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Títol: Large event traces in parallel performance analysis.
Autor: Wolf, Felix
Freitag, Fèlix
Mohr, Bernd
Moore, Shirley
Wylie, Brian J. N.
Altres autors/autores: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Editorial: Springer Verlag
Matèries: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes
Distributed systems
Parallel computing
Performance analysis
Event tracing
Scalability
Sistemes distribuïts
Tipus de document: Conference report
Descripció: A powerful and widely-used method for analyzing the performance behavior of parallel programs is event tracing. When an application is traced, performancerelevant events, such as entering functions or sending messages, are recorded at runtime and analyzed post-mortem to identify and potentially remove performance problems. While event tracing enables the detection of performance problems at a high level of detail, growing trace-file size often constrains its scalability on large-scale systems and complicates management, analysis, and visualization of trace data. In this article, we survey current approaches to handle large traces and classify them according to the primary issues they address and the primary benefits they offer.
Altres identificadors i accés: Wolf, F; Freitag, F; Mohr, B; Moore, S; Wylie,B. Large event traces in parallel performance analysis.
3-540-32765-7
http://hdl.handle.net/2117/2281
Disponible al dipòsit:E-prints UPC
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