[Numpy-discussion] Efficiency of Numpy wheels and simple way to benchmark Numpy installation?
PIERRE AUGIER
pierre.augier at univ-grenoble-alpes.fr
Sun May 27 11:27:12 EDT 2018
Hello,
I don't know if it is a good place to ask such questions. As advised here https://www.scipy.org/scipylib/mailing-lists.html#stackoverflow, I first posted a question on stackoverflow:
https://stackoverflow.com/questions/50475989/efficiency-of-numpy-wheels-and-simple-benchmark-for-numpy-installations
Since I got no feedback, I try here. My questions are:
- When we care about performance, is it a good practice to rely on wheels (especially for Numpy)? Will it be slower than using (for example) a conda built Numpy?
- Are there simple commands to benchmark Numpy installations and get a good idea of their overall performance?
I explain a little bit more in the stackoverflow question...
Pierre Augier
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