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TOC-BISR: A SELF-REPAIR SCHEME FOR MEMORIES IN EMBEDDED SYSTEMS

机译:TOC-BISR:嵌入式系统中的内存自修复方案

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摘要

Memories are important components in embedded systems, since complex systems require more and more amount of data storage. Upcoming memories are more and more required to guarantee reliability for secure applications in the presence of massive soft and hard errors. This work proposes a fault tolerant customizable technique that combines EDAC, which can correct soft errors, and a built-in self-repair approach based on online testing and a Content Addressable Memory (CAM), which can tolerate hard errors. The goals of this approach are ensuring the correct operation of the system, extending the lifetime of the component, and improving the yield. This digital system was described in VHDL and synthesized in FPGA. The approach is customizable in terms of EDAC code, test algorithm and CAM size. The main advantage of the customization is to choose the best tradeoff between the number and type of tolerated and corrected errors compared to the area overhead and performance penalties for a target application.
机译:内存是嵌入式系统中的重要组件,因为复杂的系统需要越来越多的数据存储。为了在出现大量软错误和硬错误的情况下确保安全应用程序的可靠性,越来越需要即将到来的内存。这项工作提出了一种可容错的可定制技术,该技术结合了可以纠正软错误的EDAC和基于在线测试和可以容忍硬错误的内容可寻址内存(CAM)的内置自修复方法。此方法的目标是确保系统正确运行,延长组件的使用寿命并提高良率。该数字系统在VHDL中进行了描述,并在FPGA中进行了综合。该方法可根据EDAC代码,测试算法和CAM大小进行定制。定制的主要优点是,与目标应用程序的区域开销和性能损失相比,可以在允许和纠正的错误的数量和类型之间选择最佳折衷方案。

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