Efficient scheduling of arbitrary task graphs to multiprocessors using a parallel genetic algorithm
Journal of Parallel and Distributed Computing - Special issue on parallel evolutionary computing
A grid-enabled MPI: message passing in heterogeneous distributed computing systems
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A decoupled scheduling approach for the GrADS program development environment
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
A Directory Service for Configuring High-Performance Distributed Computations
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
Journal of Parallel and Distributed Computing - Special issue on middleware
VFC: The Vienna Fortran Compiler
Scientific Programming
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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-and-play genetic algorithm.