A Fast Test Compaction Method for Commercial DFT Flow Using Dedicated Pure-MaxSAT Solver

Zhiteng Chao, Xindi Zhang, Junying Huang, Jing Ye, Shaowei Cai, Huawei Li, Xiaowei Li
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Abstract

Minimizing the testing cost is crucial in the context of the design for test (DFT) flow. In our observation, the test patterns generated by commercial ATPG tools in test compression mode still contain redundancy. To tackle this obstacle, we propose a post-flow static test compaction method that utilizes a partial fault dictionary instead of a full fault dictionary, and leverages a dedicated Pure-MaxSAT solver to re-compact the test patterns generated by commercial ATPG tools. We also observe that commercial ATPG tools offer a more comprehensive selection of candidate patterns for compaction in the “n-detect” mode, leading to superior compaction efficacy. In experiments on ISCAS89, ITC99, and open-source RISC-V CPU benchmarks, our method achieves an average reduction of 21.58% and a maximum of 29.93% in test cycles evaluated by commercial tools while maintaining fault coverage. Furthermore, our approach demonstrates improved performance compared with existing methods.
使用专用 Pure-MaxSAT 求解器的商用 DFT 流量快速测试压实方法
在测试设计(DFT)流程中,测试成本最小化至关重要。根据我们的观察,商业 ATPG 工具在测试压缩模式下生成的测试模式仍然包含冗余。为了解决这一障碍,我们提出了一种流程后静态测试压缩方法,该方法利用部分故障字典而非完整故障字典,并利用专用的 Pure-MaxSAT 求解器来重新压缩商业 ATPG 工具生成的测试模式。我们还观察到,在 "n-检测 "模式下,商业 ATPG 工具能为压缩提供更全面的候选模式选择,从而实现更优越的压缩效果。在 ISCAS89、ITC99 和开源 RISC-V CPU 基准的实验中,我们的方法在保持故障覆盖率的同时,将商业工具评估的测试周期平均减少了 21.58%,最大减少了 29.93%。此外,与现有方法相比,我们的方法还提高了性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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