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Computational Grids are emerging as a popular paradigm for solving large-scale compute and data intensive problems in science, engineering, and commerce. However, application composition, resource management and scheduling in these environments is a complex undertaking. In this paper, we illustrate the creation of a virtual laboratory environment by(More)
Computational Grids are emerging as a popular paradigm for solving large-scale compute and data intensive problems in science, engineering, and commerce. However, application composition, resource management and scheduling in these environments is a complex undertaking. In this paper, we illustrate the creation of a virtual laboratory environment by(More)
We report on the RTGrid project, which investigates approaches for using high-performance computing infrastructures, such as the grid, in order to reduce the turnaround time of Monte Carlo (MC) simulation-based radiotherapy treatment planning. The main aim of this project is to render accurate dose calculations using MC simulations clinically feasible. To(More)
Nimrod is a family of tools that leverages Grid computing to support parameter space exploration for complex computational models. It encompasses Nimrod/G which schedules work across distributed high performance computers, Nimrod/O which searches design space using non-linear optimization heuristics and Nimrod/E which supports experimental design(More)
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