<br>Hi,<br>Is this right forum for doubts abt numpy/scipy installation? <br>Please find our issue below ..<br>we have machine having intel xeon x7350 processors(8 nos) and RHEL 5.2 x86_64 with kernel 2.6.18-92.el5. <br>We have following configuration :<br>


/opt/intel/Compiler/11.0/069/<div>mkl/lib/em64t<br>Now we want to install numpy and scipy as an user in my home directory.<br>

<br>Following are the libraries build inside MKL.<br><br>libfftw2x_cdft_DOUBLE.a          libmkl_blacs_sgimpt_ilp64.a  libmkl_intel_ilp64.a    libmkl_pgi_thread.so              libmkl_vml_mc2.so<br>libfftw2xc_intel.a               libmkl_blacs_sgimpt_lp64.a   libmkl_intel_ilp64.so   libmkl_scalapack.a                libmkl_vml_mc3.so<br>




libfftw2xf_intel.a               libmkl_blas95.a              libmkl_intel_lp64.a     libmkl_scalapack_ilp64.a          libmkl_vml_mc.so<br>libfftw3xc_intel.a               libmkl_cdft.a                libmkl_intel_lp64.so    libmkl_scalapack_ilp64.so         libmkl_vml_p4n.so<br>




libfftw3xf_intel.a               libmkl_cdft_core.a           libmkl_intel_sp2dp.a    libmkl_scalapack_lp64.a           locale<br>libmkl_blacs_ilp64.a             libmkl_core.a                libmkl_intel_sp2dp.so   libmkl_scalapack_lp64.so          mkl77_blas.mod<br>




libmkl_blacs_intelmpi20_ilp64.a  libmkl_core.so               libmkl_intel_thread.a   libmkl_sequential.a               mkl77_lapack1.mod<br>libmkl_blacs_intelmpi20_lp64.a   libmkl_def.so                libmkl_intel_thread.so  libmkl_sequential.so              mkl77_lapack.mod<br>




libmkl_blacs_intelmpi_ilp64.a    libmkl_em64t.a               libmkl_lapack95.a       libmkl.so                         mkl95_blas.mod<br>libmkl_blacs_intelmpi_ilp64.so   libmkl_gf_ilp64.a            libmkl_lapack.a         libmkl_solver.a                   mkl95_lapack.mod<br>




libmkl_blacs_intelmpi_lp64.a     libmkl_gf_ilp64.so           libmkl_lapack.so        libmkl_solver_ilp64.a             mkl95_precision.mod<br>libmkl_blacs_intelmpi_lp64.so    libmkl_gf_lp64.a             libmkl_mc3.so           libmkl_solver_ilp64_sequential.a<br>




libmkl_blacs_lp64.a              libmkl_gf_lp64.so            libmkl_mc.so            libmkl_solver_lp64.a<br>libmkl_blacs_openmpi_ilp64.a     libmkl_gnu_thread.a          libmkl_p4n.so           libmkl_solver_lp64_sequential.a<br>




libmkl_blacs_openmpi_lp64.a      libmkl_gnu_thread.so         libmkl_pgi_thread.a     libmkl_vml_def.so<br><br>Version we are trying to build of numpy and scipy are :<br>numpy :  1.6.0b2 and scipy : 0.9.0<br>We have configured python as a user in my home directory with version : 2.6.6 our machine has python : 2.4.3<br>




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