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Software-based online self-testing of network-on-chip using bounded model checking

机译:使用有界模型检查的基于软件的片上网络在线自测试

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Online testing is critical to ensure reliable operation of manycore systems based on a network-on-chip (NoC) interconnection fabric. We present a software-based online NoC self-testing solution based on bounded model checking (BMC). The proposed method first implements BMC on a sliced extended finite-state machine, and extracts the leading sequences necessary to excite NoC functions. Next, it targets the structural faults within every function excited by the leading sequence through constrained ATPG. Finally, a test protocol is developed to make the test responses observable. Experimental results show that the proposed method achieves high fault coverage in functional mode and outperforms previously proposed solutions. In addition, the fault coverage is very close to that of full-scan testing, but without any area overhead.
机译:在线测试对于确保基于片上网络(NoC)互连结构的许多核心系统的可靠运行至关重要。我们提出了基于有界模型检查(BMC)的基于软件的在线NoC自检解决方案。所提出的方法首先在切片扩展有限状态机上实现BMC,并提取激发NoC函数所需的前导序列。接下来,它通过约束ATPG来针对由前导序列激发的每个功能中的结构性缺陷。最后,开发了一个测试协议以使测试响应可观察到。实验结果表明,该方法在功能模式下具有较高的故障覆盖率,并且性能优于先前提出的解决方案。此外,故障覆盖率与全扫描测试非常接近,但是没有任何区域开销。

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