Marc 'BlackJack' Rintsch <[EMAIL PROTECTED]> writes:
> > True... But maybe in NumPy arrays that would be more feasible...?
>
> Yes but that's in external libraries and not in the Python interpreter.
> So it won't speed up Python code like list comprehensions but "just" calls
> to external function
In <[EMAIL PROTECTED]>, Bytter wrote:
> Marc 'BlackJack' Rintsch escreveu:
>> In <[EMAIL PROTECTED]>, Bytter wrote:
>>
>> > Is there any I&D ongoing about using SIMD [1] instructions, like SSE
>> > [2], to speed up Python, especially regarding functional features,
>> > like list comprehension, map
Hi...
True... But maybe in NumPy arrays that would be more feasible...?
Cheers.
Hugo Ferreira
Marc 'BlackJack' Rintsch escreveu:
> In <[EMAIL PROTECTED]>, Bytter wrote:
>
> > Is there any I&D ongoing about using SIMD [1] instructions, like SSE
> > [2], to speed up Python, especially regarding f
In <[EMAIL PROTECTED]>, Bytter wrote:
> Is there any I&D ongoing about using SIMD [1] instructions, like SSE
> [2], to speed up Python, especially regarding functional features,
> like list comprehension, map and reduce, etc.. ?
SIMD instruction sets know about "low level" data types, Python is a
Hi!
Is there any I&D ongoing about using SIMD [1] instructions, like SSE
[2], to speed up Python, especially regarding functional features,
like list comprehension, map and reduce, etc.. ?
Best regards,
Hugo Ferreira
--
[1] http://en.wikipedia.org/wiki/SIMD
[2] http://en.wikipedia.org/wiki/Str
Hi!
Is there any I&D ongoing about using SIMD [1] instructions, like SSE [2], to
speed up Python, especially regarding functional features, like list
comprehension, map and reduce, etc.. ?
Best regards,
Hugo Ferreira
--
[1] http://en.wikipedia.org/wiki/SIMD
[2] http://en.wikipedia.org/wiki/St
