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Automatic refinement of parallel applications structure detection

Autor
González, J.; Huck, K.; Gimenez, J.; Labarta, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
26th IEEE International Parallel and Distributed Processing Symposium
Any de l'edició
2012
Data de presentació
2012-05-21
Llibre d'actes
IEEE 26th International Parallel and Distributed Processing Symposium workshops & PhD forum (IPDPSW), 2012: 21-25 May 2012, Shanghai, China
Pàgina inicial
1680
Pàgina final
1687
DOI
https://doi.org/10.1109/IPDPSW.2012.209 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/19275 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06270842 Obrir en finestra nova
Resum
Analyzing parallel programs has become increasingly difficult due to the immense amount of information collected on large systems. In this scenario, cluster analysis has been proved to be a useful technique to reduce the amount of data to analyze. A good example is the use of the density-based cluster algorithm DBSCAN to identify similar single program multiple data (SPMD) computing phases in message-passing applications. This structure detection simplifies the analyst work as the whole informat...
Citació
González, J. [et al.]. Automatic refinement of parallel applications structure detection. A: IEEE International Parallel and Distributed Processing Symposium. "2012 IEEE 26th International Parallel and Distributed Processing Symposium workshops & phd forum (IPDPSW)". 2012, p. 1680-1687.
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions

Participants

  • González Garcia, Juan  (autor ponent)
  • Huck, Kevin  (autor ponent)
  • Gimenez Lucas, Judit  (autor ponent)
  • Labarta Mancho, Jesus Jose  (autor ponent)