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Title: Propositional Proof Skeletons
Modern SAT solvers produce proofs of unsatisfiability to justify the correctness of their results. These proofs, which are usually represented in the well-known DRAT format, can often become huge, requiring multiple gigabytes of disk storage. We present a technique for semantic proof compression that selects a subset of important clauses from a proof and stores them as a so-called proof skeleton. This proof skeleton can later be used to efficiently reconstruct a full proof by exploiting parallelism. We implemented our approach on top of the award-winning SAT solver CaDiCaL and the proof checker DRAT-trim. In an experimental evaluation, we demonstrate that we can compress proofs into skeletons that are 100 to 5,000 times smaller than the original proofs. For almost all problems, proof reconstruction using a skeleton improves the solving time on a single core, and is around five times faster when using 24 cores.  more » « less
Award ID(s):
2229099
NSF-PAR ID:
10470830
Author(s) / Creator(s):
; ;
Editor(s):
Sankaranarayanan, S.; Sharygina, N.
Publisher / Repository:
Springer
Date Published:
Format(s):
Medium: X
Location:
Tools and Algorithms for the Construction and Analysis of Systems 2023
Sponsoring Org:
National Science Foundation
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