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# Example for using MKL 10.0
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#library_dirs = /opt/intel/mkl/10.0.2.018/lib/em64t
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#include_dirs = /opt/intel/mkl/10.0.2.018/include
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# Example for the MKL included in Intel C 11.0 compiler
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# (you may need a recent NumPy version for being able to search libraries
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# in different directories at a time)
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#library_dirs = /opt/intel/Compiler/11.0/074/mkl/lib/em64t/:/opt/intel/Compiler/11.0/074/lib/intel64
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#include_dirs = /opt/intel/Compiler/11.0/074/mkl/include/
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##the following set of libraries is suited for compilation with the GNU C
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##compiler (gcc). Refer to the MKL documentation if you use other compilers
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##(e.g., Intel C compiler)
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#mkl_libs = mkl_solver_ilp64, mkl_intel_ilp64, mkl_intel_thread, mkl_core, iomp5
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# This seems to work for MKL 11 with processors with AVX (Sandy Bridge and above) for Linux
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#library_dirs = /opt/intel/composerxe/mkl/lib/intel64:/opt/intel/composer_xe_2013.3.163/compiler/lib/intel64
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#include_dirs = /opt/intel/composerxe/mkl/include/
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#mkl_libs = mkl_intel_lp64, mkl_gf_lp64, mkl_intel_thread, mkl_core, mkl_blas95_lp64, mkl_lapack95_lp64, mkl_avx, mkl_vml_avx, mkl_rt, iomp5
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## Example for using MKL 10.0
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#library_dirs = /opt/intel/mkl/10.0.2.018/lib/em64t
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#include_dirs = /opt/intel/mkl/10.0.2.018/include
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# Example for using MKL 10.2 for Windows 64-bit
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#include_dirs = \Program Files\Intel\MKL\10.2.5.035\include
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#library_dirs = \Program Files\Intel\MKL\10.2.5.035\em64t\lib
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#mkl_libs = mkl_solver_ilp64, mkl_core, mkl_intel_thread, mkl_intel_ilp64, libiomp5md
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# The next works too, but for LP64 arithmetic
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#mkl_libs = mkl_core, mkl_intel_thread, mkl_intel_lp64, libiomp5md