Program speedup in a heterogeneous computing network
Journal of Parallel and Distributed Computing - Special issue on heterogeneous processing
Grid programming: some indications where we are headed
Parallel Computing - Special issue: Advanced environments for parallel and distributed computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Implementation and utilisation of a Grid-enabled problem solving environment in Matlab
Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
Monte Carlo grid for financial risk management
Future Generation Computer Systems - Special issue: Parallel computing technologies
BABAR Experience of Large Scale Production on the Grid
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
From theory to practice: an overview of MIMO space-time coded wireless systems
IEEE Journal on Selected Areas in Communications
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This paper presents a problem solving environment (PSE) for the grid-enabled execution of Monte Carlo simulations. Our main concern during the design and development of the PSE was to hide the complexity of using the grid infrastructure from the actual users and simplify the way users run their application on grid resources. In order to assist non grid-expert users to execute their simulations on the grid, we have implemented transparent mechanisms that automatically create the appropriate scripts and components required for grid execution by taking as input plain Matlab files. The PSE sets up a temporary distributed Matlab environment on grid resources by using the Matlab Compiler and allows the concurrent execution of standard Matlab code. The PSE has been used for several Wideband Code Division Multiple Access (WCDMA) system simulation scenarios in the production grid provided by the EGEE infrastructure. Simulation results regarding performance of the PSE are presented.