Graph partitioning is an ubiquitous technique which has applications in many fields of computer science and engineering. It is mostly used to help solving optimization problems modeled in terms of weighted or unweighted graphs, where finding good solutions amounts to computing, eventually recursively in a divide-and-conquer framework, small vertex or edge cuts that balance evenly the weights of the graph parts. Because there always exists large problem graphs which cannot fit in the memory of sequential computers and cost too much to partition, parallel graph partitioning tools have been developed. PT-Scotch is another attempt to provide a simple and efficient library for parallel graph partitioning and ordering. We present in this paper the main research topics that we want to cover in this project in order to achieve our goals, as well as some midterm results regarding parallel graph ordering.