modified: i/imkl/imkl-11.3.2.181-iimpi-2016.02-GCC-4.9.3-2.25.eb

	new file:   m/Mercurial/Mercurial-4.4.2-Py-2.7.eb
	new file:   n/numactl/numactl-2.0.11.eb
	new file:   p/pWord2Vec/pWord2Vec-2018-01-25-intel-2017a.eb
	new file:   p/pWord2Vec/pWord2Vec-pWord2Vec.cpp.patch
	new file:   v/VTune/VTune-2017_update5.eb

i/imkl/imkl-11.3.2.181-iimpi-2016.02-GCC-4.9.3-2.25.eb

@@ -26,11 +26,11 @@ postinstallcmds = [
     'tar xvzf %(installdir)s/mkl/examples/examples_core_c.tgz -C %(installdir)s/mkl/examples/',
     'tar xvzf %(installdir)s/mkl/examples/examples_core_f.tgz -C %(installdir)s/mkl/examples/',
     'tar xvzf %(installdir)s/mkl/examples/examples_f95.tgz -C %(installdir)s/mkl/examples/',
-    'tar xvzf %(installdir)s/mkl/examples/examples_mic.tgz -C %(installdir)s/mkl/examples/'
+    'tar xvzf %(installdir)s/mkl/examples/examples_mic.tgz -C %(installdir)s/mkl/examples/',
 ]
 
 modextravars = {
-    'MKL_EXAMPLES': ''%(installdir)s/mkl/examples/',
+    'MKL_EXAMPLES': '%(installdir)s/mkl/examples/',
 }
 
 moduleclass = 'numlib'

m/Mercurial/Mercurial-4.4.2-Py-2.7.eb

+# IT4Innovations 2018
+
+easyblock = "PythonPackage"
+
+name = 'Mercurial'
+version = '4.4.2'
+
+homepage = 'http://mercurial.selenic.com/'
+description = """Mercurial is a free, distributed source control management tool. It efficiently handles projects
+of any size and offers an easy and intuitive interface.
+"""
+
+toolchain = {'name': 'Py', 'version': '2.7'}
+
+source_urls = ['https://www.mercurial-scm.org/release']
+sources = [SOURCELOWER_TAR_GZ]
+
+sanity_check_paths = {
+    'files': ['bin/hg'],
+    'dirs': ['lib/python2.7/site-packages/mercurial'],
+}
+
+moduleclass = 'python'

n/numactl/numactl-2.0.11.eb

+easyblock = 'ConfigureMake'
+
+name = 'numactl'
+version = '2.0.11'
+
+homepage = 'http://oss.sgi.com/projects/libnuma/'
+description = """The numactl program allows you to run your application program on specific cpu's and memory nodes.
+ It does this by supplying a NUMA memory policy to the operating system before running your program.
+ The libnuma library provides convenient ways for you to add NUMA memory policies into your own program."""
+
+toolchain = {'name': 'dummy', 'version': ''}
+
+source_urls = ['ftp://oss.sgi.com/www/projects/libnuma/download/']
+sources = [SOURCE_TAR_GZ]
+
+checksums = ['d3bc88b7ddb9f06d60898f4816ae9127']
+
+builddependencies = [('binutils', '2.25')]
+
+sanity_check_paths = {
+    'files': ['bin/numactl', 'bin/numastat', 'lib/libnuma.%s' % SHLIB_EXT, 'lib/libnuma.a'],
+    'dirs': ['share/man', 'include']
+}
+
+moduleclass = 'tools'

p/pWord2Vec/pWord2Vec-2018-01-25-intel-2017a.eb

+# IT4Innovations 2017
+
+# !!! master branch !!!
+
+easyblock = 'CmdCp'
+
+name = 'pWord2Vec'
+version = '2018-01-25'
+
+
+homepage = 'https://github.com/IntelLabs/pWord2Vec'
+description = """This tool provides an efficient implementation of 
+ the continuous bag-of-words and skip-gram architectures for 
+ computing vector representations of words. These representations 
+ can be subsequently used in many natural language processing 
+ applications and for further research."""
+
+toolchain = {'name': 'intel', 'version': '2017a'}
+
+source_urls = ['https://github.com/IntelLabs/pWord2Vec/archive/']
+sources = ['master.zip']
+
+patches = [
+    "pWord2Vec-pWord2Vec.cpp.patch",
+]
+
+dependencies = [
+    ('numactl', '2.0.11', '', True),
+]
+
+builddependencies = [
+    ('Mercurial', '4.4.2', '', ('Py', '2.7')),
+]
+
+commands = "./install.sh "
+
+cmds_map = [('.*', commands)]
+
+files_to_copy = [
+        (['pWord2Vec', 'pWord2Vec_mpi'], 'bin'),
+]
+
+sanity_check_paths = {
+    'files': ['bin/pWord2Vec', 'bin/pWord2Vec_mpi'],
+    'dirs': [''],
+}
+
+moduleclass = 'chem'

p/pWord2Vec/pWord2Vec-pWord2Vec.cpp.patch

+--- pWord2Vec.cpp.orig	2018-01-25 09:06:11.034201578 +0100
++++ pWord2Vec.cpp	2018-01-25 09:06:34.457110914 +0100
+@@ -20,6 +20,7 @@
+ #include <cmath>
+ #include <algorithm>
+ #include <omp.h>
++#include <stdio.h>
+ 
+ #ifdef USE_MKL
+ #include "mkl.h"

v/VTune/VTune-2017_update5.eb

+name = 'VTune'
+version = '2017_update5'
+
+homepage = 'http://software.intel.com/en-us/intel-vtune-amplifier-xe'
+description = "Intel VTune Amplifier XE 2016 is the premier performance profiler for C, C++, C#, Fortran, Assembly and Java."
+
+toolchain = {'name': 'dummy', 'version': ''}
+
+sources = ['vtune_amplifier_xe_%(version)s.tar.gz']
+
+dontcreateinstalldir = 'True'
+
+# license file
+license_file = '/apps/licenses/intel/license.lic'
+
+sanity_check_paths = {
+    'files': [],
+    'dirs': ['vtune_amplifier_xe_2017.5.0.526192'],
+}
+
+# Do necessary post-install steps to build VTune kernel modules
+postinstallcmds = [
+    'mkdir %(installdir)s/modules',
+    'cd %(installdir)s/vtune_amplifier_xe/sepdk/src/ && '
+    './build-driver --install-dir=%(installdir)s/modules --non-interactive',
+]
+
+moduleclass = 'tools'