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Proceedings ArticleDOI

Eraser: a dynamic data race detector for multi-threaded programs

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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.

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Citations
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Proceedings ArticleDOI

Type-based race detection for Java

TL;DR: This paper presents a static race detection analysis for multithreaded Java programs based on a formal type system capable of capturing many common synchronization patterns, including classes with internal synchronization, classes that require client-side synchronization, and thread-local classes.
Proceedings ArticleDOI

Hybrid dynamic data race detection

TL;DR: A formalization of locksetbased and happens-before-based approaches in a common framework is presented, allowing us to prove a "folk theorem" that happens- before detection reports fewer false positives than lockset-based detection (but can report more false negatives), and to prove that two key optimizations are correct.

Electronic Notes in Theoretical Computer Science

TL;DR: It is shown how Simulink models from which control programs are automatically extracted can be tested with respect to qualitative models, which are anabstraction of quantitative physical models for test case generation and test execution.
Proceedings ArticleDOI

Efficient and precise datarace detection for multithreaded object-oriented programs

TL;DR: This work presents a novel approach to dynamic datarace detection for multithreaded object-oriented programs that results in very few false positives and runtime overhead in the 13% to 42% range, making it both efficient and precise.
Proceedings ArticleDOI

Atomizer: a dynamic atomicity checker for multithreaded programs

TL;DR: This work focuses on the fundamental noninterference property of atomicity and presents a dynamic analysis for detecting atomicity violations, which combines ideas from both Lipton 's theory of reduction and earlier dynamic race detectors such as Eraser.
References
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Book ChapterDOI

Time, clocks, and the ordering of events in a distributed system

TL;DR: In this paper, the concept of one event happening before another in a distributed system is examined, and a distributed algorithm is given for synchronizing a system of logical clocks which can be used to totally order the events.
Journal ArticleDOI

Time, clocks, and the ordering of events in a distributed system

TL;DR: In this article, the concept of one event happening before another in a distributed system is examined, and a distributed algorithm is given for synchronizing a system of logical clocks which can be used to totally order the events.
Journal ArticleDOI

Monitors: an operating system structuring concept

TL;DR: In this paper, the authors develop Brinch-Hansen's concept of a monitor as a method of structuring an operating system and describe a possible method of implementation in terms of semaphores and give a suitable proof rule.
Proceedings ArticleDOI

Extensibility safety and performance in the SPIN operating system

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

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.