-
Notifications
You must be signed in to change notification settings - Fork 47
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
Speed up with multiprocessing #29
Comments
I will work on it if you tell me in what file i should look and maybe even what function. |
Hi @ChinoCodeDemon, Sorry for the delayed response! The two calculation loops that are expensive and could be computed in parallel are:
Not sure what you mean by this, I would expect some effort is put into ensuring the implementation is robust, even if it's just a simple test that compares the results from the parallel method to those determined from a simple |
I cannot open a GUI since I work with containers. |
I created a draft pr #37 which still is heavily work in progress. |
…ts_lists() in results
Is your feature request related to a problem? Please describe.
Biaxial bending diagrams and to a lesser extent, interaction diagrams, can take a long time to generate. Both of these features involve a number of independent calculations, currently implemented in a for loop.
Describe the solution you'd like
Using the python
multiprocessing
module would allow these computations to be performed in parallel on multiple cores, vastly speeding up these analyses.The text was updated successfully, but these errors were encountered: