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From International Center for Computational Logic
The widely used Message Passing Interface The widely used Message Passing Interface (MPI) with its multitude of communication functions is prone to usage errors. Runtime error detection tools aid in the removal of these errors. We develop MUST as one such tool that provides a wide variety of automatic correctness checks. Its correctness checks can be run in a distributed mode, except for its deadlock detection. This limitation applies to a wide range of tools that either use centralized detection algorithms or a timeout approach. In order to provide scalable and distributed deadlock detection with detailed insight into deadlock situations, we propose a model for MPI blocking conditions that we use to formulate a distributed algorithm. This algorithm implements scalable MPI deadlock detection in MUST. Stress tests at up to 4,096 processes demonstrate the scalability of our approach. Finally, overhead results for a complex benchmark suite demonstrate an average runtime increase of 34% at 2,048 processes.untime increase of 34% at 2,048 processes.  +
Christel Baier +, Tobias Hilbrich +, Bronis R. de Supinski +, Wolfgang E. Nagel +, Joachim Protze +  and Matthias S. Müller +
@inproceedings{HSNPBM2013,
  author    = {Tobias Hilbrich and Bronis R. de Supinski and Wolfgang E. Nagel
               and Joachim Protze and Christel Baier and Matthias S.
               M{\"{u}}ller},
  title     = {Distributed wait state tracking for runtime {MPI} deadlock
               detection},
  booktitle = {Proc. of the International Conference for High Performance
               Computing, Networking, Storage and Analysis (SC)},
  publisher = {ACM},
  year      = {2013},
  pages     = {16:1--12},
  doi       = {10.1145/2503210.2503237}
}
Inproceedings  +
Proc. of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC)  +
10.1145/2503210.2503237  +
16:1--12  +
Tobias Hilbrich, Bronis R. de Supinski, WoTobias Hilbrich, Bronis R. de Supinski, Wolfgang E. Nagel, Joachim Protze, Christel Baier, Matthias S. Müller<br/> '''[[Inproceedings1891207442|<b>Distributed wait state tracking for runtime MPI deadlock detection</b>]]''' <br/>__NOTOC__<i>Proc. of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC)</i>, 16:1--12, 2013. ACM<br/><span class="fas fa-chevron-right" style="font-size: 85%;" ></span> [[Inproceedings1891207442|Details]]edings1891207442|Details]]  +
Tobias Hilbrich, Bronis R. de Supinski, WoTobias Hilbrich, Bronis R. de Supinski, Wolfgang E. Nagel, Joachim Protze, Christel Baier, Matthias S. Müller<br/> '''[[Inproceedings1891207442/en|<b>Distributed wait state tracking for runtime MPI deadlock detection</b>]]''' <br/>__NOTOC__<i>Proc. of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC)</i>, 16:1--12, 2013. ACM<br/><span class="fas fa-chevron-right" style="font-size: 85%;" ></span> [[Inproceedings1891207442|Details]]edings1891207442|Details]]  +
ACM  +
Distributed wait state tracking for runtime MPI deadlock detection  +
inproceedings  +
2013  +
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Distributed wait state tracking for runtime MPI deadlock detection  +
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