On Nov 3, 2:35 pm, joa2212 <[EMAIL PROTECTED]> wrote: > Result: Almost even worse. The application is not scaling at all. > Every time you start a request it is hanging around on one cpu and is > devouring it at about 90-100% load. The other 31 CPUs which are shown > in "mpstat" are bored at 0% load. >
Like others already pointed out: Performance is going to suffer if you run something that's single-threaded on a T1000. We've been using the T1000 for a while (but not for python) and it's actually really fast. The performance is way better than the 8 cores imply. In fact, it'll do work that's not too far from 32 times the work of a single thread. Of course, it all depends on what your application is like, but try experimenting a bit with parallelism. Try changing from 4 up to 64 parallel working processes to see what kind of effects you'll get. I'm guessing that whatever caching of persistent data you can do will be a good thing as well as the disk might end up working really hard. -- http://mail.python.org/mailman/listinfo/python-list
