Merge branch 'it4i-barbora'

new file:   s/Score-P/Score-P-8.0-iimpi-2022a.eb

c/CRYSTAL/CRYSTAL-23-intel-2021b-1.0.1-Pdistrib.eb

@@ -0,0 +1,45 @@
+# IT4Innovations
+# LK 2025
+
+easyblock = 'MakeCp'
+
+name = 'CRYSTAL'
+version = '23'
+versionsuffix = '-1.0.1-Pdistrib'
+
+homepage = 'http://www.crystal.unito.it'
+description = """The CRYSTAL package performs ab initio calculations of the ground state energy, energy
+gradient, electronic wave function and properties of periodic systems. Hartree-Fock or Kohn-
+Sham Hamiltonians (that adopt an Exchange-Correlation potential following the postulates of
+Density-Functional Theory) can be used."""
+
+toolchain = {'name': 'intel', 'version': '2020a'}
+toolchainopts = {'usempi': True, 'optarch': 'march=core-avx2'}
+
+sources = [
+    'crystal23_v1_0_1_Linux-ifort21.4_Pdistrib.tar',
+    'utils23.tar',
+    'documentation23.tar'
+]
+
+checksums = [
+    '130ecac55434d476b9e24dc39b2cdf317bdd45d00631f616d95923ef82f86ac8',
+    '949d8e7f7c62e92e1e7c82e82a42f0fcd346d4336f175d369e1c8161abf1d2dd',
+    '4722ea50302a3908d95c4999ecb7ec466ceaeb7bd69688f81121b5752bc2a98c'
+]
+
+prebuildopts = "cd build && "
+parallel = 1
+
+files_to_copy = [
+    (['bin/Linux-ifort_i64/*/*'], 'bin'),
+    (['utils23/*'], 'utils23'),
+    (['*.pdf'], 'documentation'),
+]
+
+sanity_check_paths = {
+    'files': ['bin/crystal', 'bin/properties'],
+    'dirs': [],
+}
+
+moduleclass = 'chem'

c/CRYSTAL/CRYSTAL-23-intel-2021b-1.0.1-PdistribOMP.eb

@@ -0,0 +1,45 @@
+# IT4Innovations
+# LK 2025
+
+easyblock = 'MakeCp'
+
+name = 'CRYSTAL'
+version = '23'
+versionsuffix = '-1.0.1-PdistribOMP'
+
+homepage = 'http://www.crystal.unito.it'
+description = """The CRYSTAL package performs ab initio calculations of the ground state energy, energy
+gradient, electronic wave function and properties of periodic systems. Hartree-Fock or Kohn-
+Sham Hamiltonians (that adopt an Exchange-Correlation potential following the postulates of
+Density-Functional Theory) can be used."""
+
+toolchain = {'name': 'intel', 'version': '2020a'}
+toolchainopts = {'usempi': True, 'optarch': 'march=core-avx2'}
+
+sources = [
+    'crystal23_v1_0_1_Linux-ifort21.4_PdistribOMP.tar',
+    'utils23.tar',
+    'documentation23.tar'
+]
+checksums = [
+    '90d737792f530e4094b97f1caaa1eea944df882212211c5ebb38676e60af5df3',
+    '949d8e7f7c62e92e1e7c82e82a42f0fcd346d4336f175d369e1c8161abf1d2dd',
+    '4722ea50302a3908d95c4999ecb7ec466ceaeb7bd69688f81121b5752bc2a98c'
+]
+
+#prebuildopts = 'tar -xf utils23.tar &&'
+prebuildopts = "cd build && "
+parallel = 1
+
+files_to_copy = [
+    (['bin/Linux-ifort_i64_omp/*/*'], 'bin'),
+    (['utils23/*'], 'utils23'),
+    (['*.pdf'], 'documentation'),
+]
+
+sanity_check_paths = {
+    'files': ['bin/crystalOMP', 'bin/properties'],
+    'dirs': [],
+}
+
+moduleclass = 'chem'

