On Fri, May 27, 2011 at 2:45 AM, akshar bhosale <akshar.bhos...@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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