On Sat, May 28, 2011 at 4:32 PM, akshar bhosale <akshar.bhosale@gmail.com>wrote:

Hi, Is this right forum for doubts abt numpy/scipy installation?

It is. Please don't keep resending your email. This is your third email with the exact same content, while I replied to your first one already. Ralf

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 : /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 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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