Closed lpantano closed 6 years ago
We've run it on a personal laptop with 16gb RAM without problem.
You could try setting a lower n_top_var_genes
value, tho you should really be more than fine with 64gb with the default settings.
Thanks for the information. I am going to try my personal laptop as well, maybe something is wrong with the cluster or python package installation.
Thanks a lot!
On May 16, 2018, at 10:54 AM, Jonathan Shor notifications@github.com wrote:
We've run it on a personal laptop with 16gb RAM without problem.
You could try setting a lower n_top_var_genes value, tho you should really be more than fine with 64gb with the default settings.
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@lpantano Were you able to figure out the problem?
Hi, Yes, at the end I tried in my computer and it works, but for some reason there is a memory leak or something when running in the linux cluster (I have a macosx). I created a conda environment to install this package, similar to what I did in my machine.
Not sure, if the problem is some package version or the linux machines or what.
thanks!
Hi!
thanks a lot for work on this, it is very useful.
I was trying to work on the example data you have (thanks for doing that example).
I wanted to know how much memory it needs for that data, because I keep getting my job killed by memory issues and I went up to 64G. I want to make sure it is not a problem at my end (job actually not having that memory allocated) or if it really needs more than that.
Thanks a bunch!