嵌入式ram的内置自检和修复(BISTR)技术

Shyue-Kung Lu, Shih-Chang Huang
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引用次数: 15

摘要

高密度和高容量嵌入式存储器是成功实现片上系统的重要组成部分。由于嵌入式存储核心通常占据芯片面积的很大一部分,因此它们将主导系统芯片的制造产量。本文针对具有一维冗余(冗余行)结构的半导体存储器,提出了一种内置自检与修复(BISTR)方法。内存行实际上被划分为行块,并且在行块级别而不是传统的行级别执行重新配置。即使用虚拟分词线(VDWL)概念修复内存内核。硬件开销几乎可以忽略不计。实现了一个实验芯片,并显示出低面积开销-对于具有4个备用行的256 /spl times/ 512 SRAM约为3.06%。我们还比较了我们的方法与以前的记忆修复算法的修复率。结果表明,我们的方法显著提高了修复率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Built-in self-test and repair (BISTR) techniques for embedded RAMs
High-density and high capacity embedded memories are important components for successful implementation of a system-on-a-chip. Since embedded memory cores usually occupy a large portion of the chip area, they will dominate the manufacturing yield of the system chips. In this paper, a built-in self-test and repair (BISTR) approach is proposed for semiconductor memories with 1-D redundancy (redundant rows) structures. The memory rows are virtually divided into row blocks and reconfiguration is performed at the row block level instead of the traditional row level. That is, the virtual divided word line (VDWL) concept is used for repairing of memory cores. The hardware overhead is almost negligible. An experimental chip is implemented and shows a low area overhead - about 3.06% for a 256 /spl times/ 512 SRAM with 4 spare rows. We also compare the repair rate of our approach with previous memory repair algorithms. It also concludes that our approach improves the repair rate significantly.
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