new file: b/Boost/Boost-1.68.0-intel-2018.04.eb

new file:   l/libMesh/libMesh-1.3.0-intel-2018.04.eb
	new file:   l/libMesh/libMesh-1.4.1-intel-2018.04.eb
	new file:   m/MUMPS/MUMPS-5.2.0-intel-2018.04-parmetis.eb
	new file:   p/PETSc/PETSc-3.7.5-intel-2018.04-it4i.eb
	new file:   s/SCOTCH/SCOTCH-6.0.6-intel-2018.04.eb

b/Boost/Boost-1.68.0-intel-2018.04.eb

@@ -0,0 +1,26 @@
+# IT4Innovations 2018
+
+name = 'Boost'
+version = '1.68.0'
+
+homepage = 'http://www.boost.org/'
+description = """Boost provides free peer-reviewed portable C++ source libraries."""
+
+toolchain = {'name': 'intel', 'version': '2018.04'}
+toolchainopts = {'pic': True, 'usempi': True}
+
+source_urls = [SOURCEFORGE_SOURCE]
+sources = ['%%(namelower)s_%s.tar.gz' % '_'.join(version.split('.'))]
+
+
+dependencies = [
+    ('bzip2', '1.0.6', '', True),
+    ('zlib', '1.2.11', '', True),
+]
+
+configopts = '--without-libraries=python'
+
+# also build boost_mpi
+boost_mpi = True
+
+moduleclass = 'devel'

l/libMesh/libMesh-1.3.0-intel-2018.04.eb

@@ -0,0 +1,36 @@
+# IT4Innovations 2019
+
+easyblock = 'ConfigureMake'
+
+name = 'libMesh'
+version = '1.3.0'
+
+homepage = 'http://libmesh.github.io/'
+description = """The libMesh library provides a framework for the numerical simulation of partial differential equations
+ using arbitrary unstructured discretizations on serial and parallel platforms. A major goal of the library is to
+ provide support for adaptive mesh refinement (AMR) computations in parallel while allowing a research scientist
+  to focus on the physics they are modeling."""
+
+toolchain = {'name': 'intel', 'version': '2018.04'}
+toolchainopts = {'pic': True, 'usempi': True}
+
+source_urls = [
+    'https://github.com/libMesh/libmesh/releases/download/v%(version)s/',
+]
+
+sources = [SOURCELOWER_TAR_GZ]
+
+configopts = " --with-metis=PETSc"
+
+dependencies = [
+        #('ParMETIS', '4.0.3'),
+        ('Boost', '1.68.0'),
+        ('PETSc' ,'3.7.5', '-it4i'),
+]
+
+sanity_check_paths = {
+    'files': ['bin/meshtool-opt'],
+    'dirs': ['bin'],
+}
+
+moduleclass = 'lib'

l/libMesh/libMesh-1.4.1-intel-2018.04.eb

@@ -0,0 +1,36 @@
+# IT4Innovations 2019
+
+easyblock = 'ConfigureMake'
+
+name = 'libMesh'
+version = '1.4.1'
+
+homepage = 'http://libmesh.github.io/'
+description = """The libMesh library provides a framework for the numerical simulation of partial differential equations
+ using arbitrary unstructured discretizations on serial and parallel platforms. A major goal of the library is to
+ provide support for adaptive mesh refinement (AMR) computations in parallel while allowing a research scientist
+  to focus on the physics they are modeling."""
+
+toolchain = {'name': 'intel', 'version': '2018.04'}
+toolchainopts = {'pic': True, 'usempi': True}
+
+source_urls = [
+    'https://github.com/libMesh/libmesh/releases/download/v%(version)s/',
+]
+
+sources = [SOURCELOWER_TAR_GZ]
+
+configopts = " --with-metis=PETSc"
+
+dependencies = [
+        #('ParMETIS', '4.0.3'),
+        ('Boost', '1.68.0'),
+        ('PETSc' ,'3.7.5', '-it4i'),
+]
+
+sanity_check_paths = {
+    'files': ['bin/meshtool-opt'],
+    'dirs': ['bin'],
+}
+
+moduleclass = 'lib'

