Dynamic software testing of MPI applications with umpire
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Communication Bandwidth of Parallel Programming Models on Hybrid Architectures
ISHPC '02 Proceedings of the 4th International Symposium on High Performance Computing
Toward Scalable Performance Visualization with Jumpshot
International Journal of High Performance Computing Applications
Performance characteristics of the multi-zone NAS parallel benchmarks
Journal of Parallel and Distributed Computing - Special issue: 18th International parallel and distributed processing symposium
Automated, scalable debugging of MPI programs with Intel® Message Checker
Proceedings of the second international workshop on Software engineering for high performance computing system applications
Concurrency and Computation: Practice & Experience - Component and Framework Technology in High-Performance and Scientific Computing
Development of mixed mode MPI / OpenMP applications
Scientific Programming
Fault Detection in Multi-Threaded C++ Server Applications
Electronic Notes in Theoretical Computer Science (ENTCS)
PNMPI tools: a whole lot greater than the sum of their parts
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
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The MPI interface is the de-facto standard for message passing applications, but it is also complex and defines several usage patterns as erroneous. A current trend is the investigation of hybrid programming techniques that use MPI processes and multiple threads per process. As a result, more and more MPI implementations support multi-threading, which are restricted by several rules of the MPI standard. In order to support developers of hybrid MPI applications, we present extensions to the MPI correctness checking tool Marmot. Basic extensions make it aware of OpenMP multi-threading, while further ones add new correctness checks. As a result, it is possible to detect errors that actually occur in a run with Marmot. However, some errors only occur for certain execution orders, thus, we present a novel approach using artificial data races, which allows us to employ thread checking tools, e.g., Intel Thread Checker, to detect MPI usage errors.