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Most people use the LAPACK and BLAS part of MKL and don't need the full set of libraries.
Uncompressed it takes 741MB for me and the lapack and blas part is 347 MB (libmkl_avx*.so libmkl_core.so libmkl_gf_lp64.so libmkl_gnu_thread.so) and don't need intel-openmp and icc_rt.
The text was updated successfully, but these errors were encountered:
CC @tomashek@oleksandr-pavlyk is this something worth exploring to help reduce mkl's footprint? I think we're probably end up with all of it in the distribution anyway, but this might make mkl-powered numpy smaller.
Most people use the LAPACK and BLAS part of MKL and don't need the full set of libraries.
Uncompressed it takes 741MB for me and the lapack and blas part is 347 MB (
libmkl_avx*.so libmkl_core.so libmkl_gf_lp64.so libmkl_gnu_thread.so
) and don't needintel-openmp
andicc_rt
.The text was updated successfully, but these errors were encountered: