-
Notifications
You must be signed in to change notification settings - Fork 0
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Stuck? #12
Comments
Hi, the ML option is extremely slow. Also, I see that you are using 64 cpus. Broccoli analyses 1 proteome per cpu/thread -> there is no need to use more cpu than the number of species to be analysed. For 40 species, I would use max 20 threads (generally 8 cpus). nb: I think both of these things are mentioned in the manual. Hope that helps! |
Hi Romain, That's odd because I used ML option on previous runs, maybe I'm using too many cpus and it causing Broccoli to run ever slower. |
Hi Romain, I confirm you, it was the number of CPUs that was slowing down the process. |
@rderelle I had the same issue. Switching to using 8 threads fixed it, but made the step 1 and 2 slower. Is it possible to set a different (higher) number of threads for step 1, 2 than for step 3? |
Hi,
It's days that Broccoli is running like this during step 3:
Why is that?
Thanks
F
The text was updated successfully, but these errors were encountered: