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首页> 外文期刊>IEEE transactions on very large scale integration (VLSI) systems >A Refinement-Based Compositional Reasoning Framework for Pipelined Machine Verification
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A Refinement-Based Compositional Reasoning Framework for Pipelined Machine Verification

机译:基于精炼的流水线机器验证组成推理框架

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摘要

We present a refinement-based compositional framework for showing that pipelined machines satisfy the same safety and liveness properties as their non-pipelined specifications. Our framework consists of a set of convenient, easily applicable, and complete compositional proof rules. We show how to apply our compositional framework in the context of microprocessor verification to verify both abstract, term-level models and executable, bit-level models. Our framework enables us to verify machine models that are significantly more complex than the kinds of models that can be verified using current state-of-the-art automated decision procedures. For example, using our framework, we can verify a 32-bit, 10-stage, executable pipelined machine model. In addition, our compositional framework offers drastic improvements in the context of design debugging over monolithic approaches, in part because bugs are isolated to particular steps in the compositional proof and because the counter examples generated are much smaller.
机译:我们提出了一个基于细化的组成框架,以显示流水线机器满足与非流水线规格相同的安全性和活动性。我们的框架由一组方便,易于应用且完整的成分证明规则组成。我们展示了如何在微处理器验证的上下文中应用我们的构成框架,以验证抽象的术语级模型和可执行的比特级模型。我们的框架使我们能够验证比使用当前最新的自动决策程序可以验证的模型复杂得多的机器模型。例如,使用我们的框架,我们可以验证32位10级可执行流水线机器模型。此外,我们的组成框架在整体调试方法的设计调试方面提供了极大的改进,部分原因是错误被隔离到组成证明中的特定步骤,并且生成的反例要小得多。

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