Running a Distributed Algorithm as an Interactive Job

To give an example, if you have a cluster consisting of two machines (server1 and server2), and if you set TuneJobs to 2 in grbtune ...

> grbtune TuneJobs=2 misc07.mps
...you should see output that looks like the following:
Capacity available on 'server1:61000' - connecting...
...
Using Compute Server as first worker
Started distributed worker on server2:61000

Distributed tuning: launched 2 distributed worker jobs
This output indicates that two worker jobs have been launched, one on machine server1 and the other on machine server2. These two jobs will continue to run until your tuning run completes.

Similarly, if you launch distributed MIP ...

> gurobi_cl DistributedMIPJobs=2 misc07.mps
...you should see the following output in the log:
Using Compute Server as first worker
Started distributed worker on server2:61000

Distributed MIP job count: 2

Try Gurobi for Free

Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.

Evaluation License
Get a free, full-featured license of the Gurobi Optimizer to experience the performance, support, benchmarking and tuning services we provide as part of our product offering.
Academic License
Gurobi supports the teaching and use of optimization within academic institutions. We offer free, full-featured copies of Gurobi for use in class, and for research.
Cloud Trial

Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.

Search