CAROL-FI:现代高性能计算并行加速器漏洞评估的高效故障注入工具

Daniel Oliveira, Vinicius Fratin, P. Navaux, I. Koren, P. Rech
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引用次数: 12

摘要

瞬态故障是大规模高性能计算系统的主要问题,当我们接近百亿亿级时,需要高效地缓解不利的故障影响。我们开发了一种故障注入工具(CAROL-FI)来识别不利故障影响的潜在来源。通过对这些影响的更深入了解,我们提供了有用的见解来设计有效的缓解技术,例如对代码的关键部分进行选择性强化。我们进行了一次故障注入活动,向执行六个代表性HPC程序的Intel Xeon Phi处理器注入了67,000多个故障。我们表明,选择性加固可以成功地应用于DGEMM和Hotspot,而LavaMD和NW可能需要完整的代码加固。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CAROL-FI: an Efficient Fault-Injection Tool for Vulnerability Evaluation of Modern HPC Parallel Accelerators
Transient faults are a major problem for large scale HPC systems, and the mitigation of adverse fault effects need to be highly efficient as we approach exascale. We developed a fault injection tool (CAROL-FI) to identify the potential sources of adverse fault effects. With a deeper understanding of such effects, we provide useful insights to design efficient mitigation techniques, like selective hardening of critical portions of the code. We performed a fault injection campaign injecting more than 67,000 faults into an Intel Xeon Phi executing six representative HPC programs. We show that selective hardening can be successfully applied to DGEMM and Hotspot while LavaMD and NW may require a complete code hardening.
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