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new file: d/darshan/darshan-runtime-3.1.4-foss-2017a.eb new file: d/darshan/darshan-util-3.1.4-foss-2017a.eb new file: e/eudev/eudev-3.1.5-intel-2017a.eb new file: f/FFmpeg/FFmpeg-3.1.3-intel-2017a.eb new file: f/flex/flex-2.6.6.eb new file: f/fontsproto/fontsproto-2.1.3-intel-2017a.eb new file: g/glproto/glproto-1.4.17-intel-2017a.eb new file: i/ImageMagick/ImageMagick-7.0.7.27-intel-2017a.eb new file: l/libXau/libXau-1.0.8-intel-2017a.eb new file: l/libXdamage/libXdamage-1.1.4-intel-2017a.eb new file: l/libXfont/libXfont-1.5.1-intel-2017a.eb new file: m/Mesa/Mesa-13.0.0-intel-2017a.eb new file: m/Mesa/Mesa-17.2.6-intel-2017a.eb new file: m/Molden/Molden-5.7-intel-2017b.eb new file: m/mkl/mkl-2018.1.163.eb new file: n/numpy/numpy-1.14.1-mkl-Py-3.6.eb new file: p/Perl/Perl-5.26.1-foss-2017a.eb new file: v/VMD/VMD-1.9.3-intel-2017b-Py-2.7.eb new file: v/VMD/VMD-1.9.3_configure.patch new file: x/x264/x264-20160430-intel-2017a.eb deleted: n/numpy/numpy-1.14.1-Py-3.6.eb
32 lines
1.1 KiB
Plaintext
32 lines
1.1 KiB
Plaintext
name = 'mkl'
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version = '2018.1.163'
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homepage = 'http://software.intel.com/en-us/intel-mkl/'
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description = """Intel Math Kernel Library is a library of highly optimized,
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extensively threaded math routines for science, engineering, and financial
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applications that require maximum performance. Core math functions include
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BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math, and more."""
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toolchain = {'name': 'dummy', 'version': ''}
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sources = ['l_mkl_%(version)s.tgz']
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dontcreateinstalldir = 'True'
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interfaces = False
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postinstallcmds = [
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# extract the examples
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'tar xvzf %(installdir)s/mkl/examples/examples_cluster_c.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_cluster_f.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
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'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
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]
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modextravars = {
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'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
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}
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moduleclass = 'numlib'
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