[Numpy-discussion] parallel loop annotations
Rahul Garg
garg1@ualberta...
Sat Jun 21 17:05:56 CDT 2008
The discussion has moved to :
http://wiki.cython.org/enhancements/parallel
Quoting Rahul Garg <garg1@ualberta.ca>:
> Thanks for pointing them out. I will look into both of them. I like
> the "with" statement. From an implementation perspective, the "with"
> statement looks simpler since the Python parser seems to discard
> comments and I use the Python parser as front end for compiler.
>
> For other annotations, I have been using either decorators or strings.
> Decorators are used for type annotating functions. Strings just before
> class declarations are currently necessary for telling the compiler
> about fields of a class.
>
> Strings can get a little ugly. Its better to use language features
> whenever possible. I will look into ipython's notation.
>
> More comments welcome :)
>
> thanks,
> rahul
>
>
> Quoting Stéfan van der Walt <stefan@sun.ac.za>:
>
>> 2008/6/18 Rahul Garg <garg1@ualberta.ca>:
>>> I want to add a similar annotation to Python
>>> example usage :
>>>
>>> "pragma parallel for"
>>> for i in xrange(m): a[i] = b[i]*c[i]
>>>
>>> The interpreter ignores such strings and the code will of course
>>> execute serially but such strings can potentially be used by compilers.
>>> Any thoughts on this? What form of annotations would you like to see?
>>> Is it pythonic?
>>
>> Is the idea to have the annotations completely separated from the
>> executed source? Otherwise, I'd just as well make it implicit:
>>
>> with parallel(i):
>> for i in range(m):
>> a[i] = b[i] * c[i]
>>
>> That is also roughly the form that Fernando implemented for IPython1,
>> and is very intuitive.
>>
>> What have you been using for other annotations so far? Python itself
>> supports at least one other annotation:
>>
>> # encoding: utf-8
>>
>> so maybe
>>
>> # pragma: parallel for
>>
>> could work.
>>
>> Regards
>> Stéfan
>> _______________________________________________
>> Numpy-discussion mailing list
>> Numpy-discussion@scipy.org
>> http://projects.scipy.org/mailman/listinfo/numpy-discussion
>>
>>
>
>
> _______________________________________________
> Numpy-discussion mailing list
> Numpy-discussion@scipy.org
> http://projects.scipy.org/mailman/listinfo/numpy-discussion
>
>
More information about the Numpy-discussion
mailing list