dc.contributor.author
Yuan, X.
dc.contributor.author
Roig Mateu, Concepció
dc.contributor.author
Ripoll, A.
dc.contributor.author
Senar, M.A.
dc.contributor.author
Guirado Fernández, Fernando
dc.contributor.author
Luque, Emilio
dc.date.accessioned
2024-12-05T21:27:06Z
dc.date.available
2024-12-05T21:27:06Z
dc.date.issued
2016-03-04T12:29:08Z
dc.date.issued
2016-03-04T12:29:08Z
dc.identifier
http://hdl.handle.net/10459.1/56679
dc.identifier.uri
http://hdl.handle.net/10459.1/56679
dc.description.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.
dc.description.abstract
This work was supported by the MCyT under contract 2001-2592 and partially sponsored by the Generalitat de Catalunya (G. de Rec. Consolidat 2001SGR-00218).
dc.publisher
Springer Verlag
dc.relation
Reproducció del document publicat a http://link.springer.com/chapter/10.1007%2F3-540-45706-2_32
dc.relation
Lecture Notes in Computer Science, 2002, vol. 2400, p. 248-252
dc.rights
(c) Springer Verlag, 2002
dc.rights
info:eu-repo/semantics/openAccess
dc.title
AMEEDA: A general-purpose mapping tool for parallel applications on dedicated clusters
