<br><br><div class="gmail_quote">On Fri, May 27, 2011 at 2:45 AM, akshar bhosale <span dir="ltr"><<a href="mailto:akshar.bhosale@gmail.com">akshar.bhosale@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
Hi,<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/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></blockquote>
<div><br>Better to use numpy 1.6.0, some bugs got fixed since beta 2.<br> <br></div><blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">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.<br></blockquote><div><br>Did you try the instructions at <a href="http://scipy.org/Installing_SciPy/Linux">http://scipy.org/Installing_SciPy/Linux</a>, section "Any distribution with Intel C compiler and MKL"? Any specific problems with those?<br>
<br>Cheers,<br>Ralf <br></div></div>