Hi folks, if you want to use MKL (the fast BLAS I have tested on my Thinkpad T410) with the R 2.14.0 built as Debian/Ubuntu packages available on CRAN mirror, the following tricks may works for without some known side-effects (likes openmp breaking issues), you may try to build your own libblas.so.3gf.0 with following command:
$ gfortran -L/opt/intel/lib/intel64 -liomp5 -L/opt/intel/mkl/lib/intel64 -lmkl_rt -lmkl_core -lmkl_gf_lp64 -lmkl_gnu_thread -lmkl_gf_ilp64 -lgomp -lpthread -shared -Wl,-soname,libblas.so.3gf -o libblas.so.3gf. $ sudo mkdir /usr/local/lib/MKL $ sudo cp libblas.so.3gf.0 /usr/local/lib/MKL/. $ cd /usr/local/lib/MKL $ sudo ln -s libblas.so.3gf.0 libblas.so.3gf $ sudo -s $ echo "/usr/local/lib/MKL" > /etc/ld.so.conf.d/MKL.conf $ exit $ sudo ldconfig then test your R with some benchmarks, here I am using "R-benchmark-25.R", which is available at http://*r*.research.att.com/benchmarks/. Note: I assume that your MKL is installed under /opt/intel/. * * -- Gong-Yi Liao Department of Statistics University of Connecticut 215 Glenbrook Road U4120 Storrs, CT 06269-4120 [[alternative HTML version deleted]] _______________________________________________ R-SIG-Debian mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-debian
