Concept

Race condition

Related publications (63)

Disjoint-Access Parallelism Does Not Entail Scalability

Disjoint Access Parallelism (DAP) stipulates that operations involving disjoint sets of memory words must be able to progress independently, without interfering with each other. In this work we argue towards revising the two decade old wisdom saying that D ...

2014

Introducing Speculation in Self-Stabilization: An Application to Mutual Exclusion

Rachid Guerraoui

Self-stabilization ensures that, after any transient fault, the system recovers in a finite time and eventually exhibits correct behavior. Speculation consists in guaranteeing that the system satisfies its requirements for any execution but exhibits signif ...

2013

CoRD: A Collaborative Framework for Distributed Data Race Detection

George Candea, Cristian Zamfir, Baris Can Cengiz Kasikci

Modern concurrent software is riddled with data races and these races constitute the source of many problems. Data races are hard to detect accurately before software is shipped and, once they cause failures in production, developers find it challenging to ...

Usenix2012

On the Performance of Software Transactional Memory

Aleksandar Dragojevic

The recent proliferation of multi-core processors has moved concurrent programming into mainstream by forcing increasingly more programmers to write parallel code. Using traditional concurrency techniques, such as locking, is notoriously difficult and has ...

EPFL2012

Speculative Linearizability

Rachid Guerraoui, Viktor Kuncak, Giuliano Losa

Linearizability is a key design methodology for reasoning about implementations of concurrent abstract data types in both shared memory and message passing systems. It provides the illusion that operations execute sequentially and fault-free, despite the a ...

Assoc Computing Machinery2012

Data Races vs. Data Race Bugs: Telling the Difference with Portend

George Candea, Cristian Zamfir, Baris Can Cengiz Kasikci

Even though most data races are harmless, the harmful ones are at the heart of some of the worst concurrency bugs. Alas, spotting just the harmful data races in programs is like finding a needle in a haystack: 76%-90% of the true data races reported by sta ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2012

Speculative Linearizability

Rachid Guerraoui, Viktor Kuncak, Giuliano Losa

2011

Verification of STM on relaxed memory models

Rachid Guerraoui, Vasu Singh

Software transactional memories (STM) are described in the literature with assumptions of sequentially consistent program execution and atomicity of high level operations like read, write, and abort. However, in a realistic setting, processors use relaxed ...

Springer Verlag2011

Deadlock Immunity

Horatiu Jula

Deadlock immunity is a property by which programs, once afflicted by a deadlock, develop resistance against future occurrences of that deadlock. We enable real applications to automatically achieve immunity against deadlock bugs involving mutex locks, sema ...

EPFL2011

Accurately Classifying Data Races with Portend

George Candea, Cristian Zamfir, Baris Can Cengiz Kasikci

Even though most data races are harmless, the harmful ones are at the heart of some of the worst concurrency bugs. Eliminating all data races from programs is impractical (e.g., system performance could suffer severely), yet spotting just the harmful ones ...

2011

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