TraceAnalyzer: a system for processing performance traces |
| |
Authors: | Amer Diwan Matthias Hauswirth Todd Mytkowicz Peter F Sweeney |
| |
Affiliation: | 1. University of Colorado at Boulder, Boulder, CO 80309, U.S.A.;2. University of Lugano, Switzerland;3. IBM Research, NY, U.S.A. |
| |
Abstract: | The performance of a program often varies significantly over the course of the program's run. Thus, to understand the performance of a program it is valuable to look not just at end‐to‐end metrics (e.g. total number of cache misses) but also the time‐varying performance of the program. Unfortunately, analyzing time‐varying performance is both cumbersome and difficult. This paper makes three contributions, all geared toward helping others in working with traces. First, it describes a system, the TraceAnalyzer, designed specifically for working with performance traces; a performance trace captures the time‐varying performance of a program run. Second, it describes lessons that we have learned from many years of working with these traces. Finally, it uses a case study to demonstrate how we have used the TraceAnalyzer to understand a performance anomaly. Copyright © 2010 John Wiley & Sons, Ltd. |
| |
Keywords: | performance analysis traces data processing statistics |
|
|