Pruning-Based Trace Signal Selection Algorithm for Data Acquisition in Post-Silicon Validation

• DOI: 10.1587/transfun.e95.a.1030
• Publication Date: 2012-05-31T22:54:24Z
• Authors: Kang ZHAO; Jinian BIAN
• Keywords: Pruning; Observability; TRACE (psycholinguistics); SIGNAL (programming language); Enumeration

To improve the observability during post-silicon validation, it is key to select limited trace signals effectively for data acquisition. This paper proposes an automated signal selection algorithm, which uses pruning-based strategy reduce exploration space. First, restoration range covered each candidate signals. Second, constraints are generated based on conjunctive normal form (CNF) avoid conflict. Finally candidates selected through enumeration. The experimental results indicate that proposed algorithm can bring higher ratios and more effective compared existing methods.