性能VS可靠性:如何在安全关键应用中利用近似计算

G. Rodrigues, F. Kastensmidt, V. Pouget, A. Bosio
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引用次数: 8

摘要

近似计算(AxC)范式旨在设计节能系统,节省计算资源,并呈现更好的执行时间。AxC的目标是有选择地违反规范,以精度换取效率。在文献中已经证明了实现不精确算法的软件和硬件组件的不精确计算的有效性,显示出对错误的固有弹性。另一方面,AxC的隐性成本是对应用程序错误的固有弹性的降低。本文旨在分析AxC对可靠性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performances VS Reliability: how to exploit Approximate Computing for Safety-Critical applications
Approximate Computing (AxC) paradigm aims at designing energy-efficient systems, saving computational resources, and presenting better execution times. AxC aims to selectively violate the specifications, trading accuracy off for efficiency. It has been demonstrated in the literature the effectiveness of imprecise computation for both software and hardware components implementing inexact algorithms, showing an inherent resiliency to errors. On the other hand, the hidden cost of AxC is the reduction on the inherent resiliency to errors of an application. This paper aims at analyzing the impact of AxC on the reliability.
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