c/cuDNN/cuDNN-9.5.0.50-CUDA-12.6.0.eb

@@ -0,0 +1,37 @@
+name = 'cuDNN'
+version = '9.5.0.50'
+versionsuffix = '-CUDA-%(cudaver)s'
+homepage = 'https://developer.nvidia.com/cudnn'
+description = """The NVIDIA CUDA Deep Neural Network library (cuDNN) is
+a GPU-accelerated library of primitives for deep neural networks."""
+
+toolchain = SYSTEM
+
+# note: cuDNN is tied to specific to CUDA versions,
+# see also https://docs.nvidia.com/deeplearning/cudnn/support-matrix/index.html#cudnn-cuda-hardware-versions
+local_short_ver = '.'.join(version.split('.')[:3])
+local_cuda_major = '12'
+
+source_urls = [
+    'https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-%(cudnnarch)s/'
+]
+sources = ['%%(namelower)s-linux-%%(cudnnarch)s-%%(version)s_cuda%s-archive.tar.xz' % local_cuda_major]
+checksums = [{
+    '%%(namelower)s-linux-sbsa-%%(version)s_cuda%s-archive.tar.xz' % local_cuda_major:
+        '494b640a69feb40ce806a726aa63a1de6b2ec459acbe6a116ef6fe3e6b27877d',
+    '%%(namelower)s-linux-x86_64-%%(version)s_cuda%s-archive.tar.xz' % local_cuda_major:
+        '86e4e4f4c09b31d3850b402d94ea52741a2f94c2f717ddc8899a14aca96e032d',
+}]
+
+dependencies = [('CUDA', '12.6.0')]
+
+sanity_check_paths = {
+    'files': [
+        'include/cudnn.h', 'lib64/libcudnn_adv_static.a', 'lib64/libcudnn_cnn_static.a',
+        'lib64/libcudnn_engines_precompiled_static.a', 'lib64/libcudnn_engines_runtime_compiled_static.a',
+        'lib64/libcudnn_graph_static.a', 'lib64/libcudnn_heuristic_static.a', 'lib64/libcudnn_ops_static.a',
+    ],
+    'dirs': ['include', 'lib64'],
+}
+
+moduleclass = 'numlib'

c/cuDNN/cuDNN-9.7.1.26-CUDA-12.8.0.eb

@@ -0,0 +1,40 @@
+# IT4Innovations
+# LK 2025
+
+name = 'cuDNN'
+version = '9.7.1.26'
+versionsuffix = '-CUDA-%(cudaver)s'
+homepage = 'https://developer.nvidia.com/cudnn'
+description = """The NVIDIA CUDA Deep Neural Network library (cuDNN) is
+a GPU-accelerated library of primitives for deep neural networks."""
+
+toolchain = SYSTEM
+
+# note: cuDNN is tied to specific to CUDA versions,
+# see also https://docs.nvidia.com/deeplearning/cudnn/support-matrix/index.html#cudnn-cuda-hardware-versions
+local_short_ver = '.'.join(version.split('.')[:3])
+local_cuda_major = '12'
+
+source_urls = [
+    'https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-%(cudnnarch)s/'
+]
+sources = ['%%(namelower)s-linux-%%(cudnnarch)s-%%(version)s_cuda%s-archive.tar.xz' % local_cuda_major]
+checksums = [{
+    '%%(namelower)s-linux-sbsa-%%(version)s_cuda%s-archive.tar.xz' % local_cuda_major:
+        '109a5e5c6bcdf4396e6f63f3f862ed2dcf16ee93ee034dc704a1b11bdf00c0b1',
+    '%%(namelower)s-linux-x86_64-%%(version)s_cuda%s-archive.tar.xz' % local_cuda_major:
+        '109a5e5c6bcdf4396e6f63f3f862ed2dcf16ee93ee034dc704a1b11bdf00c0b1',
+}]
+
+dependencies = [('CUDA', '12.8.0')]
+
+sanity_check_paths = {
+    'files': [
+        'include/cudnn.h', 'lib64/libcudnn_adv_static.a', 'lib64/libcudnn_cnn_static.a',
+        'lib64/libcudnn_engines_precompiled_static.a', 'lib64/libcudnn_engines_runtime_compiled_static.a',
+        'lib64/libcudnn_graph_static.a', 'lib64/libcudnn_heuristic_static.a', 'lib64/libcudnn_ops_static.a',
+    ],
+    'dirs': ['include', 'lib64'],
+}
+
+moduleclass = 'numlib'

