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| author | rscohn2 <rscohn2@gmail.com> | 2016-03-26 10:00:26 -0400 |
|---|---|---|
| committer | rscohn2 <rscohn2@gmail.com> | 2016-03-26 10:00:26 -0400 |
| commit | 8c041a7cf3e571b175cfd8859f1af5f067f8cd7a (patch) | |
| tree | 6b1d1a9b9d304e639d0aef6c230643a298fecc91 /docs | |
| parent | be163be0ea5befada208dbf0db29e6fa5811dc86 (diff) | |
| download | caffe-8c041a7cf3e571b175cfd8859f1af5f067f8cd7a.tar.gz caffe-8c041a7cf3e571b175cfd8859f1af5f067f8cd7a.tar.bz2 caffe-8c041a7cf3e571b175cfd8859f1af5f067f8cd7a.zip | |
Update info about MKL licensing
The instructions say that MKL is free for students, but as of 8/2015, MKL is free for everyone with community licensing.
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/installation.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/installation.md b/docs/installation.md index 89316458..e273034f 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -52,7 +52,7 @@ Caffe requires BLAS as the backend of its matrix and vector computations. There are several implementations of this library. The choice is yours: * [ATLAS](http://math-atlas.sourceforge.net/): free, open source, and so the default for Caffe. -* [Intel MKL](http://software.intel.com/en-us/intel-mkl): commercial and optimized for Intel CPUs, with a free trial and [student](http://software.intel.com/en-us/intel-education-offerings) licenses. +* [Intel MKL](http://software.intel.com/en-us/intel-mkl): commercial and optimized for Intel CPUs, with [free](https://registrationcenter.intel.com/en/forms/?productid=2558) licenses. 1. Install MKL. 2. Set up MKL environment (Details: [Linux](https://software.intel.com/en-us/node/528499), [OS X](https://software.intel.com/en-us/node/528659)). Example: *source /opt/intel/mkl/bin/mklvars.sh intel64* 3. Set `BLAS := mkl` in `Makefile.config` |