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Three points.


It would be interesting to see some profiling results showing where the time is spent. For perl you can use Devel::NYTProf. I'm not sure about python.

I've profiled code with PDL in the past, and if there are many piddles being generated then the generation is a hotspot. Your profiling code regenerates the piddle each time.

This might also be relevant here:


Your code also includes the startup times, and PDL is a pretty heavy package that pulls in many dependencies. PDL::Lite is useful in such cases.

That said, the cross-posted question on the pdl-general mailing list has updated numbers in the thread: numpy is faster than PDL, but not by double. (Cross-posting is OK, but it helps if it is noted in any posts).


A last observation is that you appear to be running your code in a virtual machine. Does that have any effect on relative speed?

In reply to Re: Perl PDL slower than python numpy by swl
in thread Perl PDL slower than python numpy by fanasy

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