[Numpy-discussion] problem with installation of numpy+scipy on intel platform
Ralf Gommers
ralf.gommers at googlemail.com
Fri May 27 12:55:39 EDT 2011
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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