Parametric Influences on System Soft Error Rates

J. Peeples, Thomas J. Every
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引用次数: 2

Abstract

An extremely alpha-radiation sensitive test population of 16K RAMs was subjected to a test matrix designed to determine the actual influence of major system operating parameters on dynamic RAM alpha particle induced soft error rates. Two megabytes of memory (1024 each 16K RAMs) were exercised in a specially developed system capable of distinguishing between and logging all types of error/failure events. In excess of 4 million device hours were accumulated in the course of this experiment. The alpha particle induced soft error rate dependence on VDD, VBB, refresh interval, and system ambient temperature was investigated. A second population was subjected to tests designed to yield insight to the soft error rate behavior over the life of the system. A general description of the test system and a discussion of the philosophical aspects of error/failure event segregation is included. Parametric guidelines are developed and a microcomputer system example is presented to illustrate how these guidelines can be followed to minimize system level alpha induced soft error rates.
参数对系统软错误率的影响
对α辐射极为敏感的16K RAM测试群体进行了测试矩阵设计,以确定主要系统运行参数对动态RAM α粒子诱导软错误率的实际影响。在一个专门开发的系统中使用了2兆字节的内存(每个16K ram有1024个内存),该系统能够区分和记录所有类型的错误/故障事件。在实验过程中累积了超过400万的设备小时。研究了α粒子诱导的软错误率与VDD、VBB、刷新间隔和系统环境温度的关系。第二组人进行了测试,旨在深入了解系统生命周期内的软错误率行为。测试系统的一般描述和错误/失败事件分离的哲学方面的讨论包括在内。提出了参数准则,并给出了一个微机系统实例来说明如何遵循这些准则来最小化系统级α引起的软错误率。
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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