Proceedings ArticleDOI
Eraser: a dynamic data race detector for multi-threaded programs
Stefan Savage,Michael Burrows,Greg Nelson,Patrick G. Sobalvarro,Thomas Anderson +4 more
- Vol. 31, Iss: 5, pp 27-37
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TLDR
Eraser as mentioned in this paper uses binary rewriting techniques to monitor every shared memory reference and verify that consistent locking behavior is observed in lock-based multi-threaded programs, which can be used to detect data races.Abstract:
Multi-threaded programming is difficult and error prone. It is easy to make a mistake in synchronization that produces a data race, yet it can be extremely hard to locate this mistake during debugging. This paper describes a new tool, called Eraser, for dynamically detecting data races in lock-based multi-threaded programs. Eraser uses binary rewriting techniques to monitor every shared memory reference and verify that consistent locking behavior is observed. We present several case studies, including undergraduate coursework and a multi-threaded Web search engine, that demonstrate the effectiveness of this approach.read more
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References
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Proceedings ArticleDOI
Extensibility safety and performance in the SPIN operating system
Brian N. Bershad,Stefan Savage,Przemysław Pardyak,Emin Gün Sirer,Marc E. Fiuczynski,David Becker,Craig Chambers,Susan J. Eggers +7 more
TL;DR: This paper describes the motivation, architecture and performance of SPIN, an extensible operating system that provides an extension infrastructure together with a core set of extensible services that allow applications to safely change the operating system's interface and implementation.
Proceedings ArticleDOI
ATOM: a system for building customized program analysis tools
Amitabh Srivastava,Alan Eustace +1 more
TL;DR: ATOM as mentioned in this paper is a single framework for building a wide range of customized program analysis tools, including block counting, profiling, dynamic memory recording, instruction and data cache simulation, pipeline simulation, evaluating branch prediction, and instruction scheduling.