Scalable thread visualization for debugging data races in OpenMP programs
- Authors
- Kim, Young-Joc; Lim, Jae-Seon; Jun, Yong-Kee
- Issue Date
- 2007
- Publisher
- SPRINGER-VERLAG BERLIN
- Keywords
- OpenMP programs; data race debugging; scalable thread visualization; three-dimensional visualization
- Citation
- ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS, v.4459, pp 310 - +
- Indexed
- SCIE
SCOPUS
- Journal Title
- ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS
- Volume
- 4459
- Start Page
- 310
- End Page
- +
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/29071
- ISSN
- 0302-9743
1611-3349
- Abstract
- It is important to debug unintended data races in OpenMP programs efficiently, because such programs are often complex and long-running. Previous tools for detecting the races does not provide any effective facility for understanding the complexity of threads involved in the reported races. This paper presents a thread visualization tool to present a partial order of threads executed in the traced programs with a scalable graph of abstract threads upon a three-dimensional cone. The scalable thread visualization is proved to be effective in debugging races using a set of synthetic programs.
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Collections - 공과대학 > Department of Aerospace and Software Engineering > Journal Articles

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