An effective model extraction method with state space compression for model checking SystemC TLM designs

Yanyan Gao, Xi Li
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Abstract

SystemC has become a de-facto standard language for SoC and ASIP designs. The verification of implementation with SystemC is the key to guarantee the correctness of designs and prevent the errors from propagating to the lower levels. The gap between SystemC TLM model and its corresponding formal model makes it hard to perform automated translation between them. SystemC describes process behavior in sequential statements and usually employs intermediate variables, while most model checking languages for hardware only describe parallel behaviors, in which the usage of intermediate variables not only increases state space and may prolong execution time, but also introduce potential errors. For a model checking language which supports parallel description, the elimination of redundant intermediate variables is requisite and also an efficient way to reduce the state space. This paper intends to solve these issues: (1) proposing an extraction method that can implement the translation from a description which supports sequential execution to a description supports parallel execution; (2) identifying and removing redundant intermediate variables. In this paper, a novel mechanism is presented to automatically extract behavior description from SystemC to a widespreadly used model checking language SMV. We have implemented a tool SC2SMV and performed actual extraction process on it to demonstrate the effectiveness of the method presented in this paper.
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一种有效的状态空间压缩模型提取方法,用于模型检测SystemC TLM设计
SystemC已经成为SoC和ASIP设计的事实上的标准语言。SystemC实现的验证是保证设计正确性和防止错误向低层传播的关键。SystemC TLM模型与其相应的形式化模型之间的差距使得在它们之间进行自动转换变得困难。SystemC用顺序语句描述进程行为,通常使用中间变量,而大多数硬件模型检查语言只描述并行行为,中间变量的使用不仅增加了状态空间,可能延长执行时间,而且还会引入潜在的错误。对于支持并行描述的模型检查语言来说,消除冗余的中间变量是必要的,也是减少状态空间的有效方法。本文旨在解决这些问题:(1)提出一种能够实现从支持顺序执行的描述到支持并行执行的描述的转换的提取方法;(2)识别并剔除冗余中间变量。本文提出了一种从SystemC自动提取行为描述到广泛使用的模型检查语言SMV的机制。我们已经实现了一个工具SC2SMV,并在其上进行了实际的提取过程,以证明本文提出的方法的有效性。
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