Re: [Numpy-discussion] NumPy 1.12.0 release

2017-01-18 Thread Nathaniel Smith
On Wed, Jan 18, 2017 at 3:43 AM, Julian Taylor wrote: > The version of gcc used will make a large difference in some places. > E.g. the AVX2 integer ufuncs require something around 4.5 to work and in > general the optimization level of gcc has improved greatly since

Re: [Numpy-discussion] NumPy 1.12.0 release

2017-01-18 Thread David Cournapeau
On Wed, Jan 18, 2017 at 11:43 AM, Julian Taylor < jtaylor.deb...@googlemail.com> wrote: > The version of gcc used will make a large difference in some places. > E.g. the AVX2 integer ufuncs require something around 4.5 to work and in > general the optimization level of gcc has improved greatly

Re: [Numpy-discussion] NumPy 1.12.0 release

2017-01-18 Thread Neal Becker
Matthew Brett wrote: > On Tue, Jan 17, 2017 at 3:47 PM, Neal Becker wrote: >> Matthew Brett wrote: >> >>> Hi, >>> >>> On Tue, Jan 17, 2017 at 5:56 AM, Neal Becker >>> wrote: Charles R Harris wrote: > Hi All, > > I'm pleased to

Re: [Numpy-discussion] NumPy 1.12.0 release

2017-01-18 Thread Julian Taylor
The version of gcc used will make a large difference in some places. E.g. the AVX2 integer ufuncs require something around 4.5 to work and in general the optimization level of gcc has improved greatly since the clang competition showed up around that time. centos 5 has 4.1 which is really ancient.

Re: [Numpy-discussion] NumPy 1.12.0 release

2017-01-17 Thread Nathan Goldbaum
I've seen reports on the anaconda mailing list of people seeing similar speed ups when they compile e.g. Numpy with a recent gcc. Anaconda has the same issue as manylinux in that they need to use versions of GCC available on CentOS 5. Given the upcoming official EOL for CentOS5, it might make

Re: [Numpy-discussion] NumPy 1.12.0 release

2017-01-17 Thread Jerome Kieffer
On Tue, 17 Jan 2017 08:56:42 -0500 Neal Becker wrote: > I've installed via pip3 on linux x86_64, which gives me a wheel. My > question is, am I loosing significant performance choosing this pre-built > binary vs. compiling myself? For example, my processor might have

Re: [Numpy-discussion] NumPy 1.12.0 release

2017-01-17 Thread Matthew Brett
Hi, On Tue, Jan 17, 2017 at 5:56 AM, Neal Becker wrote: > Charles R Harris wrote: > >> Hi All, >> >> I'm pleased to announce the NumPy 1.12.0 release. This release supports >> Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be >> downloaded from PiPY >>

Re: [Numpy-discussion] NumPy 1.12.0 release

2017-01-17 Thread Neal Becker
Charles R Harris wrote: > Hi All, > > I'm pleased to announce the NumPy 1.12.0 release. This release supports > Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be > downloaded from PiPY > , the tarball > and zip files

Re: [Numpy-discussion] NumPy 1.12.0 release

2017-01-16 Thread Ralf Gommers
On Mon, Jan 16, 2017 at 12:43 PM, Charles R Harris < charlesr.har...@gmail.com> wrote: > Hi All, > > I'm pleased to announce the NumPy 1.12.0 release. This release supports > Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be > downloaded from PiPY >

[Numpy-discussion] NumPy 1.12.0 release

2017-01-15 Thread Charles R Harris
Hi All, I'm pleased to announce the NumPy 1.12.0 release. This release supports Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be downloaded from PiPY , the tarball and zip files may be downloaded from Github