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With the increasing popularity of multi-core machines, more and more sequential programs are being parallelized using OpenMP. However, it is not easy for programmers to write parallel programs correctly. Concurrency errors, such as data races and deadlocks. This paper presents a novel technique to detect data races and deadlocks using hybrid program analysis.
In the past, researchers have developed specialized programs to aid programmers in detecting concurrent programming errors such as deadlocks, livelocks, starvation, and data races. In this work, we propose a language extension to the aspect-oriented programming language AspectJ, in the form of three new pointcuts, lock(), unlock(), and maybeShared(). These pointcuts allow programmers to monitor program...
Dynamic program monitoring has been applied in software-intensive systems to detect runtime constraint violations and trigger system recovery actions. Uncontrolled monitoring activities may, however, delay detection of a violation for an unbounded time and, worse, affect the original system's schedulability. In this paper, we introduce the concept of predictable monitoring, which demands a bound on...
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