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z3/PARALLEL_PROJECT_NOTES.md
Nikolaj Bjorner 138ac63dd0 added notes
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
2025-07-25 11:23:05 -07:00

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# Parallel project notes

We track notes for updates to smt_parallel.cpp and possibly solver/parallel_tactic.cpp

## Variable selection heuristics

  • Lookahead solvers: * lookahead in the smt directory performs a simplistic lookahead search using unit propagation. * lookahead in the sat directory uses custom lookahead solver. They both proxy on a cost model where the most useful variable to branch on is the one that _minimizes_ the set of new clauses maximally through unit propagation. In other words, if a literal _p_ is set to true, and _p_ occurs in clause \\neg p \\vee q \\vee r, then it results in reducing the clause from size 3 to 2 (because \\neg p will be false after propagating _p_).
  • VSIDS:

  * As referenced in Matteo and Antti's solvers. * Variable activity is a proxy for how useful it is to case split on a variable during search. Variables with a higher VSIDS are split first. * VSIDS is updated dynamically during search. It was introduced in the paper with Moscovitz, Malik, et al in early 2000s. A good overview is in Armin's tutorial slides (also in my overview of SMT). * VSIDS does not keep track of variable phases (if the variable was set to true or false).

  • Proof prefix: * Collect the literals that occur in learned clauses. Count their occurrences based on polarity. This gets tracked in a weighted score. * The weight function can be formulated to take into account clause sizes. * The score assignment may also decay similar to VSIDS. * We could also use a doubly linked list for literals used in conflicts and keep reinsert literals into the list when they are used. This would be a "Variable move to front" (VMTF) variant.
  • From local search: * Note also that local search solvers can be used to assign variable branch priorities. * We are not going to directly run a local search solver in the mix up front, but let us consider this heuristic for completeness. * The heuristic is documented in Biere and Cai's journal paper on integrating local search for CDCL. * Roughly, it considers clauses that move from the UNSAT set to the SAT set of clauses. It then keeps track of the literals involved.
  • Assignment trails: * We could also consider the assignments to variables during search. * Variables that are always assigned to the same truth value could be considered to be safe to assign that truth value. * The cubes resulting from such variables might be a direction towards finding satisfying solutions.

## Algorithms

This section considers various possible algorithms.