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» Memory-Model-Sensitive Data Race Analysis
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ICFEM
2004
Springer
13 years 10 months ago
Memory-Model-Sensitive Data Race Analysis
Abstract. We present a “memory-model-sensitive” approach to validating correctness properties for multithreaded programs. Our key insight is that by specifying both the inter-t...
Yue Yang, Ganesh Gopalakrishnan, Gary Lindstrom
NFM
2011
223views Formal Methods» more  NFM 2011»
12 years 11 months ago
Generating Data Race Witnesses by an SMT-Based Analysis
Abstract. Data race is one of the most dangerous errors in multithreaded programming, and despite intensive studies, it remains a notorious cause of failures in concurrent systems....
Mahmoud Said, Chao Wang, Zijiang Yang, Karem Sakal...
PPOPP
2011
ACM
12 years 7 months ago
GRace: a low-overhead mechanism for detecting data races in GPU programs
In recent years, GPUs have emerged as an extremely cost-effective means for achieving high performance. Many application developers, including those with no prior parallel program...
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawa...
SIGSOFT
2007
ACM
14 years 5 months ago
RELAY: static race detection on millions of lines of code
Data races occur when multiple threads are about to access the same piece of memory, and at least one of those accesses is a write. Such races can lead to hard-to-reproduce bugs t...
Jan Wen Voung, Ranjit Jhala, Sorin Lerner
TSE
2010
180views more  TSE 2010»
13 years 2 months ago
Aspect-Oriented Race Detection in Java
—In the past, researchers have developed specialized programs to aid programmers in detecting concurrent programming errors such as deadlocks, livelocks, starvation, and data rac...
Eric Bodden, Klaus Havelund