可重构扫描网络:建模、验证和最优模式生成

R. Baranowski, M. Kochte, H. Wunderlich
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引用次数: 46

摘要

有效访问片上仪器是硅后验证、测试、调试、启动和诊断的关键要求。可重构扫描网络,如IEEE标准1687-2014和IEEE标准1149.1-2013所提出的,作为一种有效且经济的手段来应对芯片上基础设施日益复杂的问题。可重构扫描网络通常是分层的,可能具有复杂的结构和功能依赖关系。基于静态结构分析和功能仿真的常见扫描验证方法不足以确保这些类型的体系结构的正确运行。要访问可重构扫描网络中的仪器,必须根据网络的当前状态和结构生成扫描位序列。由于访问模式的顺序依赖性和组合依赖性,访问模式生成过程(模式重定向)提出了一个复杂的决策和优化问题。本文提出了第一个广义的形式化模型,该模型考虑了可重构扫描网络的结构和功能依赖关系,并直接适用于基于1687-2014和基于1149.1-2013的扫描架构。该模型能够对复杂的扫描网络进行有效的形式化验证,并自动生成访问模式。所提出的模式生成方法支持对多个目标扫描寄存器的并发访问(访问合并),并生成短扫描入序列。
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Reconfigurable Scan Networks: Modeling, Verification, and Optimal Pattern Generation
Efficient access to on-chip instrumentation is a key requirement for post-silicon validation, test, debug, bringup, and diagnosis. Reconfigurable scan networks, as proposed by, for example, IEEE Std 1687-2014 and IEEE Std 1149.1-2013, emerge as an effective and affordable means to cope with the increasing complexity of on-chip infrastructure. Reconfigurable scan networks are often hierarchical and may have complex structural and functional dependencies. Common approaches for scan verification based on static structural analysis and functional simulation are not sufficient to ensure correct operation of these types of architectures. To access an instrument in a reconfigurable scan network, a scan-in bit sequence must be generated according to the current state and structure of the network. Due to sequential and combinational dependencies, the access pattern generation process (pattern retargeting) poses a complex decision and optimization problem. This article presents the first generalized formal model that considers structural and functional dependencies of reconfigurable scan networks and is directly applicable to 1687-2014-based and 1149.1-2013-based scan architectures. This model enables efficient formal verification of complex scan networks, as well as automatic generation of access patterns. The proposed pattern generation method supports concurrent access to multiple target scan registers (access merging) and generates short scan-in sequences.
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