d/DFTB+/DFTB+-24.1-foss-2023a-CUDA-12.1.1-PL.eb

@@ -0,0 +1,97 @@
+# IT4Innovations
+# PH 2025
+
+easyblock = 'CMakeMake'
+
+name = 'DFTB+'
+version = '24.1'
+versionsuffix = '-CUDA-12.1.1-PL'
+
+homepage = 'https://www.dftb-plus.info'
+description = """DFTB+ is a fast and efficient versatile quantum mechanical simulation package.
+It is based on the Density Functional Tight Binding (DFTB) method, containing
+almost all of the useful extensions which have been developed for the DFTB
+framework so far.  Using DFTB+ you can carry out quantum mechanical simulations
+like with ab-initio density functional theory based packages, but in an
+approximate way gaining typically around two order of magnitude in speed."""
+
+toolchain = {'name': 'foss', 'version': '2023a'}
+
+local_external_dir = '%%(builddir)s/dftbplus-%%(version)s/external/%s/origin/'
+local_external_extract = 'mkdir -p %s && tar -C %s' % (local_external_dir, local_external_dir)
+local_external_extract += ' --strip-components=1 -xzf %%s'
+
+sources = [
+    {
+        'source_urls': ['https://github.com/dftbplus/dftbplus/archive'],
+        'download_filename': '%(version)s.tar.gz',
+        'filename': SOURCE_TAR_GZ,
+    },
+    {
+        'source_urls': ['https://github.com/dftbplus/testparams/archive'],
+        'download_filename': 'd0ea16df2b56d14c7c3dc9329a8d3bac9fea50a0.tar.gz',
+        'filename': 'slakos-data-%(version)s.tar.gz',
+        'extract_cmd': local_external_extract % ('slakos', 'slakos'),
+    },
+]
+checksums = [
+    '776d83779666e06bf2930c3b1665cdb8e7409b8003e33e0178fbae8b47f5e0b1',  # DFTB+ 24.1
+    '9b64193368a13ae7c238399da8be2b3730a0f3273f9bf6c8054b2ff57d748823',       # slakos-data
+#    '78a0494c2ff9216d6a9199ba07d632b18b809e0198f43905c044b5748bde488d'   # slakos-data
+]
+
+builddependencies = [
+    ('CMake', '3.26.3'),
+]
+
+dependencies = [
+    ('dftd3-lib', '0.9.2'),
+    ('tblite', '0.3.0'),
+    # ('arpack-ng', '3.9.0'), # designed for non-MPI, single-node computations
+    ('magma', '2.7.2', '-CUDA-12.1.1'),
+    #('ELPA', '2022.05.001','-CUDA-12.1.1'),
+    ('ELSI', '2.11.0', '-PEXSI-ELPA-2023.05.001-foss-2023a-CUDA-12.1.1'),
+    #('ScaLAPACK', '2.2.0', '-fb') # ScaLAPACK-2.2.0-gompi-2023a-fb.eb
+    ('ScalapackFx', '1.2'),
+    ('PLUMED', '2.9.0'),
+]
+
+configopts = ' -DWITH_DFTD3=1 -DCOMPILE_DFTD3=0 -DDFTD3_INCS="-I$EBROOTDFTD3MINLIB/include"'
+configopts += ' -DDFTD3_LIBS="-L$EBROOTDFTD3MINLIB/lib -ldftd3"'
+configopts += ' -DWITH_TBLITE=1 '
+#configopts += ' -DWITH_ARPACK=1 -DARPACK_LIBS="-L$EBROOTARPACKMINNG/lib -larpack" -DARPACK_NEEDS_LAPACK=1'
+configopts += ' -DWITH_ARPACK=0'
+
+# Enable GPU support
+configopts += ' -DWITH_GPU=1 '
+configopts += ' -DMAGMA_INCS="-I$EBROOTMAGMA/include" -DMAGMA_LIBS="-L$EBROOTMAGMA/lib -lmagma"'
+
+# Enable ELPA
+configopts += ' -DWITH_ELPA=1 '
+configopts += ' -DELPA_INCS="-I$EBROOTELPA/include" -DELPA_LIBS="-L$EBROOTELPA/lib -lelpa"'
+
+# Enable ELSI
+configopts += ' -DWITH_ELSI=1 '
+configopts += ' -DELSI_INCS="-I$EBROOTELSI/include" -DELSI_LIBS="-L$EBROOTELSI/lib -lelsi"'
+
+# Building with ELSI requires MPI-parallel build enabled
+configopts += ' -DWITH_MPI=1 '
+
+# Enable ScaLAPACK
+configopts += ' -DWITH_SCALAPACK=1 '  
+#configopts += ' -DSCALAPACK_LIBS="-L$EBROOTSCALAPACK/lib -lscalapack" '
+configopts += '-DSCALAPACK_LIBRARY="-L$EBROOTSCALAPACK/lib -lscalapack" '
+#configopts += ' -DSCALAPACK_INCS="-I$EBROOTSCALAPACK/include" '
+
+# Enable Plumed
+configopts += ' -DWITH_PLUMED=ON=1 '
+
+
+installopts = 'INSTALLDIR="%(installdir)s"'
+
+sanity_check_paths = {
+    'files': ['bin/' + x for x in ['dftb+', 'modes', 'waveplot']],
+    'dirs': []
+}
+
+moduleclass = 'phys'

