IEEE Transactions on Parallel and Distributed Systems

IEEE Transactions on Parallel and Distributed Systems (TPDS) is a scholarly archival journal published monthly. Parallelism and distributed computing are foundational research and technology to rapidly advance computer systems and their applications. Read the full scope of TPDS

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From the October 2016 Issue

Adaptive Impact-Driven Detection of Silent Data Corruption for HPC Applications

By Sheng Di and Franck Cappello

Free Featured ArticleFor exascale HPC applications, silent data corruption (SDC) is one of the most dangerous problems because there is no indication that there are errors during the execution. We propose an adaptive impact-driven method that can detect SDCs dynamically. The key contributions are threefold. (1) We carefully characterize 18 HPC applications/benchmarks and discuss the runtime data features, as well as the impact of the SDCs on their execution results. (2) We propose an impact-driven detection model that does not blindly improve the prediction accuracy, but instead detects only influential SDCs to guarantee user-acceptable execution results. (3) Our solution can adapt to dynamic prediction errors based on local runtime data and can automatically tune detection ranges for guaranteeing low false alarms. Experiments show that our detector can detect 80-99.99 percent of SDCs with a false alarm rate less that 1 percent of iterations for most cases. The memory cost and detection overhead are reduced to 15 and 6.3 percent, respectively, for a large majority of applications.

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Editorials and Announcements


  • According to Thomson Reuters' 2013 Journal Citation Report, TPDS has an impact factor of 2.173.

  • TPDS celebrates its 25th Anniversary. Editor-in-Chief David A. Bader says, "Congratulations to TPDS on its Silver Jubilee! For 25 years, TPDS has been the parallel and distributed computing community's flagship journal for research breakthroughs!"

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