[Numpy-discussion] problem with installation of numpy+scipy on intel platform

[Ralf Gommers]

On Fri, May 27, 2011 at 2:45 AM, akshar bhosale <akshar.bhosale at gmail.com>wrote:

> Hi,
> 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 :
> /opt/intel/Compiler/11.0/069/mkl/lib/em64t
> 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
> mkl95_precision.mod
> 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
>

Better to use numpy 1.6.0, some bugs got fixed since beta 2.


> 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.
>

Did you try the instructions at http://scipy.org/Installing_SciPy/Linux,
section "Any distribution with Intel C compiler and MKL"? Any specific
problems with those?

Cheers,
Ralf
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