A paradigm shift is coming - continuous failure

A. Geist
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引用次数: 3

Abstract

Resilience is a measure of the ability of a computing system and its applications to continue working in the presence of system degradations and failures. This talk presents the factors that are driving an exponential increase in system fault rate. At the rate of increase, if the hardware and software are not fault tolerant at Exascale, then even relatively short-lived applications are unlikely to finish; or worse, the applications may complete with incorrect results. New paradigms must be developed for handling faults within both the system software and user applications. Also presented are new approaches for integrating detection algorithms in both the hardware and software and new techniques to help simulations adapt to faults.
一种模式的转变即将到来——持续的失败
弹性是计算系统及其应用程序在系统降级和故障的情况下继续工作的能力的度量。本次演讲介绍了导致系统故障率呈指数增长的因素。按照增长的速度,如果硬件和软件不能在Exascale上容错,那么即使是相对较短的应用程序也不太可能完成;或者更糟的是,应用程序可能会以不正确的结果完成。必须开发新的范例来处理系统软件和用户应用程序中的故障。此外,还介绍了硬件和软件集成检测算法的新方法,以及帮助仿真适应故障的新技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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