> Profile-guided optimization did not help much, as might be expected, it > pushed about the same kind of optimization as the mtune/march combination. > With gcc 4.1.3 i'm finding that profile guided optimization when trained > on pybench or regrtest does make a measurable difference (2-5% overall > time with 10-20% on some pybench tests). I haven't run benchmarks enough > times to be confident in my results yet, I'll report back with data once > I have it. I'm testing both pybench and regrtest as profiling training runs. It seems that profile guided optimization also offers some benefits on Windows (eg, http://mail.python.org/pipermail/python-dev/2007-May/072970.html), so it might be worth trying to coordinate such efforts between platforms (eg, a central document which holds results for all supported platforms sounds worthwhile, and maybe sharing the top-level script that generates the profile data, etc) Cheers, Mark
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