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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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How do programs become more concurrent: a story of program transformations

TL;DR: The findings educate software developers on how to parallelize sequential programs, and provide hints for tool vendors about what transformations are worth automating.
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Integrated Debugging of Large Modular Robot Ensembles

TL;DR: Inspired by the challenges faced while attempting to debug software on simulated ensembles of tens of thousands of modular robots, a new debugging tool particularly suited to the characteristics of highly parallel, event- and state-driven robotics software is developed.

Verification of Multithreaded Object-Oriented Programs with Invariants

TL;DR: Based on a recent methodology for object invariants in single-threaded programs, this new verification technique allows the definition of leak-proof ownership domains that guarantee that only one thread at a time can ever access a confined object.
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SimTester: a controllable and observable testing framework for embedded systems

TL;DR: SimTester is introduced, a framework that allows engineers to effectively test for subtle and non-deterministic concurrency faults by providing them with greater controllability and observability and shows that the framework can be effective and efficient at detecting these faults.
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Towards a better collaboration of static and dynamic analyses for testing concurrent programs

TL;DR: This paper presents a new testing technique which enables a tighter collaboration between static analysis and dynamic analysis, and consists of a static analysis module based on Soot and a dynamic analysis modules based on JPF (Java PathFinder).
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.