On Fri, Jul 31, 2015 at 8:36 AM, Pierre <pierre.guil...@gmail.com> wrote:
> Hi,
>
> I have asked a version of this question here:
>
> https://groups.google.com/forum/#!topic/sage-support/2KJQhOf-N7Y
>
> However I now have a minimal working example, and sage-devel is perhaps
> better than sage-support for this question (is it?)
>
> So when working with multivariable polynomials over ZZ and taking the sum of
> two ideals, things are inexplicably slow on sagemathcloud. Try the
> following:
>
> S.<a, b>= ZZ[]
> L= [ S.random_element() for i in range(500) ]
> def test():
>     foo= []*S
>     for P in L:
>         foo= foo + [P]*S
>
> %timeit test()
>
> On my local machine (macbook with sage 6.2), which for anything else is
> slower than the cloud, i get about 170ms (i've tried it with L reconstructed
> a few times).
> On sagemathcloud, it's about 3.8 seconds. 20 times slower !
>
> Using %prun, it seems that a lot of time is spend by {map} ... ????
>
> Also note that on the cloud, there is a warning message about computations
> over ZZ, using singular, not being trustworthy. Sage 6.2 doesn't have that.
> Could it have an effect on the speed?
>
> Anyway, just wanted to point this out. It would be lovely if this could be
> fixed as some point. I'm really enjoying the cloud !


This isn't really a question relevant to SageMathCloud.  It's a
question about Sage-6.7 (which is the current version in the cloud)
and Sage-6.2, which is what you're comparing with.     I would not be
surprised if you were to do the same test on Sage-6.7 on your laptop,
if it would also be slow.

It is, of course, a good question to be asking.  I hope somebody will
run your benchmark on a sage-6.7 install not in SageMathCloud and
report.

I will upgrade SMC to sage-6.8 sometime soon -- I don't know if that will help.

 -- William

>
> Thanks,
> Pierre
>
>
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-- 
William (http://wstein.org)

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