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