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Automatic refinement of parallel applications structure detection

Author
González, J.; Huck, K.; Gimenez, J.; Labarta, J.
Type of activity
Presentation of work at congresses
Name of edition
26th IEEE International Parallel and Distributed Processing Symposium
Date of publication
2012
Presentation's date
2012-05-21
Book of congress proceedings
IEEE 26th International Parallel and Distributed Processing Symposium workshops & PhD forum (IPDPSW), 2012: 21-25 May 2012, Shanghai, China
First page
1680
Last page
1687
DOI
https://doi.org/10.1109/IPDPSW.2012.209 Open in new window
Repository
http://hdl.handle.net/2117/19275 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06270842 Open in new window
Abstract
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...
Citation
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.
Group of research
CAP - High Performace Computing Group

Participants

  • González Garcia, Juan  (author and speaker )
  • Huck, Kevin  (author and speaker )
  • Gimenez Lucas, Judit  (author and speaker )
  • Labarta Mancho, Jesus Jose  (author and speaker )