流扫描网络(SSN):用于复杂soc测试的高效分组数据网络

J. Cote, M. Kassab, W. Janiszewski, Ricardo Rodrigues, Reinhard Meier, Bartosz Kaczmarek, P. Orlando, G. Eide, J. Rajski, G. Colón-Bonet, N. Mysore, Ya Yin, P. Pant
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引用次数: 11

摘要

片上系统(SoC)设计越来越难以使用传统的扫描访问方法进行测试,而不会产生低效率的测试时间、高规划工作量和物理设计/定时关闭挑战。内核的数量不断增长,而芯片引脚计数可用于扫描保持不变或下降,限制了同时驱动内核的能力。随着越来越普遍的平铺和基台,扫描分发硬件必须放置在核心内部,这使得广播到相同核心时的平衡管道变得困难。优化测试时间需要分析所有核心,并随后更改核心中的测试硬件。内部移位速度限制可能会限制以高速率将数据迁入和迁出芯片的能力。在并行测试的内核之间的模式计数或扫描链长度的差异可能导致填充和增加测试时间。SSN是一种基于总线的扫描数据分发体系结构,旨在解决所有这些挑战。它可以同时测试任何数量的内核,即使只有很少的芯片I/ o。它通过支持高速数据分发、有效地处理内核之间的不平衡以及支持以恒定成本测试任意数量的相同内核,从而缩短了测试时间。它在每个核心中提供了一个即插即用的接口,非常适合相邻的瓷砖,并简化了扫描时序关闭。本文还将SSN的测试成本和实现效率与Intel的结构测试Fabric进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Streaming Scan Network (SSN): An Efficient Packetized Data Network for Testing of Complex SoCs
System-on-Chip (SoC) designs are increasingly difficult to test using traditional scan access methods without incurring inefficient test time, high planning effort, and physical design/timing closure challenges. The number of cores keeps growing while chip pin counts available for scan remain constant or decline, limiting the ability to drive cores concurrently. With increasingly commonplace tiling and abutment, the scan distribution hardware must be placed inside the cores, making balanced pipelining when broadcasting to identical cores difficult. optimizing test time requires analyzing all the cores and subsequently changing the test hardware in the cores. Internal shift speed constraints may limit the ability to shift data in and out of the chip at high rates. Differences in pattern counts or scan chain lengths between cores tested in parallel can result in padding and increased test time. SSN is a bus-based scan data distribution architecture designed to address all these challenges. It enables simultaneous testing of any number of cores even with few chip I/Os. It facilitates short test time by enabling high-speed data distribution, by efficiently handling imbalances between cores, and by supporting testing of any number of identical cores with a constant cost. It provides a plug-and-play interface in each core that is well suited for abutted tiles, and simplifies scan timing closure. This paper also compares the test cost and implementation productivity of SSN with those of Intel’s Structural Test Fabric.
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