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High Coverage Concolic Equivalence Checking

Authors: Pritam Roy; Sagar Chaki; Pankaj Chauhan;

High Coverage Concolic Equivalence Checking

Abstract

A concolic approach, called Slec-Cf, to check sequential equivalence between a high-level (e.g., C++/SystemC) hardware description and an RTL (e.g., Verilog) is presented. Slec-Cf searches for counterexamples over the possible values of a set of "control signals" in a depth-first lexicographic manner, avoiding values that are unrealizable by any concrete input. In addition, Slec-Cf respects user-specified design constraints during search, thus only producing stimuli that are of relevance to users. It is a superior alternative to random simulations, which produce an overwhelming number of irrelevant stimuli for user-constrained designs, and are therefore of limited effectiveness. To handle complex designs, we present an incremental version of Slec-Cf, which iteratively increases the search depth, and set of control signals, and uses a cache to reuse prior results. We implemented Slec-Cf on top an existing industrial tool for sequential equivalence checking. Experimental results indicate that Slec-Cf clearly outperforms random simulation in terms of coverage achieved. On complex designs, incremental Slec-Cf demonstrates superior ability to achieve good coverage in almost all cases, compared to non-incremental Slec-Cf.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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