m/MUMPS/MUMPS-5.2.0-intel-2018.04-parmetis.eb

@@ -0,0 +1,24 @@
+# IT4Innovations 2019
+
+name = 'MUMPS'
+version = '5.2.0'
+versionsuffix = '-parmetis'
+
+homepage = 'http://graal.ens-lyon.fr/MUMPS/'
+description = "A parallel sparse direct solver"
+
+toolchain = {'name': 'intel', 'version': '2018.04'}
+toolchainopts = {'pic': True, 'usempi': True}
+
+source_urls = ['http://mumps.enseeiht.fr/']
+sources = ['%(name)s_%(version)s.tar.gz']
+
+dependencies = [
+    ('SCOTCH', '6.0.6'),
+    ('ParMETIS', '4.0.3'),
+]
+
+parallel = 1
+buildopts = 'all'
+
+moduleclass = 'math'

p/PETSc/PETSc-3.7.5-intel-2018.04-it4i.eb

@@ -0,0 +1,54 @@
+# IT4Innovations 2019
+
+easyblock = 'ConfigureMake'
+name = 'PETSc'
+version = '3.7.5'
+versionsuffix = '-it4i'
+
+homepage = 'http://www.mcs.anl.gov/petsc'
+description = """PETSc, pronounced PET-see (the S is silent), is a suite of data structures and routines for the
+ scalable (parallel) solution of scientific applications modeled by partial differential equations."""
+
+toolchain = {'name': 'intel', 'version': '2018.04'}
+
+# build is still parallel, PETSc make doesnt support -j opt
+maxparallel = 0
+
+source_urls = ['http://ftp.mcs.anl.gov/pub/petsc/release-snapshots']
+sources = [SOURCELOWER_TAR_GZ]
+
+# (build) dependencies provided through EasyBuild
+builddependencies = [('CMake', '3.14.1', '', True)]
+
+# configure installs dependencies -> remove installdir before configure
+keeppreviousinstall = True
+preconfigopts = 'rm -rf %(installdir)s;'
+
+petscArch = 'intel-opt'
+petscDir = '%(builddir)s/%(namelower)s-%(version)s'
+
+# config options
+configopts = '--CFLAGS=-O3 -xHost --CXXFLAGS=-O3 -xHost --FFLAGS=-O3 -xHost --with-c++-support --with-pic=1 '
+configopts += '--with-cc=mpicc --with-cxx=mpicxx --with-fc=mpif90 --with-debugging=0 --with-gnu-compilers=0 '
+configopts += '--with-mpi=1 --with-x=0 '
+configopts += '--download-metis --download-parmetis --download-mumps --download-superlu --download-superlu_dist '
+configopts += '--with-blas-lapack-lib=[$EBROOTIMKL/mkl/lib/intel64_lin/libmkl_intel_lp64.a,libmkl_sequential.a,libmkl_core.a] '
+configopts += '--with-scalapack-include=$EBROOTIMKL/mkl/include '
+configopts += '--with-scalapack-lib=[$EBROOTIMKL/mkl/lib/intel64_lin/libmkl_scalapack_lp64.a,libmkl_blacs_intelmpi_lp64.a,libmkl_intel_lp64.a,libmkl_sequential.a,libmkl_core.a] '
+configopts += '--with-scalapack=1 '
+configopts += 'PETSC_ARCH=%s' % petscArch
+
+installopts = 'PETSC_DIR=%s PETSC_ARCH=%s' % (petscDir, petscArch)
+buildopts = installopts + ' all'
+
+modextravars = {'PETSC_DIR': '%(installdir)s'}
+
+moduleclass = 'numlib'
+
+# sanity checks
+runtest = 'test'   # run make test after make
+sanity_check_paths = {
+    'files': ['include/petscconf.h', 'lib/libpetsc.so'],
+    'dirs': []
+}
+sanity_check_commands = [('petscmpiexec', '-h')]

s/SCOTCH/SCOTCH-6.0.6-intel-2018.04.eb

@@ -0,0 +1,16 @@
+# IT4Innovations 2019
+
+name = 'SCOTCH'
+version = '6.0.6'
+
+homepage = 'http://gforge.inria.fr/projects/scotch/'
+description = """Software package and libraries for sequential and parallel graph partitioning,
+static mapping, and sparse matrix block ordering, and sequential mesh and hypergraph partitioning."""
+
+toolchain = {'name': 'intel', 'version': '2018.04'}
+toolchainopts = {'pic': True}
+
+source_urls = ['http://gforge.inria.fr/frs/download.php/file/34618/']
+sources = ['%(namelower)s_%(version)s.tar.gz']
+
+moduleclass = 'math'