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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 |
| Lines | 53 |
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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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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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