Publication detail
AtomRace: data race and atomicity violation detector and healer
LETKO, Z. VOJNAR, T. KŘENA, B.
Original Title
AtomRace: data race and atomicity violation detector and healer
English Title
AtomRace: data race and atomicity violation detector and healer
Type
conference paper
Language
en
Original Abstract
The paper proposes a novel algorithm called AtomRace for a dynamic detection of data races. Data races are detected as a special case of atomicity violations on atomic sections specially defined to span just particular read/write instructions and the transfer of control to and from them. A key ingredient allowing AtomRace to efficiently detect races on such short atomic sections is a use of techniques for a careful injection of noise into the scheduling of the monitored programs. The approach is very simple, fully automated, avoids false alarms, and allows for a lower overhead and better scalability than many other existing dynamic data race detection algorithms. We illustrate these facts by a set of experiments with a prototype implementation of AtomRace. Further, AtomRace can also be applied to detect atomicity violations on more general atomic sections than those used for the data race detection. They can be defined by the user or obtained by some static analysis.
English abstract
The paper proposes a novel algorithm called AtomRace for a dynamic detection of data races. Data races are detected as a special case of atomicity violations on atomic sections specially defined to span just particular read/write instructions and the transfer of control to and from them. A key ingredient allowing AtomRace to efficiently detect races on such short atomic sections is a use of techniques for a careful injection of noise into the scheduling of the monitored programs. The approach is very simple, fully automated, avoids false alarms, and allows for a lower overhead and better scalability than many other existing dynamic data race detection algorithms. We illustrate these facts by a set of experiments with a prototype implementation of AtomRace. Further, AtomRace can also be applied to detect atomicity violations on more general atomic sections than those used for the data race detection. They can be defined by the user or obtained by some static analysis.
Keywords
detection, healing, atomicity violation, data race, Java
RIV year
2008
Released
14.07.2008
Publisher
Association for Computing Machinery
Location
Seattle
ISBN
978-1-60558-052-4
Book
PADTAD '08
Edition
Proceedings of the 6th workshop on Parallel and distributed systems
Edition number
NEUVEDEN
Pages from
1
Pages to
10
Pages count
10
URL
Documents
BibTex
@inproceedings{BUT30496,
author="Zdeněk {Letko} and Tomáš {Vojnar} and Bohuslav {Křena}",
title="AtomRace: data race and atomicity violation detector and healer",
annote="The paper proposes a novel algorithm called AtomRace for a
dynamic detection of data races. Data races are detected as a special case of
atomicity violations on atomic sections specially defined to span just particular
read/write instructions and the transfer of control to and from them. A key
ingredient allowing AtomRace to efficiently detect races on such short atomic
sections is a use of techniques for a careful injection of noise into the
scheduling of the monitored programs. The approach is very simple, fully
automated, avoids false alarms, and allows for a lower overhead and better
scalability than many other existing dynamic data race detection algorithms. We
illustrate these facts by a set of experiments with a prototype implementation of
AtomRace. Further, AtomRace can also be applied to detect atomicity violations
on more general atomic sections than those used for the data race detection. They
can be defined by the user or
obtained by some static analysis.",
address="Association for Computing Machinery",
booktitle="PADTAD '08",
chapter="30496",
edition="Proceedings of the 6th workshop on Parallel and distributed systems",
howpublished="print",
institution="Association for Computing Machinery",
year="2008",
month="july",
pages="1--10",
publisher="Association for Computing Machinery",
type="conference paper"
}