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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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Journal ArticleDOI

Reachability testing of concurrent programs

TL;DR: A general execution model for concurrent programs that allows reachability testing to be applied to several commonly used synchronization constructs is presented and a new method for performing reachable testing is presented.
Proceedings ArticleDOI

Proving correctness of highly-concurrent linearisable objects

TL;DR: These examples are demonstrative of common design patterns such as lock coupling, optimistic, and lazy synchronisation, and it is proved that they are linearisable, safe, and they correctly implement a high-level abstraction.
Proceedings ArticleDOI

The theory of deadlock avoidance via discrete control

TL;DR: This paper presents a theoretical foundation for dynamic deadlock avoidance in concurrent programs that employ conventional mutual exclusion and synchronization primitives and guarantees that the control logic is maximally permissive, and therefore permits maximal runtime concurrency.
Proceedings ArticleDOI

TaxDC: A Taxonomy of Non-Deterministic Concurrency Bugs in Datacenter Distributed Systems

TL;DR: This work studies 104 distributed concurrency bugs from four widely-deployed cloud-scale datacenter distributed systems, Cassandra, Hadoop MapReduce, HBase and ZooKeeper to present TaxDC, the largest and most comprehensive taxonomy of non-deterministic concurrence bugs in distributed systems.
Book ChapterDOI

Verify Your Runs

TL;DR: In this paper it is argued that regular economic use of program verification of arbitrary properties to be fully achieved within the 15 year time horizon of the challenge is not expected.
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.