Re: SIMD powered Python
In [EMAIL PROTECTED], Bytter wrote: Is there any ID 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 about objects. `map()`, `reduce()`, list comprehension work on arbitrary iterables so how do you expect SIMD instructions handle this? Even simple lists contain objects and those don't have to be of the same type. Ciao, Marc 'BlackJack' Rintsch -- http://mail.python.org/mailman/listinfo/python-list
Re: SIMD powered Python
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 functions written in C, Fortran or assembler if those make use of SIMD instructions. Right, Python has such poor control over side effects that it has not much chance of parallelizing stuff like list comprehensions in general. Maybe there's some chance of doing it for some special cases with RPython. See http://www.google.com/search?q=nested+data+parallelism; for what's happening with some other languages. -- http://mail.python.org/mailman/listinfo/python-list
Re: SIMD powered Python
In [EMAIL PROTECTED], Bytter wrote: Marc 'BlackJack' Rintsch escreveu: In [EMAIL PROTECTED], Bytter wrote: Is there any ID 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 about objects. `map()`, `reduce()`, list comprehension work on arbitrary iterables so how do you expect SIMD instructions handle this? Even simple lists contain objects and those don't have to be of the same type. 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 functions written in C, Fortran or assembler if those make use of SIMD instructions. Ciao, Marc 'BlackJack' Rintsch -- http://mail.python.org/mailman/listinfo/python-list
Re: SIMD powered Python
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 ID 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 about objects. `map()`, `reduce()`, list comprehension work on arbitrary iterables so how do you expect SIMD instructions handle this? Even simple lists contain objects and those don't have to be of the same type. Ciao, Marc 'BlackJack' Rintsch -- http://mail.python.org/mailman/listinfo/python-list
SIMD powered Python
Hi! Is there any ID 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/Streaming_SIMD_Extensions -- http://mail.python.org/mailman/listinfo/python-list
SIMD powered Python
Hi! Is there any ID 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/Streaming_SIMD_Extensions -- http://mail.python.org/mailman/listinfo/python-list
