Avoiding silent data corruption in checkpoint files
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概要
- 論文の詳細を見る
Silent data corruption is one of the sources of inaccurate results for scientific simulations. As supercomputers grow from tens to hundreds of thousands of computing cores, errors are becoming the norm, therefore it is critical to guarantee the correctness of future scientific applications. In this paper we propose a technique to verify data on the fly just before taking a checkpoint in order to guarantee the correctness of the saved data. We evaluate the efficiency of our approach injecting random failures in a HPC application and demonstrate its low overhead while checkpointing at high frequency.
- 2012-09-26
著者
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Satoshi Matsuoka
Tokyo Institute of Technology
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Satoshi Matsuoka
Tokyo Institute Of Technology|national Institute Of Informatics|japan Science And Technology Agency
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Satoshi Matsuoka
National Inst. Of Informatics
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