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ConcurrentMIPJobs
Distributed concurrent MIP job count
| Type: | int |
|---|---|
| Default value: | 0 |
| Minimum value: | 0 |
| Maximum value: | MAXINT |
Enables distributed concurrent MIP. A value of n causes the
MIP solver to create n independent MIP models, using different
parameter settings for each. Each of these models is sent to a
compute server for processing. Optimization terminates when the first
solve completes. Use the
ServerPool parameter to
provide a list of available compute servers.
By default, Gurobi chooses the parameter settings used for each independent solve automatically. You can create concurrent environments to choose your own parameter settings (refer to the concurrent optimization section for details). The intent of concurrent MIP solving is to introduce additional diversity into the MIP search. By bringing the resources of multiple machines to bear on a single model, this approach can sometimes solve models much faster than a single machine.
The distributed concurrent MIP solver produces a slightly different log from the standard MIP solver, and provides different callbacks as well. Please refer to the Compute Server discussion for additional details.
Note: Only affects mixed integer programming (MIP) models
