Grid jobs often consist of a large number of tasks. If the performance of a statically scheduled grid job is unsatisfactory, one must decide which code of which task should be imp...
This paper presents the development and simulation of a novel Genetic Algorithm (GA) based methodology applied to optimal tuning of a fuzzy dispatching system for a fleet of autom...
Job Scheduling on Computational Grids is gaining importance due to the need for efficient large-scale Grid-enabled applications. Among different optimization techniques addressed ...
This paper describes performance tuning experiences with a three-dimensional unstructured grid Euler flow code from NASA, which we have reimplemented in the PETSc framework and p...
William Gropp, Dinesh K. Kaushik, David E. Keyes, ...
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 fo...