How to handle multi-processing of libraries which already spawn sub-processes?

I am having some trouble coming up with a good solution to limit sub-processes in a script which uses a multi-processed library and the script itself is also multi-processed.

Opinions on logging in multiprocess applications

We have written an application that spawns at least 9 parallel processes. All processes generate a lot of logging information.

Can multiple CPU’s / cores access the same RAM simultaneously?

This is what I guess would happen:

Python Multiprocessing with Queue vs ZeroMQ IPC

I am busy writing a Python application using ZeroMQ and implementing a variation of the Majordomo pattern as described in the ZGuide.

Python Multiprocessing with Queue vs ZeroMQ IPC

I am busy writing a Python application using ZeroMQ and implementing a variation of the Majordomo pattern as described in the ZGuide.

Python Multiprocessing with Queue vs ZeroMQ IPC

I am busy writing a Python application using ZeroMQ and implementing a variation of the Majordomo pattern as described in the ZGuide.

How to effectively split jobs into groups for multiprocessing when the job sizes are unknown

With K processor cores, how to optimally split N jobs into groups, with each group to be processed sequentially by one processor core, when the time to process each job is unknown ahead of time and there is overhead associated with processing each group of jobs?

How to efficiently implement this background processing chain?

I am working on an audio software that uses The EchoNest web service to identify and retrieve metadata about audio songs and I would like to have some advice on implementing a background processing chain.

are multithreading, multiprocessing, multitasking implemented at instruction set or OS?

On a computer with a single cpu core,

are multithreading, multiprocessing, multitasking implemented at instruction set or OS?

On a computer with a single cpu core,