On-line detection of large-scale parallel application's structure
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hdl:2117/24309
Tipus de documentText en actes de congrés
Data publicació2010
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés restringit per política de l'editorial
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
With larger and larger systems being constantly deployed,
trace-based performance analysis of parallel
applications has become a daunting task. Even if
the amount of performance data gathered per single
process is small, traces rapidly become unmanageable
when merging together the information collected
from all processes.
In general, an e cient analysis of such a large volume
of data is subject to a previous ltering step that
directs the analyst's attention towards what is meaningful
to understand the observed application behavior.
Furthermore, the iterative nature of most scienti
c applications usually ends up producing repetitive
information. Discarding irrelevant data aims at reducing
both the size of traces, and the time required
to perform the analysis and deliver results.
In this paper, we present an on-line analysis framework
that relies on clustering techniques to intelligently
select the most relevant information to understand
how does the application behave, while keeping
the trace volume at a reasonable size.
CitacióLlort, G. [et al.]. On-line detection of large-scale parallel application's structure. A: IEEE International Parallel and Distributed Processing Symposium. "IEEE International Symposium on Parallel & Distributed Processing: IPDPS 2010: Atlanta, Georgia, USA: 19-23 April 2010". Atlanta, GA: Institute of Electrical and Electronics Engineers (IEEE), 2010, p. 1-10.
ISBN978-1-4244-6441-8
Versió de l'editorhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5470350
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On-line detecti ... pplication’s structure.pdf | On-line detection of large-scale parallel application’s structure | 1,752Mb | Accés restringit |