d/DFTB+/DFTB+-24.1-foss-2023a-PL_TB_MPI.eb

@@ -0,0 +1,55 @@
+# IT4Innovations
+# PH 2025
+
+easyblock = 'CMakeMake'
+
+name = 'DFTB+'
+version = '24.1'
+versionsuffix = '-PL_TB_MPI'
+
+homepage = 'https://www.dftb-plus.info'
+description = """DFTB+ is a fast and efficient versatile quantum mechanical simulation package.
+It is based on the Density Functional Tight Binding (DFTB) method, containing
+almost all of the useful extensions which have been developed for the DFTB
+framework so far.  Using DFTB+ you can carry out quantum mechanical simulations
+like with ab-initio density functional theory based packages, but in an
+approximate way gaining typically around two order of magnitude in speed."""
+
+toolchain = {'name': 'foss', 'version': '2023a'}
+
+import os
+if os.environ.get("CLUSTERNAME") in ["KAROLINA"]:
+    toolchainopts = {'usempi': True, 'openmp': True, 'pic': True, 'lowopt': True, 'optarch': 'march=core-avx2'}
+else:
+    toolchainopts = {'usempi': True, 'openmp': True, 'pic': True}
+
+# https://github.com/dftbplus/dftbplus/releases/download/24.1/dftbplus-24.1.tar.xz
+source_urls = ['https://github.com/dftbplus/dftbplus/releases/download/%(version)s']
+sources = ['dftbplus-%(version)s.tar.xz']
+
+
+checksums = [
+    {'dftbplus-24.1.tar.xz': '3bc405d1ab834b6b145ca671fb44565ec50a6f576e9e18e7a1ae2c613a311321'},
+]
+
+builddependencies = [
+    ('CMake', '3.26.3'),
+    ('pkgconf', '1.9.5'),
+]
+
+dependencies = [
+    ('tblite', '0.3.0'),
+    ('PLUMED', '2.9.0'),
+]
+
+configopts = "-DWITH_MPI=ON -DWITH_PLUMED=ON -DWITH_TBLITE=ON "
+configopts += '-DSCALAPACK_LIBRARY="$LIBSCALAPACK" '
+
+
+
+sanity_check_paths = {
+    'files': ['bin/dftb+'],
+    'dirs': ['lib']
+}
+
+moduleclass = 'phys'

d/DFTB+/DFTB+-24.1-foss-2023a-PL_TB_noMPI.eb

@@ -0,0 +1,48 @@
+# IT4Innovations
+# PH 2025
+
+easyblock = 'CMakeMake'
+
+name = 'DFTB+'
+version = '24.1'
+versionsuffix = '-PL_TB_noMPI'
+
+homepage = 'https://www.dftb-plus.info'
+description = """DFTB+ is a fast and efficient versatile quantum mechanical simulation package.
+It is based on the Density Functional Tight Binding (DFTB) method, containing
+almost all of the useful extensions which have been developed for the DFTB
+framework so far.  Using DFTB+ you can carry out quantum mechanical simulations
+like with ab-initio density functional theory based packages, but in an
+approximate way gaining typically around two order of magnitude in speed."""
+
+toolchain = {'name': 'foss', 'version': '2023a'}
+
+# https://github.com/dftbplus/dftbplus/releases/download/24.1/dftbplus-24.1.tar.xz
+source_urls = ['https://github.com/dftbplus/dftbplus/releases/download/%(version)s']
+sources = ['dftbplus-%(version)s.tar.xz']
+
+
+checksums = [
+    {'dftbplus-24.1.tar.xz': '3bc405d1ab834b6b145ca671fb44565ec50a6f576e9e18e7a1ae2c613a311321'},
+]
+
+builddependencies = [
+    ('CMake', '3.26.3'),
+    ('pkgconf', '1.9.5'),
+]
+
+dependencies = [
+    ('tblite', '0.3.0'),
+    ('PLUMED', '2.9.0'),
+]
+
+configopts = "-DWITH_PLUMED=ON -DWITH_TBLITE=ON "
+
+
+
+sanity_check_paths = {
+    'files': ['bin/dftb+'],
+    'dirs': ['lib']
+}
+
+moduleclass = 'phys'

