2013 Formal Methods in Computer-Aided Design 2013
DOI: 10.1109/fmcad.2013.6679397
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Relational STE and theorem proving for formal verification of industrial circuit designs

Abstract: Model checking by symbolic trajectory evaluation, orchestrated in a flexible functional-programming framework, is a well-established technology for correctness verification of industrial-scale circuit designs. Most verifications in this domain require decomposition into subproblems that symbolic trajectory evaluation can handle, and deductive theorem proving has long been proposed as a complement to symbolic trajectory evaluation to enable such compositional reasoning. This paper describes an approach to verif… Show more

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Cited by 5 publications
(7 citation statements)
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References 36 publications
(50 reference statements)
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“…Nevertheless, the data structure is still widely used in industry to solve real-world hardware verification problems, for example at companies such as Intel [23], IBM [24], [29], and Centaur [28]. Furthermore, contemporary commercial FV tools also include BDDs in their spectrum of technologies.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the data structure is still widely used in industry to solve real-world hardware verification problems, for example at companies such as Intel [23], IBM [24], [29], and Centaur [28]. Furthermore, contemporary commercial FV tools also include BDDs in their spectrum of technologies.…”
Section: Introductionmentioning
confidence: 99%
“…The advantage of this approach is that it mechanizes the high level reasoning needed to reduce the relative error specification to a form suitable for automatic analysis. Our approach currently relies on pen-and-paper meta-theorems to support this reduction, although we are confident they could be mechanized using the Goaled theorem prover integrated with Forte [10]. However, the advantage of our approach is that it works directly on the register transfer level (RTL)-there is no need to construct a high level model of its behaviour-and it can also be applied to verify the relative error bounds of EXP2.…”
Section: Related Workmentioning
confidence: 99%
“…We were able to verify that the relative error bound was 2 −22 and 2 −23 , respectively, for these instructions. 10 The time accounted to symbolic simulation also involves a non-negligible component for a cone-of-influence reduction.…”
Section: Case Studiesmentioning
confidence: 99%
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