* Thanos Panousis <[EMAIL PROTECTED]> [070421 19:56]: > You cannot get around the GIL in python. > > Maybe you could try passing chunks of your matrix that are copies of > the submatrises you want to multiply using threads. This way it will > be different objects, thus no GIL....I could be awfully wrong though, > I am a beginner in threads as well.
That won't help either. The G in GIL stands for global. There are basically two way around this: a) use multiple processes (aka fork), and communicate the results back to the main program. b) use a C-language level extension to do the heavy lifting, and make this extension give up the GIL, while doing the heavy lifting. Andreas > > On 4/21/07, FAN Ying Wai <[EMAIL PROTECTED]> wrote: > > Hi, > > I am using Python Thread library for my parallel > > processing course > > project. I am doing matrix convolution on a > > multi-processor machine. I > > just found out that no speed-up is obtained with > > threading. It is > > probably because of something called GIL in Python. > > How can I get around > > that GIL and get speed-up? > > Thanks in advance. > > Daniel > > > > > > > > __________________________________________________ > > Do You Yahoo!? > > Tired of spam? Yahoo! Mail has the best spam protection around > > http://mail.yahoo.com > > _______________________________________________ > > Tutor maillist - [email protected] > > http://mail.python.org/mailman/listinfo/tutor > > > _______________________________________________ > Tutor maillist - [email protected] > http://mail.python.org/mailman/listinfo/tutor _______________________________________________ Tutor maillist - [email protected] http://mail.python.org/mailman/listinfo/tutor