d/DFTB+/DFTB+-24.1-foss-2023a-TB.eb

@@ -45,6 +45,11 @@ sources = [
         'extract_cmd': _external_extract % ('gbsa', 'gbsa'),
     },
 ]
+
+#patches = [
+#    'new_d4_model.patch'
+#]
+
 checksums = [
     {'dftbplus-24.1.tar.xz': '3bc405d1ab834b6b145ca671fb44565ec50a6f576e9e18e7a1ae2c613a311321'},
     {'slakos-data-24.1.tar.gz': '78a0494c2ff9216d6a9199ba07d632b18b809e0198f43905c044b5748bde488d'},
@@ -61,9 +66,10 @@ dependencies = [
     ('Python', '3.11.3'),
     ('tblite', '0.3.0'),
     ('SciPy-bundle', '2023.07'),
-    ('dftd4', '3.7.0'),
+#    ('dftd4', '3.7.0'),
     ('ELSI', '2.11.0', '-PEXSI'),
     ('libmbd', '0.12.6'),
+    ('PLUMED', '2.9.0'),
 ]
 
 # Prefer dependencies from EB than bundled sources
@@ -71,7 +77,12 @@ configopts = '-DHYBRID_CONFIG_METHODS="Find;Submodule;Fetch" '
 configopts += '-DWITH_MPI=1 -DWITH_OMP=1 -DWITH_SDFTD3=1 -DWITH_ELSI=1 -DWITH_MBD=1 -DWITH_UNIT_TESTS=1 '
 configopts += '-DBUILD_SHARED_LIBS=1 -DWITH_API=1 -DWITH_PYTHON=0 '  # Python bindings installed as extension
 configopts += '-DSCALAPACK_LIBRARY="$LIBSCALAPACK" '
-configopts += ' -DWITH_TBLITE=1 '
+configopts += '-DWITH_TBLITE=1 -DWITH_PLUMED=1 '
+#configopts += '-DDFTBPLUS_DFTD4_PATH=$EBROOTDFTD4'
+#configopts += '-DWITH_DFTD4=1 -DDFTBPLUS_DFTD4_PATH=$EBROOTDFTD4'
+#configopts += '-DLIB_DFTD4="$EBROOTDFTD4/lib/libdftd4.so"'
+
+#buildopts = 'FCFLAGS="-I$EBROOTDFTD4/include/dftd4/GNU-12.3.0"'
 
 runtest = 'test'
 

