I'd like to use python's multiprocessing module to utilize a multi-core Linux server.
I need all processes to have read/write access to the same shared memory.
Instead of using a list or a queue, is it possible to have a multi-dimentional numpy array as the shared object?
I think I know what you're looking for: https://bitbucket.org/cleemesser/numpy-sharedmem/issue/3/casting-complex-ndarray-to-float-in
There's a short description on the web page saying: A shared memory module for numpy by Sturla Molden and G. Varoquaux that makes it easy to share memory between processes in the form of NumPy arrays. Originally posted to SciPy-user mailing list.
I, myself am using it just that way. Sharing NumPy arrays between processes. Works very well for me.
