[Numpy-discussion] numpy,scipy installation using mkl

akshar bhosale akshar.bhosale at gmail.com
Sun May 29 09:05:02 EDT 2011

Is this right forum for doubts abt numpy/scipy installation?
Please find our issue below ..
we have machine having intel xeon x7350 processors(8 nos) and RHEL 5.2
x86_64 with kernel 2.6.18-92.el5.
We have following configuration :
Now we want to install numpy and scipy as an user in my home directory.

Following are the libraries build inside MKL.

libfftw2x_cdft_DOUBLE.a          libmkl_blacs_sgimpt_ilp64.a
libmkl_intel_ilp64.a    libmkl_pgi_thread.so              libmkl_vml_mc2.so
libfftw2xc_intel.a               libmkl_blacs_sgimpt_lp64.a
libmkl_intel_ilp64.so   libmkl_scalapack.a                libmkl_vml_mc3.so
libfftw2xf_intel.a               libmkl_blas95.a
libmkl_intel_lp64.a     libmkl_scalapack_ilp64.a          libmkl_vml_mc.so
libfftw3xc_intel.a               libmkl_cdft.a
libmkl_intel_lp64.so    libmkl_scalapack_ilp64.so         libmkl_vml_p4n.so
libfftw3xf_intel.a               libmkl_cdft_core.a
libmkl_intel_sp2dp.a    libmkl_scalapack_lp64.a           locale
libmkl_blacs_ilp64.a             libmkl_core.a
libmkl_intel_sp2dp.so   libmkl_scalapack_lp64.so          mkl77_blas.mod
libmkl_blacs_intelmpi20_ilp64.a  libmkl_core.so
libmkl_intel_thread.a   libmkl_sequential.a               mkl77_lapack1.mod
libmkl_blacs_intelmpi20_lp64.a   libmkl_def.so
libmkl_intel_thread.so  libmkl_sequential.so              mkl77_lapack.mod
libmkl_blacs_intelmpi_ilp64.a    libmkl_em64t.a
libmkl_lapack95.a       libmkl.so                         mkl95_blas.mod
libmkl_blacs_intelmpi_ilp64.so   libmkl_gf_ilp64.a
libmkl_lapack.a         libmkl_solver.a                   mkl95_lapack.mod
libmkl_blacs_intelmpi_lp64.a     libmkl_gf_ilp64.so
libmkl_lapack.so        libmkl_solver_ilp64.a
libmkl_blacs_intelmpi_lp64.so    libmkl_gf_lp64.a
libmkl_mc3.so           libmkl_solver_ilp64_sequential.a
libmkl_blacs_lp64.a              libmkl_gf_lp64.so
libmkl_mc.so            libmkl_solver_lp64.a
libmkl_blacs_openmpi_ilp64.a     libmkl_gnu_thread.a
libmkl_p4n.so           libmkl_solver_lp64_sequential.a
libmkl_blacs_openmpi_lp64.a      libmkl_gnu_thread.so
libmkl_pgi_thread.a     libmkl_vml_def.so

Version we are trying to build of numpy and scipy are :
numpy :  1.6.0b2 and scipy : 0.9.0
We have configured python as a user in my home directory with version :
2.6.6 our machine has python : 2.4.3

We want to know the exact procedure for installing it using MKL as we are
facing lot of issues while installing the same.
Please help us.
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