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parallel helper

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Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
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Nikolaj Bjorner 2025-10-28 13:51:20 -07:00
parent 8ba9d8c16a
commit 85c9d9ed27
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src/params/smt_parallel.pyg Normal file
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def_module_params('smt_parallel',
export=True,
description='Experimental parameters for parallel solving',
params=(
('share_units', BOOL, True, 'share units'),
('share_conflicts', BOOL, True, 'share conflicts'),
('never_cube', BOOL, False, 'never cube'),
('frugal_cube_only', BOOL, False, 'only apply frugal cube strategy'),
('relevant_units_only', BOOL, True, 'only share relvant units'),
('max_conflict_mul', DOUBLE, 1.5, 'increment multiplier for max-conflicts'),
('share_units_initial_only', BOOL, True, 'share only initial Boolean atoms as units'),
('cube_initial_only', BOOL, False, 'cube only on initial Boolean atoms'),
('max_cube_depth', UINT, 20, 'maximum depth (size) of a cube to share'),
('max_greedy_cubes', UINT, 1000, 'maximum number of cube to greedily share before switching to frugal'),
('num_split_lits', UINT, 2, 'how many literals, k, we split on to create 2^k cubes'),
('depth_splitting_only', BOOL, False, 'only apply frugal cube strategy, and only on deepest (biggest) cubes from the batch manager'),
('backbone_detection', BOOL, False, 'apply backbone literal heuristic'),
('iterative_deepening', BOOL, False, 'deepen cubes based on iterative hardness cutoff heuristic'),
('beam_search', BOOL, False, 'use beam search with PQ to rank cubes given to threads'),
('explicit_hardness', BOOL, False, 'use explicit hardness metric for cube'),
('cubetree', BOOL, False, 'use cube tree data structure for storing cubes'),
('searchtree', BOOL, False, 'use search tree implementation (parallel2)'),
('inprocessing', BOOL, False, 'integrate in-processing as a heuristic simplification'),
('inprocessing_delay', UINT, 0, 'number of undef before invoking simplification')
))