高级ATPG的搜索空间优化

J. Campos, H. Al-Asaad
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引用次数: 4

摘要

基于突变的验证范式(MVP)是一种用于高级微处理器实现的验证环境。为了能够有效地识别和分析在MVP的测试生成过程中可能满足一组约束的架构状态(前景状态),作者需要尽早减少分析过程中的搜索空间。在本文中,作者提出了一些搜索空间的优化,以加快整个测试生成过程
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Search-Space Optimizations for High-Level ATPG
The mutation based validation paradigm (MVP) is a validation environment for high-level microprocessor implementations. To be able to efficiently identify and analyze the architectural states (prospect states) that can possibly satisfy a set of constraints during MVP's test generation, the authors need to reduce the search space in the analysis process as early as possible. In this paper, the authors present some optimizations in the search space that speed up the overall test generation process
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