[Numpy-discussion] IDL vs Python parallel computing
sturla.molden at gmail.com
Wed May 7 12:12:16 EDT 2014
On 05/05/14 17:02, Francesc Alted wrote:
> Well, this might be because it is the place where using several
> processes makes more sense. Normally, when you are reading files, the
> bottleneck is the I/O subsystem (at least if you don't have to convert
> from text to numbers), and for calculating the mean, normally the
> bottleneck is memory throughput.
If IDL is burning the CPU while reading a file I wouldn't call that
impressive. It is certainly not something NumPy should aspire to do.
More information about the NumPy-Discussion