On 18 Aug, 13:45, Robert Dailey <rcdai...@gmail.com> wrote: > Really, all I'm trying to do is the most trivial type of > parallelization. Take two functions, execute them in parallel. This > type of parallelization is called "embarrassingly parallel", and is > the simplest form. There are no dependencies between the two > functions.
If you are using Linux or Mac, just call os.fork for this. You should also know that you function "create_task" is simply from threading import Thread def create_task(task): Thread(target=task).start() If your task releases the GIL, this will work fine. > They do requires read-only access to shared data, though. > And if they are being spawned as sub-processes this could cause > problems, unless the multiprocess module creates pipelines or other > means to handle this situation. With forking or multiprocessing, you have to use IPC. That is, usually pipes, unix sockets / named pipes, or shared memory. Multiprocessing helps you with this. Multiprocessing also has a convinient Queue object for serialised read/write access to a pipe. You can also create shared memory with mmap.mmap, using fd 0 with Windows or -1 with Linux. -- http://mail.python.org/mailman/listinfo/python-list
