On 10/17/2011 01:26 PM Alex Gaynor wrote:
On Mon, Oct 17, 2011 at 6:12 AM, Bengt Richter wrote:
On 10/17/2011 12:10 AM Armin Rigo wrote:
Hi,
On Sun, Oct 16, 2011 at 23:41, David Cournapeau
wrote:
Interesting to know. But then, wouldn't this limit the speed gains to
be expected from the
On Mon, Oct 17, 2011 at 6:12 AM, Bengt Richter wrote:
> On 10/17/2011 12:10 AM Armin Rigo wrote:
>
>> Hi,
>>
>> On Sun, Oct 16, 2011 at 23:41, David Cournapeau
>> wrote:
>>
>>> Interesting to know. But then, wouldn't this limit the speed gains to
>>> be expected from the JIT ?
>>>
>>
>> Yes, to
On 10/17/2011 12:10 AM Armin Rigo wrote:
Hi,
On Sun, Oct 16, 2011 at 23:41, David Cournapeau wrote:
Interesting to know. But then, wouldn't this limit the speed gains to
be expected from the JIT ?
Yes, to some extent. It cannot give you the last bit of performance
improvements you could exp
On Mon, Oct 17, 2011 at 10:16 AM, Stefan Behnel wrote:
> Maciej Fijalkowski, 17.10.2011 09:34:
>>
>> On Mon, Oct 17, 2011 at 12:10 AM, Armin Rigo wrote:
>>>
>>> On Sun, Oct 16, 2011 at 23:41, David Cournapeau wrote:
Interesting to know. But then, wouldn't this limit the speed gains to
>>
Maciej Fijalkowski, 17.10.2011 09:34:
On Mon, Oct 17, 2011 at 12:10 AM, Armin Rigo wrote:
On Sun, Oct 16, 2011 at 23:41, David Cournapeau wrote:
Interesting to know. But then, wouldn't this limit the speed gains to
be expected from the JIT ?
Yes, to some extent. It cannot give you the last b
On Mon, Oct 17, 2011 at 12:10 AM, Armin Rigo wrote:
> Hi,
>
> On Sun, Oct 16, 2011 at 23:41, David Cournapeau wrote:
>> Interesting to know. But then, wouldn't this limit the speed gains to
>> be expected from the JIT ?
>
> Yes, to some extent. It cannot give you the last bit of performance
> im
On Sun, Oct 16, 2011 at 10:21 PM, Armin Rigo wrote:
> Hi David,
>
> On Sun, Oct 16, 2011 at 19:13, David Cournapeau wrote:
>> (...) and there is also the issue
>> of correctness in floating point code generation. Given that
>> decade-old compilers get it wrong, I would expect pypy jit to have
>>
Hi,
On Sun, Oct 16, 2011 at 23:41, David Cournapeau wrote:
> Interesting to know. But then, wouldn't this limit the speed gains to
> be expected from the JIT ?
Yes, to some extent. It cannot give you the last bit of performance
improvements you could expect from arithmetic optimizations, but (a
On Sun, Oct 16, 2011 at 5:21 PM, Armin Rigo wrote:
> Hi David,
>
> On Sun, Oct 16, 2011 at 19:13, David Cournapeau
> wrote:
> > (...) and there is also the issue
> > of correctness in floating point code generation. Given that
> > decade-old compilers get it wrong, I would expect pypy jit to hav
Hi David,
On Sun, Oct 16, 2011 at 19:13, David Cournapeau wrote:
> (...) and there is also the issue
> of correctness in floating point code generation. Given that
> decade-old compilers get it wrong, I would expect pypy jit to have
> quite a few funky corner cases as well.
No, we should not hav
On Sun, Oct 16, 2011 at 5:34 PM, Stefan Behnel wrote:
>
> I wasn't comparing a JIT to another compiler. I was comparing it to a human
> programmer. A JIT, just like any other compiler, will never be able to
> *understand* the code it compiles, and it can only apply the optimisations
> that it was
Maciej Fijalkowski, 16.10.2011 20:01:
On Sun, Oct 16, 2011 at 6:34 PM, Stefan Behnel wrote:
Maciej Fijalkowski, 16.10.2011 17:50:
We have proven
already that we can perform several optimizations that are very hard
to perform at the C level. And indeed, while you can always argue
"well, you can
On Sun, Oct 16, 2011 at 2:03 PM, Maciej Fijalkowski wrote:
> On Sun, Oct 16, 2011 at 6:41 PM, Samuel Vaiter
> wrote:
> > Hi,
> >
> > Thanks for you answer.
> >
> >> Yes, there are definitely small things that you can work on.
> >>
> >> A good start would be to pick a missing feature from numpy an
On Sun, Oct 16, 2011 at 6:41 PM, Samuel Vaiter wrote:
> Hi,
>
> Thanks for you answer.
>
>> Yes, there are definitely small things that you can work on.
>>
>> A good start would be to pick a missing feature from numpy and start
>> implementing it. There is usually someone on IRC who can help if yo
On Sun, Oct 16, 2011 at 6:34 PM, Stefan Behnel wrote:
> Maciej Fijalkowski, 16.10.2011 17:50:
>>
>> On Sun, Oct 16, 2011 at 2:29 PM, Stefan Behnel wrote
>>>
>>> Samuel Vaiter, 14.10.2011 17:59:
The main
reason why Numpy is my main interest is that as Ph.D student in
Applied Mat
Hi,
Thanks for you answer.
> Yes, there are definitely small things that you can work on.
>
> A good start would be to pick a missing feature from numpy and start
> implementing it. There is usually someone on IRC who can help if you
> have some immediate questions.
>
> Do you want me to find you
Maciej Fijalkowski, 16.10.2011 17:50:
On Sun, Oct 16, 2011 at 2:29 PM, Stefan Behnel wrote
Samuel Vaiter, 14.10.2011 17:59:
The main
reason why Numpy is my main interest is that as Ph.D student in
Applied Mathematics, I really hope one day we will be able to perform
numerical computation withou
On Sun, Oct 16, 2011 at 11:50 AM, Maciej Fijalkowski wrote:
> On Sun, Oct 16, 2011 at 2:29 PM, Stefan Behnel wrote
> > Samuel Vaiter, 14.10.2011 17:59:
> >>
> >> The main
> >> reason why Numpy is my main interest is that as Ph.D student in
> >> Applied Mathematics, I really hope one day we will b
On Sun, Oct 16, 2011 at 2:29 PM, Stefan Behnel wrote
> Samuel Vaiter, 14.10.2011 17:59:
>>
>> The main
>> reason why Numpy is my main interest is that as Ph.D student in
>> Applied Mathematics, I really hope one day we will be able to perform
>> numerical computation without using heavy binding in
Samuel Vaiter, 14.10.2011 17:59:
The main
reason why Numpy is my main interest is that as Ph.D student in
Applied Mathematics, I really hope one day we will be able to perform
numerical computation without using heavy binding in C/Fortran or
intermediate solution like Cython.
I guess you didn't
On Fri, Oct 14, 2011 at 5:59 PM, Samuel Vaiter wrote:
> Hi,
>
> I am willing to contribute to PyPy, especially on Numpy port. The main
> reason why Numpy is my main interest is that as Ph.D student in
> Applied Mathematics, I really hope one day we will be able to perform
> numerical computation w
Hi,
I am willing to contribute to PyPy, especially on Numpy port. The main
reason why Numpy is my main interest is that as Ph.D student in
Applied Mathematics, I really hope one day we will be able to perform
numerical computation without using heavy binding in C/Fortran or
intermediate solution l
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