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Re: Intel Distribution for Python

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From Terry Reedy <tjreedy@udel.edu>
Newsgroups comp.lang.python
Subject Re: Intel Distribution for Python
Date Tue, 10 May 2016 23:47:49 -0400
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On 5/10/2016 11:12 PM, Chris Angelico wrote:
> On Wed, May 11, 2016 at 12:00 PM, beliavsky--- via Python-list
> <python-list@python.org> wrote:
>> The Intel Distribution for Python 2017 Beta https://software.intel.com/en-us/python-distribution is available for Windows, Linux, and Mac OS for Python 2.7 and 3.5.
>>
>> "The Beta product adds new Python packages like scikit-learn, mpi4py, numba, conda, tbb (Python interfaces to Intel® Threading Building Blocks) and pyDAAL (Python interfaces to Intel® Data Analytics Acceleration Library). The Beta also delivers performance improvements for NumPy/SciPy through linking with performance libraries like Intel® MKL, Intel® Message Passing Interface (Intel® MPI), Intel® TBB and Intel® DAAL."
>>
>> I just installed Intel Python today. Has anyone tried it? Does it run your programs faster than the usual CPython?
>>
>
> I haven't used it, but based on a reading of their blurbs, I suspect
> you won't see any significant improvement in base Python code - the
> advantage is the numeric computation work.

All their benchmarks are heavy numeric computation.

> For general Python performance, check out PyPy, although it tends to
> lag behind CPython in versions somewhat. However, PyPy doesn't do
> anything for your numpy performance, and doesn't even guarantee that
> everything works:
>
> http://pypy.org/download.html#installing-numpy
>
> So if the Intel Math Kernel Library lives up to the descriptions, it
> might be the thing to fill in this gap - "use PyPy to speed up your
> Python code, or Intel Python to speed up your numpy code". (Most
> programs won't have performance issues on both of those at once.)
>
> It's worth noting that Intel engineers have been proposing a number of
> performance improvements for backporting into the CPython core, and
> some of them even made it into 2.7. I've no idea whether the page you
> linked to is part of the same project or not; it might be completely
> separate, or it might be the source of all those improvements.

I presume it is all related.  What I find interesting is that Intel 
thinks it will be more profitable to be involved in numerical 
computation driven by python than not to.



-- 
Terry Jan Reedy

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Thread

Intel Distribution for Python beliavsky@aol.com - 2016-05-10 19:00 -0700
  Re: Intel Distribution for Python Chris Angelico <rosuav@gmail.com> - 2016-05-11 13:12 +1000
  Re: Intel Distribution for Python Arshpreet Singh <arsh840@gmail.com> - 2016-05-10 20:17 -0700
    Re: Intel Distribution for Python Chris Angelico <rosuav@gmail.com> - 2016-05-11 14:02 +1000
    Re: Intel Distribution for Python DFS <nospam@dfs.com> - 2016-05-11 00:17 -0400
    Re: Intel Distribution for Python beliavsky@aol.com - 2016-05-11 05:20 -0700
  Re: Intel Distribution for Python Terry Reedy <tjreedy@udel.edu> - 2016-05-10 23:47 -0400
  Re: Intel Distribution for Python beliavsky@aol.com - 2016-06-09 06:28 -0700

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