AMEEDA: A General-Purpose Mapping Tool for Parallel Applications on Dedicated Clusters (Research Note)

  • Authors:
  • X. Yuan;Concepció Roig;Ana Ripoll;Miquel A. Senar;Fernando Guirado;Emilio Luque

  • Affiliations:
  • -;-;-;-;-;-

  • Venue:
  • Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
  • Year:
  • 2002

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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.