[Numpy-discussion] numpy FFT memory accumulation

Charles R Harris charlesr.harris@gmail....
Thu Nov 1 20:52:12 CDT 2007

On 11/1/07, Ray S <subscriber100@rjs.org> wrote:
> At 09:00 AM 11/1/2007, you wrote:
> I saw that Numeric did also (I still use Numeric for smaller array
> speed) but much more slowly.
> I will try to repeat with a small demo and post.
> It turns out to be some aspect of mixing numpy and Numeric;
> the attached *Stable.py files allocate memory that stays exactly the
> same
> mixedGrows.py grows by about 50kB/s while changing slightly,
> randomly; note that the array is assigned as numpy and operated on
> with Numeric functions.
> My main app also uses mmap/numpy to assign the arrays to shared
> memory for multiple processes, and does other operations as well,
> possibly accounting for the faster memory growth.
> I'll re-factor to an all-numpy solution and test.
> I used Numeric functions for the ~40% speed increase, but I don't

I know that numarray was slow in creating small arrays, but is Numpy really
that bad compared to Numeric?

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