RAMSES-D: DRAM fault simulator supporting weighted coupling fault

Yu-Tsao Hsing, Song-Guang Wu, Cheng-Wen Wu
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引用次数: 6

Abstract

Memory fault simulator is an important tool for memory test sequence optimization. Traditionally, we use fault count to calculate fault coverage. However, it cannot represent accurately the real coupling fault distribution. In this paper, we adopt the concept of weighted coupling fault targeting DRAM. We propose a weighted fault coverage function with assigning weight parameters to coupling faults. With the weighted function, we can use physical information to calculate coupling fault coverage. Experimental result shows that the weight of intra-word coupling fault can be 10% to 14%; while the original fault count method cannot distinguish the degree of importance between different memory configurations.
RAMSES-D:支持加权耦合故障的DRAM故障模拟器
内存故障模拟器是内存测试序列优化的重要工具。传统上,我们使用故障计数来计算故障覆盖率。然而,它不能准确地表示实际的耦合故障分布。在本文中,我们采用了加权耦合故障定位的概念。我们提出了一个加权故障覆盖函数,为耦合故障分配权重参数。利用加权函数,可以利用物理信息计算耦合故障覆盖率。实验结果表明,字内耦合故障权重可达10% ~ 14%;而原有的故障计数方法无法区分不同内存配置的重要程度。
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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