s/Scalasca/Scalasca-2.6.1-iimpi-2022a.eb

@@ -0,0 +1,64 @@
+# IT4Innovations 2025
+# PH
+
+##
+# This is an easyconfig file for EasyBuild, see https://github.com/easybuilders/easybuild
+# Copyright:: Copyright 2013-2024 Juelich Supercomputing Centre, Germany
+# Authors::   Bernd Mohr <b.mohr@fz-juelich.de>
+#             Markus Geimer <m.geimer@fz-juelich.de>
+#             Robert Mijakovic <robert.mijakovic@lxp.lu>
+#             Jan Andre Reuter <j.reuter@fz-juelich.de>
+# License::   3-clause BSD
+#
+# This work is based on experiences from the UNITE project
+# http://apps.fz-juelich.de/unite/
+##
+
+easyblock = 'EB_Score_minus_P'
+
+name = 'Scalasca'
+version = '2.6.1'
+
+homepage = 'https://www.scalasca.org/'
+description = """
+ Scalasca is a software tool that supports the performance optimization of
+ parallel programs by measuring and analyzing their runtime behavior. The
+ analysis identifies potential performance bottlenecks -- in particular
+ those concerning communication and synchronization -- and offers guidance
+ in exploring their causes.
+"""
+
+toolchain = {'name': 'iimpi', 'version': '2022a'}
+
+source_urls = ['https://apps.fz-juelich.de/scalasca/releases/scalasca/%(version_major_minor)s/dist']
+sources = [SOURCELOWER_TAR_GZ]
+patches = [
+    'Scalasca-2.6.1_nowarn_omp_pragmas.patch',
+]
+checksums = [
+    'a0dbc3de82a6c0fe598de9e340513cff2882c199410a632d3a7f073ba921c7e7',
+    # scalasca-2.6.1.tar.gz
+    '6f1df13cd8683e4867b8e4b321c5f89e94430d1281f29f8eb084762a050f9e90',
+    # Scalasca-2.6.1_nowarn_omp_pragmas.patch
+]
+
+builddependencies = [
+    ('CubeWriter', '4.8'),
+]
+
+dependencies = [
+    ('CubeGUI', '4.8'),
+    ('CubeLib', '4.8'),
+    ('OTF2', '3.0.2'),
+    ('Score-P', '8.0'),
+]
+
+sanity_check_paths = {
+    'files': ['bin/scalasca', 'lib/libpearl.replay.a'],
+    'dirs': [],
+}
+
+# Ensure that local metric documentation is found by CubeGUI
+modextrapaths = {'CUBE_DOCPATH': 'share/doc/scalasca/patterns'}
+
+moduleclass = 'perf'

s/Score-P/Score-P-8.0-iimpi-2022a.eb

@@ -0,0 +1,61 @@
+# IT4Innovations 2025
+# PH
+##
+# Copyright:: Copyright 2013-2020 Juelich Supercomputing Centre, Germany
+# Copyright 2020 TU Dresden, Germany
+# Authors::
+# * Bernd Mohr <b.mohr@fz-juelich.de>
+# * Markus Geimer <m.geimer@fz-juelich.de>
+# * Alexander Grund <alexander.grund@tu-dresden.de>
+# * Robert Mijakovic <robert.mijakovic@lxp.lu>
+# License::   3-clause BSD
+#
+# This work is based on experiences from the UNITE project
+# http://apps.fz-juelich.de/unite/
+##
+
+name = 'Score-P'
+version = '8.0'
+
+homepage = 'https://www.score-p.org'
+description = """
+ The Score-P measurement infrastructure is a highly scalable and easy-to-use
+ tool suite for profiling, event tracing, and online analysis of HPC
+ applications.
+"""
+
+toolchain = {'name': 'iimpi', 'version': '2022a'}
+
+source_urls = ['https://perftools.pages.jsc.fz-juelich.de/cicd/scorep/tags/scorep-%(version)s']
+sources = ['scorep-%(version)s.tar.gz']
+checksums = ['4c0f34f20999f92ebe6ca1ff706d0846b8ce6cd537ffbedb49dfaef0faa66311']
+
+dependencies = [
+    ('CubeLib', '4.8'),
+    ('CubeWriter', '4.8'),
+    ('libunwind', '1.6.2'),
+    ('OPARI2', '2.0.7'),
+    ('OTF2', '3.0.2'),
+    # Hardware counter support (optional):
+    ('PAPI', '7.0.0'),
+    # PDT source-to-source instrumentation support (optional):
+    ('PDT', '3.25.1'),
+]
+
+configopts = '--enable-shared'
+
+local_adapters = [
+    'compiler_event', 'compiler_mgmt', 'mpi_event', 'mpi_mgmt', 'opari2_mgmt', 'user_event', 'user_mgmt'
+]
+sanity_check_paths = {
+    'files':
+        ['bin/scorep', 'include/scorep/SCOREP_User.h'] +
+        ['lib/libscorep_adapter_%s.%s' % (a, e) for a in local_adapters for e in ('a', SHLIB_EXT)],
+    'dirs': [],
+}
+sanity_check_commands = ['scorep-config --help']
+
+# Ensure that local metric documentation is found by CubeGUI
+modextrapaths = {'CUBE_DOCPATH': 'share/doc/scorep/profile'}
+
+moduleclass = 'perf'