Optimising Parallel Applications on the Grid Using Irregular Array Distributions

In this paper we propose a new approach for scheduling data parallel applications on the Grid using irregular array distributions. We implement the scheduler as a new case study for using a general purpose experiment management tool that we developed in previous work for performance tuning and optimisation of scientific applications. We report results on scheduling a Jacobi relaxation application on a simulation testbed of the Austrian Grid [2] using a problem independent plug-andplay genetic algorithm.

• Type: Conference
• Year: 2005
• Where: EGC
• Authors: Radu Prodan, Thomas Fahringer
• Keywords: Data Parallel Applications, Distributed And Parallel Computing, EGC 2005, Irregular Array Distributions, Jacobi Relaxation Application