Gurobi: Difference between revisions

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==Using Gurobi Within an Interactive Shell == <!--T:6-->
==Using Gurobi Within an Interactive Shell == <!--T:6-->


[gra-login2:~] salloc --time=1:00:0 --cpus-per-task=4 --mem=4000 --account=def-xyz
[gra-login2:~] salloc --time=1:00:0 --cpus-per-task=8 --mem=4000 --account=def-xyz
 
[gra800:~] module load gurobi  
[gra800:~] module load gurobi
[gra800:~] gurobi.sh
 
gurobi> m = read('/cvmfs/restricted.computecanada.ca/easybuild/software/2017/Core/gurobi/8.1.1/examples/data/glass4')
[gra800:~] gurobi.sh
gurobi> m.setParam('Threads', 8)
 
gurobi> m.optimize()
gurobi>
gurobi> m.reset()
gurobi> m.optimize()
gurobi> m.tune()
gurobi> help()

Revision as of 19:22, 29 November 2019

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Gurobi is a commercial software suite for solving complex optimization problems. This page wiki page describes the non-commercial use of Gurobi software on Compute Canada clusters and is currently a work in progress.

License limitations

Compute Canada supports and provides a free license to use Gurobi Graham, Cedar, Beluga and Niagara clusters. The license provides a total number of 4096 simultaneous uses (tokens in use) and permits distributed usage. A single user can run multiple simultaneous jobs. In order to use Gurobi you must agree to certain conditions. Please contact support with a copy of the following statement. You will then be added into the Compute Canada license file as a permitted user.

My Compute Canada username is "_______" and I am a member of the institution "________________". This message confirms that I will be using the Compute Canada Gurobi > license on Compute Canada systems only for non-commercial research project(s) that will be published in a publicly available article(s).


Using Gurobi Within an Interactive Shell

[gra-login2:~] salloc --time=1:00:0 --cpus-per-task=8 --mem=4000 --account=def-xyz
[gra800:~] module load gurobi 
[gra800:~] gurobi.sh
gurobi> m = read('/cvmfs/restricted.computecanada.ca/easybuild/software/2017/Core/gurobi/8.1.1/examples/data/glass4') 
gurobi> m.setParam('Threads', 8)
gurobi> m.optimize()
gurobi> m.reset()
gurobi> m.optimize()
gurobi> m.tune()
gurobi> help()