Heterogeneous partitioning in a workstation network

Abstract

We present several heterogeneous partitioning algorithms for parallel numerical applications. The goal is to adapt the partitioning to dynamic and unpredictable load changes on the nodes. The methods are based on existing homogeneous algorithms like orthogonal recursive bisection, parallel strips, and scattering. We apply these algorithms to a parallel numerical application in a network of heterogeneous workstations. The behavior of the individual methods in a system with dynamical load changes and heterogeneous nodes is investigated. In addition, the new methods are compared with the conventional methods for homogeneous partitioning. >