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Cited 2 time in webofscience Cited 3 time in scopus
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Scalable thread visualization for debugging data races in OpenMP programs

Authors
Kim, Young-JocLim, Jae-SeonJun, 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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