The mapping of parallel applications constitutes a difficult problem for which very few practical tools are available. AMEEDA has been developed in order to overcome the lack of a general-purpose mapping tool. The automatic services provided in AMEEDA include instrumentation facilities, parameter extraction modules and mapping strategies. With all these services, and a novel graph formalism called TTIG, users can apply different mapping strategies to the corresponding application through an easy-to-use GUI, and run the application on a PVM cluster using the desired mapping.
References in zbMATH (referenced in 1 article , 1 standard article )
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- Yuan, X.; Roig, C.; Ripoll, A.; Senar, M. A.; Guirado, F.; Luque, E.: AMEEDA: A general-purpose mapping tool for parallel applications on dedicated clusters (2002)