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Gimsatul SAT Solver

This is a portfolio style parallel SAT-solver which physically shares clauses between different solving threads. This is made possible by using separate watcher data structures for each solver thread and keeping the actual clause data immutable. This allows to share large clauses between threads through atomic reference counting, which in turn allows not only sharing the original large (and binary) clauses but also much more aggressive sharing of learned clauses during the search while keeping the overall memory foot-print small.

References

More details can be found in the first report on Gimsatul submitted and presented at (POS'22):

Mathias Fleury and Armin Biere.
Scalable Proof Producing Multi-Threaded SAT Solving with Gimsatul through Sharing instead of Copying Clauses. CoRR abs/2207.13577 (2022), presented at 12th Workshop on Pragmatics of SAT (POS'22).
[ paper | arxiv | bibtex | gimsatul | slides ]

You might also want to check out our SAT competition proceedings entries for Gimsatul which can be found at our publication page.

Sharing

Interesting learned clauses are exported (shared) rather aggressively and imported eagerly before making a decision. Beside exchanging all learned units between threads, there is a preference given to import low-glue learned clauses (glue = LBD = glucose level), with binary clauses having highest priority, followed by glucose level one clauses, then tier 1 clauses (glue of two) and finally tier 2 clauses (glue at most 6). Tier 3 clauses (with glue larger than 6) are not shared.

Binary original clauses (after preprocessing) are not allocated but kept virtual in separate watcher stacks, which then are shared among all threads (as they are not changed). Learned binary clauses are virtual too but kept in thread local watcher lists, and thus are the only part really physically copied.

Proofs

From a memory as well as proof perspective these shared large clauses occur only once and are only deleted when their atomic reference count reaches zero. Without physically sharing learned clauses, as in most other parallel solvers, the copied clauses also have to be duplicated in the proof trace (using multi-set semantics). Thus physically sharing clauses allows to produce more compact global DRAT proofs. Checking those proofs is still not trivial trough, at least with a sequential proof checker, as proof lines are produced at a much higher rate than in a sequential solver.

Preprocessing

As far preprocessing and inprocessing is concerned equivalent literal substitution, subsumption including strengthening and of course bounded variable elimination are first run before solvers are cloned to share original irredundant clauses. The same code is used to simplify the formula in regular intervals. This requires all solvers to synchronize. Then one thread runs the global single-threaded simplification code. Further inprocessing is scheduled in form of failed literal probing and vivification locally within each solver thread. It would also be useful to parallelize preprocessing, which currently is only run in a single thread initially before cloning and starting the solver threads.

Naming

The name of the solver comes from gimbatul which is in the "Black Speech" language invented by Tolkien and occurs in the inscription of the "One Ring" in "Lord of the Rings" and literally translates to "find them" (all).

We follow that terminology in the source code and the main thread which performs preprocessing and organizes everything is called the "ruler" and an actual solver thread is called "ring".

Build

Use the following to configure, compile and test the solver:

./configure && make test

For more information on build options try:

./configure -h

Usage

The resulting solver gimsatul is multi-threaded but you currently need to specify the number of threads explicitly to make use of that feature:

./gimsatul cnf/prime4294967297.cnf --threads=16

Otherwise the number of threads defaults to one thread. Information about other command line options can be obtained with

./gimsatul -h

and is also available in usage.h.

The solver reads (optionally compressed) files in DIMACS format and if requested is able to produce DRUP/DRAT proofs. To generate a proof trace just specify the path to the output proof file as an additional argument on the command line

./gimsatul cnf/prime4294967297.cnf --threads=16 /tmp/proof

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