A tool for the design and evaluation of hybrid scheduling algorithms for computational grids
MGC '04 Proceedings of the 2nd workshop on Middleware for grid computing
End-user tools for grid computing
WEUSE I Proceedings of the first workshop on End-user software engineering
Efficient hierarchical self-scheduling for MPI applications executing in computational Grids
MGC '05 Proceedings of the 3rd international workshop on Middleware for grid computing
Automating the development of scientific applications using domain-specific modeling
Proceedings of the second international workshop on Software engineering for high performance computing system applications
Dynamic self-scheduling for parallel applications with task dependencies
Proceedings of the 6th international workshop on Middleware for grid computing
Autonomic application management for large scale MPI programs
International Journal of High Performance Computing and Networking
A Grid framework to enable parallel and concurrent TMA image analyses
International Journal of Grid and Utility Computing
Service Oriented Approach to High Performance Scientific Computing
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Sequential Grid Computing: Models and Computational Experiments
INFORMS Journal on Computing
Adaptive resource remapping through live migration of virtual machines
ICA3PP'11 Proceedings of the 11th international conference on Algorithms and architectures for parallel processing - Volume Part I
A hybrid fault tolerance scheme for EasyGrid MPI applications
Proceedings of the 9th International Workshop on Middleware for Grids, Clouds and e-Science
A pro-middleware for grids computing
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
Sequential Grid Computing: Models and Computational Experiments
INFORMS Journal on Computing
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One of the goals of the Grid is to aggregate collections of shared, heterogeneous, and distributed resources to provide computational ‘power’ to parallel applications. However, designing applications capable of exploiting this potential with ease remains a challenge. This paper outlines the EasyGrid methodology for the efficient and robust execution of (legacy) MPI programs across distributed computing clusters. The principal objective of this work is to identify the application-oriented middleware necessary for, as well as to develop a framework to automatically generate, system-aware applications capable of executing in dynamic, unstable, distributed environments such as computational Grids. Copyright © 2004 John Wiley & Sons, Ltd.