Parpatoh : A 2D-parallel hypergraph partitioning tool

Abstract

Hypergraph partitioning is a process that is being used to find solutions for optimization problems in various areas, including parallel volume rendering, parallel information retrieval and VLSI circuit design. While the current partitioning methods are adequate for hypergraphs up to certain size, these methods start to fail once the problem size exceeds this threshold. In this thesis we introduce ParPaToH, a parallel p-way hypergraph partitioning tool that makes use of a 2-D decomposition to reduce the communication overhead and implements a parallel-computing friendly version of the accepted multi-level partitioning paradigm to generate its partitioning. We present new concepts in hypergraph partitioning that lead to a coarse-grain parallel solution. Finally, we discuss the implementation of the tool in detail and present experimental results to demonstrate its effectiveness.