this applies to the mingw-w64 builds as well
see also:
https://gcc.gnu.org/ml/fortran/2014-10/msg00038.html
From: "Joseph S. Myers"
To: FX
Cc: GCC Patches ,
fortran List
Date: Mon, 6 Oct 2014 20:38:14
Subject: Re: [patch] Add -static-libquadmath option
Since -static-libquad
On 10.10.2014 23:07, Matthew Brett wrote:
> Hi,
>
> On Tue, Oct 7, 2014 at 5:13 PM, Julian Taylor
> wrote:
>> On 06.10.2014 18:54, Andrew Collette wrote:
>>> Hi all,
>>>
>>> I am working with the HDF Group on a new open-source viewer program
>>> for HDF5 files, powered by NumPy, h5py, and wxPytho
Hi,
On Tue, Oct 7, 2014 at 5:13 PM, Julian Taylor
wrote:
> On 06.10.2014 18:54, Andrew Collette wrote:
>> Hi all,
>>
>> I am working with the HDF Group on a new open-source viewer program
>> for HDF5 files, powered by NumPy, h5py, and wxPython. On Windows,
>> since people don't typically have Py
Travis Oliphant wrote:
> A good mingw64 stack for Windows would be great and benefits many
> communities.
BTW: Carl Kleffners mingw toolchains are here:
Documentation:
https://github.com/numpy/numpy/wiki/Mingw-static-toolchain
Downloads:
https://bitbucket.org/carlkl/mingw-w64-for-python/downlo
Travis Oliphant wrote:
> A good mingw64 stack for Windows would be great and benefits many
> communities.
Carl Kleffner has made 32- and 64-bit mingw stacks compatible with Python.
E.g. the stack alignment in the 32-bit version is different from the
vanilla mingw distribution. It also, for the f
Ah, yes, I hadn't realized that OpenBLAS could not be compiled with Visual
Studio. Thanks for that explanation.
Also, I had heard that 32bit mingw on Windows could still produce 64-bit
binaries. It looks like there are OpenBLAS binaries available for
Windows 32 and Windows 64 (two flavors
Travis Oliphant wrote:
> Microsoft has actually released their Visual Studio 2008 compiler stack so
> that OpenBLAS and ATLAS could be compiled on Windows for these platforms as
> well. I would be very interested to see conda packages for these
> libraries which should be pretty straightforward
Only on Windows does free Anaconda link against the MKL. But, you are
correct, that the MKL-linked binaries can only be re-distributed if the
person or entity doing the re-distribution has a valid MKL license from
Intel.
Microsoft has actually released their Visual Studio 2008 compiler stack
Hi Travis,
the Anaconda binaries (free packages as well as the non-free addons) link
against Intel MKL - not against ATLAS. Are this binaries really free
redistributable as stated?
The lack of numpy/scipy 64bit windows binaries with opensource blas/lapack
with was one of the main reasons to start
Hey Andrew,
You can use any of the binaries from Anaconda and redistribute them as long
as you "cite" Anaconda --- i.e. tell your users that they are using
Anaconda-derived binaries. The Anaconda binaries link against ATLAS.
The binaries are all at http://repo.continuum.io/pkgs/
In case you
On 06.10.2014 18:54, Andrew Collette wrote:
> Hi all,
>
> I am working with the HDF Group on a new open-source viewer program
> for HDF5 files, powered by NumPy, h5py, and wxPython. On Windows,
> since people don't typically have Python installed, we are looking to
> distribute the application us
Hi all,
I am working with the HDF Group on a new open-source viewer program
for HDF5 files, powered by NumPy, h5py, and wxPython. On Windows,
since people don't typically have Python installed, we are looking to
distribute the application using PyInstaller, which embeds
dependencies like NumPy.
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