On Wed, Jun 29, 2016 at 3:27 AM, Chris Barker - NOAA Federal < chris.bar...@noaa.gov> wrote:
> > >> Now the user is writing back to say, "my test code is fast now, but >> numpy.test() is still about three times slower than <some other server we >> don't manage>". When I watch htop as numpy.test() executes, sure enough, >> it's using one core >> > > * if numpy.test() is supposed to be using multiple cores, why isn't it, >> when we've established with other test code that it's now using multiple >> cores? >> > > Some numpy.linalg functions (like np.dot) will be using multiple cores, > but np.linalg.test() takes only ~1% of the time of the full test suite. > Everything else will be running single core. So your observations are not > surprising. > > > Though why it would run slower on one box than another comparable box is a > mystery... > Maybe just hardware config? I see a similar difference between how long the test suite runs on TravisCI vs my linux desktop (the latter is slower, surprisingly). Ralf
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