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Effective Hybrid Test Program Development for Software-Based Self-Testing of Pipeline Processor Cores

机译:有效的混合测试程序开发,用于基于软件的管道处理器核心自测试

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This paper presents an effective hybrid test program for the software-based self-testing (SBST) of pipeline processor cores. The test program combines a deterministically developed program which explores different levels of processor core information and a block-based random program which consists of a combination of in-order instructions, random-order instructions, return instructions, as well as instruction sequences used to trigger exception/interrupt requests. Due to the complementary nature of this hybrid test program, it can achieve processor fault coverage that is comparable to the performance of the conventional scan chain method. The test response observation methods and their impacts on fault coverage are also investigated. We present the concept of micro observation versus macro observation and show that the most effective method of using SBST is through a multiple input signature register connected to the processor local bus, while conventional methods that observe only the program results in the memory lead to significantly less processor fault coverage.
机译:本文提出了一种有效的混合测试程序,用于管道处理器内核的基于软件的自测(SBST)。该测试程序结合了确定性开发的程序,该程序探索了不同级别的处理器核心信息;以及基于块的随机程序,该程序由按顺序指令,随机顺序指令,返回指令以及用于触发的指令序列的组合组成异常/中断请求。由于这种混合测试程序的互补性,它可以实现与传统扫描链方法的性能相当的处理器故障覆盖率。还研究了测试响应观察方法及其对故障覆盖率的影响。我们介绍了微观观察与宏观观察的概念,并表明使用SBST的最有效方法是通过连接到处理器本地总线的多输入签名寄存器,而仅观察程序结果的常规方法在内存中的使用显着减少了处理器故障范围。

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