Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
A TAXONOMY OF RACE DETECTION ALGORITHMS
A TAXONOMY OF RACE DETECTION ALGORITHMS
MultiRace: efficient on-the-fly data race detection in multithreaded C++ programs: Research Articles
Concurrency and Computation: Practice & Experience - Parallel and Distributed Systems: Testing and Debugging (PADTAD)
Learning from mistakes: a comprehensive study on real world concurrency bug characteristics
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)
Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)
FastTrack: efficient and precise dynamic race detection
Proceedings of the 2009 ACM SIGPLAN conference on Programming language design and implementation
Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
Evaluation and usability of programming languages and tools (PLATEAU)
Proceedings of the ACM international conference companion on Object oriented programming systems languages and applications companion
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OpenMP is widely used in practice to create parallel software, however, software quality assurance tool support is still immature. OpenMPspy introduces a new approach, with a short-term and a long-term perspective, to aid software engineers write better parallel programs in OpenMP. On the one hand, OpenMPspy acts like an online-debugger that statically detects problems with incorrect construct usage and which reports problems while programmers are typing code in Eclipse. We detect simple slips as well as more complex anti-patterns that can lead to correctness problems and performance problems. In addition, OpenMPspy can aggregate statistics about OpenMP language usage and bug patterns from many projects. Insights generated from such data help OpenMP language designers improve the usability of constructs and reduce error potential, thus enhancing parallel software quality in the long run. Using OpenMPspy, this paper presents one of the first detailed empirical studies of over 40 programs with more than 4 million lines of code, which shows how OpenMP constructs are actually used in practice. Our results reveal that constructs believed to be frequently used are actually rarely used. Our insights give OpenMP language and compiler designers a clearer picture on where to focus the efforts for future improvements.