NDLI: Framework for instruction-level tracing and analysis of program executions

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Framework for instruction-level tracing and analysis of program executions

Content Provider	ACM Digital Library
Author	Murray, Ron Mihočka, Darek Bhansali, Sanjay Chau, Joe de Jong, Stuart Edwards, Andrew Drinić, Milenko Chen, Wen-Ke
Abstract	Program execution traces provide the most intimate details of a program's dynamic behavior. They can be used for program optimization, failure diagnosis, collecting software metrics like coverage, test prioritization, etc. Two major obstacles to exploiting the full potential of information they provide are: (i) performance overhead while collecting traces, and (ii) significant size of traces even for short execution scenarios. Reducing information output in an execution trace can reduce both performance overhead and the size of traces. However, the applicability of such traces is limited to a particular task. We present a runtime framework with a goal of collecting a complete, machine- and task-independent, user-mode trace of a program's execution that can be re-simulated deterministically with full fidelity down to the instruction level. The framework has reasonable runtime overhead and by using a novel compression scheme, we significantly reduce the size of traces. Our framework enables building a wide variety of tools for understanding program behavior. As examples of the applicability of our framework, we present a program analysis and a data locality profiling tool. Our program analysis tool is a time travel debugger that enables a developer to debug in both forward and backward direction over an execution trace with nearly all information available as in a regular debugging session. Our profiling tool has been used to improve data locality and reduce the dynamic working sets of real world applications.
Starting Page	154
Ending Page	163
Page Count	10
File Format	PDF
ISBN	1595933328
DOI	10.1145/1134760.1220164
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-06-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Code replay Callback Time-travel debugging Code emulation Tracing
Content Type	Text
Resource Type	Article

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