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new file: d/dask/dask-0.17.0-Py-3.6.eb new file: d/decorator/decorator-4.2.1-Py-3.6.eb modified: n/networkx/networkx-1.11-Python-2.7.13.eb new file: n/networkx/networkx-2.1-Py-3.6.eb new file: p/Pillow/Pillow-5.0.0-Py-3.6.eb new file: p/PyWavelets/PyWavelets-0.5.2-Py-3.6.eb modified: s/Score-P/Score-P-3.1-intel-2017a.eb modified: s/scikit-image/scikit-image-0.13.1-Py-3.6.eb new file: t/toolz/toolz-0.9.0-Py-3.6.eb deleted: n/networkx/networkx-1.11-Py-3.6.eb deleted: s/scikit-image/.scikit-image-0.13.1-Py-3.6.eb.swp
34 lines
1.2 KiB
Plaintext
34 lines
1.2 KiB
Plaintext
# IT4Innovations 2018
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easyblock = 'EB_Score_minus_P'
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name = 'Cube'
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version = '4.3.5'
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homepage = 'http://www.scalasca.org/software/cube-4.x/download.html'
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description = """Cube, which is used as performance report explorer for Scalasca and
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Score-P, is a generic tool for displaying a multi-dimensional performance space
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consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system
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resource. Each dimension can be represented as a tree, where non-leaf nodes of the tree
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can be collapsed or expanded to achieve the desired level of granularity."""
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toolchain = {'name': 'intel', 'version': '2017a'}
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toolchainopts = {'optarch': False}
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sources = [SOURCELOWER_TAR_GZ]
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source_urls = ['http://apps.fz-juelich.de/scalasca/releases/cube/%(version_major_minor)s/dist']
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dependencies = [
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('Qt', '4.8.7', '', True),
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]
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configopts = '--enable-platform-mic --with-qt-specs=linux-icc-64 --with-frontend-compiler-suite=intel'
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sanity_check_paths = {
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'files': ["bin/cube", ("lib/libcube4.a", "lib64/libcube4.a"),
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("lib/libcube4.%s" % SHLIB_EXT, "lib64/libcube4.%s" % SHLIB_EXT)],
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'dirs': ["include/cube", "include/cubew"],
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}
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moduleclass = 'perf'
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