processors_per_analysis

Specify the number of processors per analysis when Dakota is run in parallel

Topics

concurrency_and_parallelism

Specification

  • Alias: None

  • Arguments: INTEGER

  • Default: automatic (see discussion)

Description

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 section) 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.