现场基于noc的SoC测试与分布式测试向量存储

J. Lee, R. Mahapatra
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引用次数: 7

摘要

SoC和微处理器的运行寿命面临着技术扩展和器件温度和功率密度不断提高的威胁。基于noc的SoC的现场(或在线)测试是确保系统在可能较短的使用寿命内完整性的重要技术。无论现场测试是与正常应用程序并发进行还是单独执行,都必须将应用程序入侵最小化,以维护系统可用性。专门的基础设施IP已经提出,通过调度测试和从集中位置向SoC内的各种内核交付测试向量来管理在线测试。然而,随着集成到单个芯片中的核心数量不断增加,从集中位置发布测试向量并不是一个可扩展的解决方案。这些增加的测试向量必须移动的距离已经成为在线测试的主要关注点,因为它在能源消耗、网络负载和延迟方面对应用程序入侵有直接影响。在本文中,我们应用分布式存储技术来绑定和最小化这个距离,从而最小化整个网络的网络负载、能量消耗和测试交付延迟。我们的实验表明,对于中等大小的NoC,测试传递延迟和能耗降低了大约90%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-field NoC-based SoC testing with distributed test vector storage
The operational lifetimes of SoC and microprocessors face growing threats from technology scaling and increasing device temperature and power density. In-field (or on-line) testing of NoC-based SoC is an important technique in ensuring system integrity throughout this potentially shorter lifetime. Whether in-field testing is conducted concurrently with normal applications or executed in isolation, application intrusion must be minimized in order to maintain system availability. Specialized infrastructure IP have been proposed to manage on-line testing by scheduling tests and delivering test vectors to the various cores within the SoC from a centralized location. However, as the number of cores integrated into a single chip continues to increase, issuing test vectors from a centralized location is not a scalable solution. These increased distances that test vectors must travel have become a major concern for on-line testing because of its direct impact on application intrusion in terms of energy consumption, network load, and latency. In this paper, we apply a distributed storage technique to bound and minimize this distance, thereby minimizing network load, energy consumption, and test delivery latency across the entire network. Our experiments show that test delivery latency and energy consumption is reduced by approximately 90% for moderately sized NoC.
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