diff --git a/uv2000.csv b/uv2000.csv
index 12067da05a987ac663c963d290a50be00762aa00..d62c3d2641c5d033d01429ddf2214f660354c7e0 100644
--- a/uv2000.csv
+++ b/uv2000.csv
@@ -18,6 +18,8 @@ Bison/3.0.4-GCCcore-6.3.0,4
 Bison/3.0.5,4
 Boost/1.63.0-intel-2017a,4
 Boost/1.68.0-foss-2018a-Py-2.7,4
+Boost/1.68.0-intel-2017c,4
+Boost/1.68.0-intel-2018.04,4
 bzip2/1.0.6,4
 bzip2/1.0.6-GCCcore-8.2.0,4
 CGAL/4.11.1-foss-2018a,4
@@ -167,6 +169,7 @@ OpenMPI/3.1.3-GCC-8.2.0-2.31.1,4
 OpenMPI/4.0.0-GCC-6.3.0-2.27,4
 ParaView/5.4.1-foss-2018a-mpi,4
 ParaView/5.4.1-intel-2017a-mpi,4
+ParMETIS/4.0.3-intel-2017c,4
 PCRE/8.42,4
 pixman/0.34.0,4
 pkg-config/0.29.2,4
diff --git a/uv2000.md b/uv2000.md
index ce1a284ac5bef41b5b004223056c30c6ebdd9c9b..c302e26a0e0bf83b8765bce8c3705d89fe563010 100644
--- a/uv2000.md
+++ b/uv2000.md
@@ -79,6 +79,7 @@
 | [MATLAB](http://www.mathworks.com/products/matlab) | MATLAB is a high-level language and interactive environment that enables you to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran. |
 | [METIS](http://glaros.dtc.umn.edu/gkhome/metis/metis/overview) | METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes. |
 | [MPFR](http://www.mpfr.org) | The MPFR library is a C library for multiple-precision floating-point computations with correct rounding. |
+| [ParMETIS](http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview) | ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes. |
 | [SCOTCH](http://gforge.inria.fr/projects/scotch/) | Software package and libraries for sequential and parallel graph partitioning, static mapping, and sparse matrix block ordering, and sequential mesh and hypergraph partitioning. |
 
 ## Mpi