ACR: Automatic checkpoint/restart for soft and hard error protection

ACR: Automatic checkpoint/restart for soft and hard error protection
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ACR:自动检查点/重启以实现软硬错误保护

DOI:
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发表时间:
2013
期刊:
2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
影响因子:
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通讯作者:
L. Kalé
L. Kalé
中科院分区:
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文献类型:
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作者:
Xiang Ni;Esteban Meneses;Nikhil Jain;L. Kalé

文献摘要

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随着机器规模的增加,许多研究人员预测故障率将相应增加。软错误不会抑制执行,但可能会默默地生成不正确的结果。最近的趋势表明,软错误率正在增加,因此必须检测和处理它们以保持正确性。我们提出了一个整体的方法,自动检测和恢复软或硬故障,最小的应用程序干预。这是由ACR证明的:自动检查点/重启框架,执行应用程序复制,并使用有关当前故障率的在线信息自动调整检查点周期。ACR执行应用程序和用户无关的恢复。我们通过注入遵循五个应用程序的不同分布的故障来实证测试ACR,并在扩展到131,072个核心时显示出低开销。我们还分析了软错误和硬错误之间的相互作用,并提出了三个恢复方案,探讨性能和可靠性要求之间的权衡。
As machines increase in scale, many researchers have predicted that failure rates will correspondingly increase. Soft errors do not inhibit execution, but may silently generate incorrect results. Recent trends have shown that soft error rates are increasing, and hence they must be detected and handled to maintain correctness. We present a holistic methodology for automatically detecting and recovering from soft or hard faults with minimal application intervention. This is demonstrated by ACR: an automatic checkpoint/restart framework that performs application replication and automatically adapts the checkpoint period using online information about the current failure rate. ACR performs an application- and user-oblivious recovery. We empirically test ACR by injecting failures that follow different distributions for five applications and show low overhead when scaled to 131,072 cores. We also analyze the interaction between soft and hard errors and propose three recovery schemes that explore the trade-off between performance and reliability requirements.