[Numpy-discussion] distributing wheels & SSE/superpack options

[Chris Barker]

On Fri, Dec 6, 2013 at 10:06 AM, Ralf Gommers <ralf.gommers at gmail.com>wrote:


> One of the things that we should start doing for numpy is distribute
> releases as wheels. On OS X at least this is quite simple, so I propose to
> just experiment with it. I can create some to try out and put them on a
> separate folder on SourceForge. If that works they can be put on PyPi.
>
>
+1

For Windows things are less simple, because the wheel format doesn't handle
> the multiple builds (no SSE, SSE2, SSE3) that are in the superpack
> installers. A problem is that we don't really know how many users still
> have old CPUs that don't support SSE3. The impact for those users is high,
> numpy will install but crash (see
> https://github.com/scipy/scipy/issues/1697).
>

Could we have a run-time check, so at least folks would get a nice error
message?

2. in the absence of statistics, can we do an experiment by putting one
> wheel up on PyPi which contains SSE3 instructions, for python 3.3 I
> propose, and seeing for how many (if any) users this goes wrong?
>

sounds good -- it looks like SSE3 has been around a good while:

http://en.wikipedia.org/wiki/SSE3

8+ years is a pretty long time in computer land!

anyone know how long SSE3 has been around?


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