Abstract
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.
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CITATION STYLE
Yuan, X., Roig, C., Ripoll, A., Senar, M. A., Guirado, F., & Luque, E. (2002). AMEEDA: A general-purpose mapping tool for parallel applications on dedicated clusters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2400, pp. 248–252). Springer Verlag. https://doi.org/10.1007/3-540-45706-2_32
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