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Part of book or chapter of book . 2005 . Peer-reviewed
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A Parameterized Benchmark Suite of Hard Pipelined-Machine-Verification Problems

Authors: Panagiotis Manolios; Sudarshan K. Srinivasan;

A Parameterized Benchmark Suite of Hard Pipelined-Machine-Verification Problems

Abstract

We present a parameterized suite of benchmark problems arising from our work on pipelined machine verification, in the hopes that they can be used to speed up decision procedures. While the existence of a large number of CNF benchmarks has spurred the development of efficient SAT solvers, the benchmarks available for more expressive logics are quite limited. Our work on pipelined machine verification has yielded many problems that not only have complex models, but also have complex correctness statements, involving invariants and symbolic simulations of the models for dozens of steps. Many of these proofs take hundreds of thousands of seconds to check using the UCLID decision procedure and SAT solvers such as Zchaff and Siege. More complex problems can be generated by using PiMaG, a Web application that we developed. PiMaG generates problems in UCLID, SVC, and CNF formats based on user-provided parameters specifying features of the pipelined machines and their correctness statements.

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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!
7
Average
Top 10%
Top 10%
bronze