Mon, 04 Sep 2017 09:00:03 +0200

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

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 |   |