DocumentCode :
2798777
Title :
Using Dynamic Tracing Sampling to Measure Long Running Programs
Author :
Odom, Jeffrey ; Hollingsworth, Jeffrey K. ; DeRose, Luiz ; Ekanadham, Kattamuri ; Sbaraglia, Simone
Author_Institution :
University of Maryland
fYear :
2005
fDate :
12-18 Nov. 2005
Firstpage :
59
Lastpage :
59
Abstract :
Detailed cache simulation can be useful to both system developers and application writers to understand an application’s performance. However, measuring long running programs can be extremely slow. In this paper we present a technique to use dynamic sampling of trace snippets throughout an application’s execution. We demonstrate that our approach improves accuracy compared to sampling a few timesteps at the beginning of execution by judiciously choosing the frequency, as well as the points in the control flow, at which samples are collected. Our approach is validated using the SIGMA tracing and simulation framework for the IBM Power family of processors.
Keywords :
Adaptive mesh refinement; Computational modeling; Computer science; Computer simulation; Counting circuits; Educational institutions; Hardware; Instruments; Permission; Sampling methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Supercomputing, 2005. Proceedings of the ACM/IEEE SC 2005 Conference
Print_ISBN :
1-59593-061-2
Type :
conf
DOI :
10.1109/SC.2005.77
Filename :
1560011
Link To Document :
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