Hi Team,
I am running 6 scenarios (4 replications each) for 6 months using experimenter. I have observed run speed is fast for 25% of the run length (Taking around 30 min) in 4 parallel replication. Then it is slow for remaining 75% run length (taking around 3 hours).
I would like to know if there is any specific reason for it.
Is there any way to speed up the process?
Thank you!
You need much more memory. Your System transfers at some point data from Cache to RAM and from RAM to drives. This slows it down.
Best would be you could compute your experiments completely in RAM. Only results and dashboard data are stored on drives.
Another possibility is that your model gets slower as it runs. If you have more than 20% of your RAM available and you still see the slowdown, then it is a model issue. There are many operations in a model that get slower depending on the number of items in the model. For example, using an ORDER BY statement in a Pull from List can go quickly when there are few things on the list but take much longer when more things are on the list.
Hi @Ankur A3, was one of Jeanette F's or Joerg Vogel's answers helpful? If so, please click the "Accept" button at the bottom of the one that best answers your question. Or if you still have questions, add a comment and we'll continue the conversation.
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You can reduce number of experiments running simultaneously. Please identify the number of experiments that you can run simultaneously with least time. You can limit the number of CPU cores in experiment setting for that. Maybe you can accelerate your experiment if your system must not swap data between RAM and drive space to often.
Like @Joerg Vogel mentioned, this could be a memory issue.
If you check your task manager while you run the simulation I assume you will see your RAM being maxed out. A solution for would be to see if your RAM could be upgraded.
If you see that your CPU is having problems then maybe the following article will be helpful for you.
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