Hi Lucas, > On a dual Xeon 3.0 Ghz:
[...] > Which shows a decrease in performance. Could this have anything to do with the > fact that is is a dual processor box? Maybe. But my 3Gh P4/HT is also detected as a dual processor machine (Kernel 2.6), so it might be a general problem with the Xeon? BTW: The discussion got me interested so I compiled Python 2.4 myself with different compiler switches and different compilers, just to find that generating machine dependant code doesn't speed up the pystone benchmark in any way (with gcc 3.3.4) and using intel's icc V8 only results in a small speedup (from approx. 40000 with gcc to approx. 41500 with icc). So python performance doesn't seem to be that dependant on machine code representation. Maybe you're running into a different problem like cache size. In addition: running python2.3 with psyco 1.2 proxying all 8 Procs of pystone resulted in approx 155000 pystones, while python2.4 with psyco 1.3 resulted in approx 200000 pystones ... Mark -- http://mail.python.org/mailman/listinfo/python-list
