On Mon, 2019-01-07 at 12:15 -0800, Keith Goodman wrote:
> Numpy uses pairwise summation along the fast axis if that axis
> contains no more than 8192 elements. How was 8192 chosen?
It is simply a constant used throughout the ufunc machinery (and
iteration) for cache friendliness.
However, that iteration should not always chunk to 8192 elements, it
should often just the whole array.
And I do not think the inner loop has anything chunking itself, so
given a contiguous fast axis and no casting, you likely already get a
single outer iteration.
In any case 8192 chosen to be small enough to be cache friendly and is
exposed as `np.BUFSIZE`, you can actually the buffer that is being used
with `numpy.setbufsize(size)`, although I can't say I ever tried it.
Note that it has to fit also larger datatypes and multiple buffers.