Dakota Reference Manual: processors_per_analysis

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processors_per_analysis

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

## Topics

This keyword is related to the topics:

- concurrency_and_parallelism

## Specification

Alias: none

Argument(s): 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 chapter of the Users Manual [4]) 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.