适用于OS X的Numpy-MKL [英] Numpy-MKL for OS X

问题描述

我喜欢能够使用 Christoph Gohlke的numpy-MKL 版本与英特尔的

I love being able to use Christoph Gohlke's numpy-MKL version of NumPy linked to Intel's Math Kernel Library on Windows. However, I have been unable to find a similar version for OS X, preferably NumPy 1.7 linked for Python 3.3 on Mountain Lion. Does anyone know where this might be obtained?

因此，经过一番摸索，我发现了此链接评估英特尔针对C ++和Fortran(均包含MKL)的Composer XE2013工作室，以及 SciPy ，因此这将适用于现在.但是，问题仍然存在-是否存在与Christoph Gohlke类似的OS X经常更新的存档?如果没有，为什么不呢? :)

So after a bit of hunting I found this link to evaluate Intel's Composer XE2013 studios for C++ and Fortran (both of which contain the MKL), as well as a tutorial on building NumPy and SciPy with it, so this will serve for the present. However, the question remains - is there a frequently-updated archive for OS X similar to Christoph Gohlke's? If not, why not? :)

推荐答案

Intel已根据社区许可发布了其MKL，该许可是免费的，只有有限的技术支持.目前，在社区许可下的MKL适用于Linux和Windows，并且有望很快为Mac OS X提供一个版本.

Intel has release their MKL under a community license, which is free, with limited technical support. Currently MKL under the Community License is available for Linux and Windows, and it is expected they will provide a version for Mac OS X soon.

https://software.intel.com/en-us/comment/1839012

在他们最近的一次网络研讨会中，我询问了他们根据社区许可计划购买Mac OS X MKL的计划.他们说即将到来.

In one of their recent webinars, I asked for their plans for a Mac OS X MKL under the community license. They say it is coming soon.

更新2:

Continuum为Anaconda Python提供了适用于所有平台的Intel MKL.

Continuum provides Anaconda Python with Intel MKL included for all platforms.

https://www. anaconda.com/blog/developer-blog/anaconda-25-release-now-mkl-optimizations/

英特尔甚至可以轻松地从Anaconda Python发行版对MKL进行编译和链接.

Intel even makes it easy to compile and link against the MKL from the Anaconda Python distribution.

https://软件.intel.com/zh-CN/articles/using-intel-distribution-for-python-with-anaconda

更新:

现在看来，英特尔拥有自己的Python版本，可以提供给Beta测试人员.

It now appears that Intel has their own version of Python that they are providing to beta testers.

https://software.intel .com/en-us/forums/intel-distribution-for-python/topic/581593

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