Hi, Further investigation: MKL is already available via apt[1] and pip[2], no registration is needed to download MKL in both ways.
APT ----- apt sources.list: ``` deb https://apt.repos.intel.com/mkl all main ``` A series of packages named intel-mkl-* can be installed with the above source. Although there are obvious lintian errors at the Architecture section, e.g. intel-mkl-core-2018.2-199/all 2018.2-199 amd64 PIP ----- simply `pip3 install mkl`. The core libs will be pulled. MKL version of numpy is also available `pip3 install intel-numpy` MKL as BLAS/LAPACK alternative ------------------------------------------- The candidate might be libmkl_rt.so . BLAS's dgemm and LAPACK's dgesv are found in this blob. But I didn't test it yet. ~/.l/lib ❯❯❯ readelf -s libmkl_rt.so | grep ' dgemm$' | grep FUNC 9333: 000000000014d2d0 288 FUNC GLOBAL DEFAULT 12 dgemm 33031: 000000000014d2d0 288 FUNC GLOBAL DEFAULT 12 dgemm ~/.l/lib ❯❯❯ readelf -s libmkl_rt.so | grep ' dgesv$' | grep FUNC 9632: 00000000001855d0 192 FUNC GLOBAL DEFAULT 12 dgesv 30008: 00000000001855d0 192 FUNC GLOBAL DEFAULT 12 dgesv Well ... I remember several months ago when I was trying to download MKL, registration is required and what I got is a big all-in-one tarball. Now things has changed... [1] https://software.intel.com/en-us/articles/installing-intel-free-libs-and-python-apt-repo [2] https://software.intel.com/en-us/articles/installing-the-intel-distribution-for-python-and-intel-performance-libraries-with-pip-and On 30 March 2018 at 07:43, Ghislain Vaillant <[email protected]> wrote: > > Le ven. 30 mars 2018 à 08:18, Lumin <[email protected]> a écrit : >> >> Hello d-science folks, >> >> I noticed that intel's math kernel library is redistributable[1]. >> Since it is widely used in various fields, an mkl package >> in Debian archive my be beneficial to at least science >> software users. >> >> However despite of the explicit declaration that MKL >> is redistributable, MKL itself is a proprietary and >> its source is not available. That means mkl must enter >> nonfree, and the packaging is to simply repack a pile >> of binary blobs. >> >> As a co-maintainer of CUDA I really dislike working on >> huge binary blobs that are permitted to redistribute. >> But CUDA is still uploaded and maintained due to >> its usefullness. > > > The effort is justified for CUDA due to the lack of established free > alternatives (apart from OpenCL which Nvidia does not support fully). > > For BLAS and FFT, there are already performant and established alternatives > (OpenBLAS and FFTW), so the appeal to provide a non-free alternative is > lower, imo. > > That being said, I'd be happy if someone were to commit to provide MKL with > the same level of quality as CUDA in Debian. You guys are doing a great job, > afaic. > >> >> So, what's your opinion about the mkl package? >> >> MKL itself contains BLAS routines, FFT, etc. Scientific >> packages may possibly gain a performance boost >> from mkl if they can be linked against mkl. >> >> [1] https://software.intel.com/en-us/mkl/license-faq >> -- >> Best, -- Best,
