OpenMP tools interface: Synchronization information for data race detection

Joachim Protze, Jonas Hahnfeld, Dong H. Ahn, Martin Schulz, Matthias S. Müller

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

When it comes to data race detection, complete information about synchronization, concurrency and memory accesses is needed. This information might be gathered at various levels of abstraction. For best results regarding accuracy this information should be collected at the abstraction level of the parallel programming paradigm. With the latest preview of the OpenMP specification, a tools interface (OMPT) was added to OpenMP. In this paper we discuss whether the synchronization information provided by OMPT is sufficient to apply accurate data race analysis for OpenMP applications. We further present some implementation details and results for our data race detection tool called Archer which derives the synchronization information from OMPT.

Original languageEnglish
Title of host publicationScaling OpenMP for Exascale Performance and Portability - 13th International Workshop on OpenMP, IWOMP 2017, Proceedings
EditorsBronis R. de Supinski, Barbara M. Chapman, Christian Terboven, Matthias S. Muller, Stephen L. Olivier
PublisherSpringer Verlag
Pages249-265
Number of pages17
ISBN (Print)9783319655772
DOIs
StatePublished - 2017
Externally publishedYes
Event13th International Workshop on OpenMP, IWOMP 2017 - Stony Brook, United States
Duration: 20 Sep 201722 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10468 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Workshop on OpenMP, IWOMP 2017
Country/TerritoryUnited States
CityStony Brook
Period20/09/1722/09/17

Fingerprint

Dive into the research topics of 'OpenMP tools interface: Synchronization information for data race detection'. Together they form a unique fingerprint.

Cite this