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An Optimal Memory BISR Implementation

机译:最佳内存BISR实现

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—Although integrated circuits (IC) shrink in size as the fabrication technology progresses, circuit designers always attempt to incorporate as much functionality as possible into a single die. Processor chips, particularly those used in data communications, are known to have the highest transistor density because they contain the highest percentage of embedded memories. In some cases, embedded memories occupy 50-80% of the die area. With inherently high density of memories, the manufacturing yield can become very poor even in a mature process. Also to keep the test cost affordable, having Built-In Self Tests (BIST) for memories is essential although testing would not improve the yield by itself. It has become a common practice to implement some type of memory repair scheme along with BIST in memory dominant IC designs. In this writing, such an integrated scheme is referred as Memory Built-In Self Repair (MBISR.) This paper elaborates a few practical criteria on designing and implementing built-in self-test circuits for testing and repairing a large number of embedded memories of different types and sizes in a single Integrated Circuit (IC). Various test architectures presented in this paper provide for different optimizing criteria such as test time, routing feasibility, silicon overhead, and dynamic power compliance. The repair circuits are based on the most popular and widely accepted built-in-selftest strategy, and are power aware, repair friendly, and supports scan based testing of random glue logic in SOC designs. These features are useful primarily in SOC testing because such designs typically contain many memories that are large but repairable. Without an effective repair scheme, the production yield of a SOC containing a large numbers of embedded memory types and instances may severely be compromised. We selected one of the optimizing criteria as the main objective, and made the relevant repair scheme implemented on a processor chip using a mature 0.18 micron process due to its low cost of fabrication. The repair scheme allowed self testing and repair at both wafer and package levels. We present the silicon data showing the actual Return On Yield (ROY) due to the built-in repair scheme when the repair scheme was dynamically controlled at test time.
机译:- 尽管集成电路(IC)缩小尺寸随着制造技术的进展而缩小,但电路设计人员始终尝试将尽可能多的功能融入单个模具。已知具有最高晶体管密度的处理器芯片,特别是那些在数据通信中使用的处理器芯片。它们包含嵌入存储器的最高百分比。在某些情况下,嵌入式记忆占50-80%的模具区域。具有固有的高密度的记忆,即使在成熟过程中,制造产量也会变得非常差。同样为了保持测试成本实惠,具有用于存储器的内置自测(BIST)是必不可少的,尽管测试不会通过自身提高产量。它已成为实现某种类型的记忆修复方案以及BIST在内存主导IC设计中的常见做法。在这种写作中,这样的集成方案被称为内存内置自修复(MBISR。)本文详细阐述了设计和实施内置自测电路的一些实用标准,用于测试和修复大量嵌入式记忆单个集成电路(IC)中的不同类型和大小。本文提出的各种测试架构提供了不同的优化标准,如测试时间,路由可行性,硅开销和动态功率合规性。维修电路基于最受欢迎和广泛接受的内置自信的策略,并且是动力感知,维修友好,并支持SoC设计中随机胶逻辑的扫描测试。这些功能主要是在SOC测试中的用途,因为这种设计通常包含许多很大但可修复的存储器。如果没有有效的修复方案,则可能严重损害包含大量嵌入式内存类型和实例的SOC的生产率。我们选择了作为主要目标的优化标准之一,并且由于其制造的低成本,使用成熟0.18微米工艺在处理器芯片上实现了相关的修复方案。修理方案允许在晶圆和包装水平的自检和修复。我们介绍了由于在测试时间动态控制修理方案时由于内置修复方案而产生的实际返回(Roy)的硅数据。

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