Python/ Running time: Why do I get different running time each time I solve my model?

Ongoing

Mahdis Bayani

September 01, 2020 18:09

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Hi,

I have a simple BQP model coded in python and solved by gurobi. But each time I run it, although the solution and obj value are the same, the running time varies even to 25% in some instances. I also have a simple LP model which results in the same problem. I check out the time with both model.Runtime and time.time() and both of them change in iterations of running the code for each specific instance. When I check the gurobi log, I see the logs are quite different each time I run the model. I wonder if I need to fix something to get consistent running time. I would add I have the same problem either running on my computer or in a shared cluster.

I appreciate any assistance.  

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• Official comment

  

  Simranjit Kaur

  • Gurobi Staff

  December 06, 2024 00:42

  This post is more than three years old. Some information may not be up to date. For current information, please check the Gurobi Documentation or Knowledge Base. If you need more help, please create a new post in the community forum. Or why not try our AI Gurobot?.
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  Jaromił Najman

  • Gurobi Staff

  September 02, 2020 07:56

  Hi,

  Could you share the logs of a run with different runtimes on your computer?

  Please note that when running on a shared cluster, differences in runtimes are to be expected except for the case when you are able to reserve a cluster node for your computation only.

  Please also have a look at our knowledge base articles on determinism, performance on different machines, and fingerprint as these may hold the answer for your question.

  Best regards,
  Jaromił

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  Matthias Miltenberger

  • Gurobi Staff

  September 02, 2020 09:39

  duplicate of this Stackoverflow question

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