diff --git a/anselm.csv b/anselm.csv
index 8e040645d1426b2be6da1d901cf266b07d016fb5..bdb64fd8b61bfc6dc9db68f2531e89c999389c8a 100644
--- a/anselm.csv
+++ b/anselm.csv
@@ -368,9 +368,11 @@ flex/2.6.3,1
 flex/2.6.4,1
 libgdiplus/3.12,1
 Embree/2.16.2-intel-2017a,1
+GLM/0.9.7.2-intel-2017a,1
 LIBSVM/3.22-intel-2017a,1
 LibTIFF/4.0.3,1
 LibTIFF/4.0.7,1
+MATIO/1.5.2-intel-2017a,1
 PROJ/4.9.3-intel-2017a,1
 PyYAML/3.12-Python-2.7.13-base,1
 SIONlib/1.6.1-tools,1
@@ -534,6 +536,7 @@ Octave/4.2.1-intel-2017a-without-X11,1
 Octave/4.2.1-intel-2017a,1
 PSBLAS-ext/1.0-4-GCC-4.9.3-2.25,1
 PSBLAS/3.3.4-3-GCC-4.9.3-2.25,1
+ParMETIS/4.0.3-intel-2017a,1
 Qhull/2015.2,1
 SCOTCH/6.0.4-intel-2017a,1
 ScientificPython/2.9.4-foss-2015g-Python-2.7.9,1
@@ -608,6 +611,7 @@ ScaLAPACK/2.0.2-gompi-2015g-OpenBLAS-0.2.14-LAPACK-3.5.0,1
 ScaLAPACK/2.0.2-gompi-2016a-OpenBLAS-0.2.15-LAPACK-3.6.0,1
 ScaLAPACK/2.0.2-gompi-2016.04-OpenBLAS-0.2.18-LAPACK-3.6.0,1
 ScaLAPACK/2.0.2-gompi-2017a-OpenBLAS-0.2.19-LAPACK-3.7.0,1
+SuiteSparse/4.5.3-intel-2017a-ParMETIS-4.0.3,1
 SuiteSparse/4.5.5-intel-2017a-METIS-5.1.0,1
 arpack-ng/3.3.0-foss-2016a,1
 arpack-ng/3.5.0-intel-2017a,1
diff --git a/anselm.md b/anselm.md
index 15bca5116354d7f16a95528f36008efc8c597b5e..26fc27c69df7fd9e24df56a59e254832b4283b38 100644
--- a/anselm.md
+++ b/anselm.md
@@ -202,6 +202,7 @@
 | ------ | ----------- |
 | Embree |   |
 | freeglut |   |
+| GLM |   |
 | libdrm |   |
 | libevent |   |
 | [libffi](http://sourceware.org/libffi/) | The libffi library provides a portable, high level programming interface to various calling conventions. This allows a programmer to call any function specified by a call interface description at run-time. |
@@ -222,6 +223,7 @@
 | libxslt |   |
 | libyaml |   |
 | lxml |   |
+| MATIO |   |
 | mpi4py |   |
 | nettle |   |
 | PROJ |   |
@@ -279,6 +281,7 @@
 | MPFR |   |
 | numpy |   |
 | [Octave](http://www.gnu.org/software/octave/) | GNU Octave is a high-level interpreted language, primarily intended for numerical computations. |
+| ParMETIS |   |
 | [PSBLAS](http://people.uniroma2.it/salvatore.filippone/psblas/) | Most computationally intensive applications work on irregular and sparse domains that complicate their implementation on parallel machines. The major goal of the Parallel Sparse Basic Linear Algebra Subroutines (PSBLAS) project is to provide a framework to enable easy, efficient and portable implementations of iterative solvers for linear systems, while shielding the user from most details of their parallelization. The interface is designed keeping in view a Single Program Multiple Data programming model on distributed memory machines. |
 | [PSBLAS-ext](http://people.uniroma2.it/salvatore.filippone/psblas/) | PSBLAS - Extended formats and NVIDIA GPU support |
 | Qhull |   |