processors_per_analysis provides a means for the user to override the automatic parallel configuration (refer to ParallelLibrary and the Parallel Computing chapter of the Users Manual [5]) for the number of processors used for each analysis partition.

Usage Tips

  • If both analysis_servers and processors_per_analysis are specified and they are not in agreement, then analysis_servers takes precedence.