Efficient hierarchical self-scheduling for MPI applications executing in computational Grids
MGC '05 Proceedings of the 3rd international workshop on Middleware for grid computing
Dynamic self-scheduling for parallel applications with task dependencies
Proceedings of the 6th international workshop on Middleware for grid computing
MPI Applications on Grids: A Topology Aware Approach
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
Low cost self-healing in MPI applications
PVM/MPI'07 Proceedings of the 14th European conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface
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Computational grids aim to aggregate significant numbers of resources to provide sufficient, but low cost, computational power to an ever growing variety applications. Writing applications capable of executing efficiently in these grid environments is however extremely difficult for inexperienced users. The grid's geographically distributed resources are typically heterogeneous, non-dedicated, and are offered without any performance or availability guarantees. This work investigates an alternative approach (based on smarter system-aware applications) to solve the problem of developing and managing the execution of grid applications efficiently. Results show that these system-aware MPI applications are indeed faster than their conventional implementations and easily grid enabled.