The paper presents SmartNetSolve, an extension of NetSolve, the programming system for high performance Grid computing. The extension is aimed at higher performance of Grid applications by improving the mapping of remote tasks and allowing them to communicate directly. To achieve more optimal mapping SmartNetSolve allows a group of tasks to be scheduled collectively, meanwhile NetSolve only allows for individual and independent mapping of remote tasks. SmartNetSolve also extends the communication model of the application by allowing remote tasks to communicate directly. The paper presents the overall design of the SmartNetSolve programming system with particular focus on its motivation and the underlying execution and communication models.
Thomas Brady, E. Konstantinov, Alexey L. Lastovets