site.cfg.example

# if setup does not find the MKL or does not use the configuration, copy this
# file to "site.cfg" and edit the paths according to your installation of the
# Intel MKL.

# Note: some versions of MKL need to be linked to gfortran if compiled with
# GNU C compiler. Uncomment next line if you get an error like "undefined
# symbol: _gfortran_malloc"
#
# Note2: Some Fedora users reported that they had to install a
# compatible version of the gfortran lib.  See:
# http://code.google.com/p/numexpr/issues/detail?id=15
# for more info.
[DEFAULT]
#libraries = gfortran

[mkl]

# Example for using MKL 10.0
#library_dirs = /opt/intel/mkl/10.0.2.018/lib/em64t
#include_dirs =  /opt/intel/mkl/10.0.2.018/include

# Example for the MKL included in Intel C 11.0 compiler
# (you may need a recent NumPy version for being able to search libraries
# in different directories at a time)
#library_dirs = /opt/intel/Compiler/11.0/074/mkl/lib/em64t/:/opt/intel/Compiler/11.0/074/lib/intel64
#include_dirs =  /opt/intel/Compiler/11.0/074/mkl/include/

##the following set of libraries is suited for compilation with the GNU C
##compiler (gcc). Refer to the MKL documentation if you use other compilers
##(e.g., Intel C compiler)
#mkl_libs = mkl_solver_ilp64, mkl_intel_ilp64,  mkl_intel_thread, mkl_core, iomp5

# Example for using MKL 10.2 for Windows 64-bit
#include_dirs = \Program Files\Intel\MKL\10.2.5.035\include
#library_dirs = \Program Files\Intel\MKL\10.2.5.035\em64t\lib
#mkl_libs = mkl_solver_ilp64, mkl_core, mkl_intel_thread, mkl_intel_ilp64, libiomp5md
# The next works too, but for LP64 arithmetic
#mkl_libs = mkl_core, mkl_intel_thread, mkl_intel_lp64, libiomp5md