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A BIRA for Memories With an Optimal Repair Rate Using Spare Memories for Area Reduction

机译:使用备用内存减少面积的最佳修复率的BIRA

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The test cost and yield improvement of embedded memories have become very important as memory capacity and density have grown. For embedded memories, built-in redundancy analysis (BIRA) is widely used to improve yield by replacing faulty cells with a 2-D redundancy architecture. However, the most important factor in BIRA is the reduction of hardware overhead while keeping optimal repair rate. Most BIRA approaches require extra hardware overhead in order to store and analyze faults in the memory. These approaches do not utilize spare memories during the redundancy analysis (RA) procedure. However, the proposed BIRA minimizes area overhead by utilizing a part of the spare memory as an address mapping table (AMT). Since storing the faulty memory addresses take most of the extra hardware overhead, the reduced logical addresses produced by the AMT are used to reduce the extra hardware overhead. In addition, the reduced addresses are stored in content-addressable memories (CAMs) and used in the RA procedure. The proposed BIRA can achieve an optimal repair rate by using an exhaustive search RA algorithm. The proposed RA algorithm compares the repair solution candidates with all the fault addresses stored in the proposed CAMs to guarantee an exhaustive search. The experimental results show that the proposed BIRA requires a smaller area overhead than that of the previous state-of-the-art BIRA with an optimal repair rate.
机译:随着存储器容量和密度的增长,嵌入式存储器的测试成本和良率的提高变得非常重要。对于嵌入式存储器,内置冗余分析(BIRA)被广泛用于通过将故障单元替换为二维冗余架构来提高产量。但是,BIRA中最重要的因素是减少硬件开销,同时保持最佳的修复率。大多数BIRA方法都需要额外的硬件开销才能存储和分析内存中的故障。这些方法在冗余分析(RA)过程中不使用备用内存。但是,建议的BIRA通过将备用存储器的一部分用作地址映射表(AMT)来最大程度地减少区域开销。由于存储故障内存地址会占用大多数额外的硬件开销,因此AMT产生的减少的逻辑地址用于减少额外的硬件开销。另外,减少的地址存储在内容可寻址存储器(CAM)中,并用于RA过程。通过使用穷举搜索RA算法,提出的BIRA可以达到最佳修复率。提出的RA算法将修复解决方案候选对象与提议的CAM中存储的所有故障地址进行比较,以确保进行详尽的搜索。实验结果表明,与具有最佳修复率的最新BIRA相比,拟议的BIRA所需的区域开销较小。

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