Constraint Solver Solution Space
ConceptA constraint solver solution space is the set of possible results considered for a randomize call. In the cited VCS BDD-solver context, the solver elaborates the entire solution space before selecting a solution, which can improve repeated randomization through caching but may require significant CPU time and memory.
First seen 5/26/2026
Last seen 5/26/2026
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Definition
In the provided constraint-random verification context, a constraint solver solution space is the complete set of candidate solutions associated with a randomize call. When the VCS BDD solver is used, it elaborates the entire solution space of the randomize call before choosing a solution.
Role in solver behavior
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1 connectionsThe BDD solver elaborates the entire solution space before selecting a solution.
CITATIONS
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[1] The BDD solver elaborates the entire solution space of a randomize call before selecting a solution. Generating AMD microcode stimuli using VCS constraint solver
[2] Elaborating the entire solution space can require large amounts of memory and solver time, and the solution space is cached to speed later randomization calls. Generating AMD microcode stimuli using VCS constraint solver
[3] The BDD solver works well for architectures where the randomize problem does not consume excessive memory and the same randomize call occurs many times, such as CPU opcode generation. Generating AMD microcode stimuli using VCS constraint solver
[4] In the cited comparison, the multiple-class architecture was faster with both solvers; the RACE solver showed a 4x speedup and the BDD solver showed a 2x speedup. Generating AMD microcode stimuli using VCS constraint solver
[5] BDD-solver memory requirements were significantly better with the multiple-class architecture. Generating AMD microcode stimuli using VCS constraint solver
[6] The performance improvement was attributed to fewer variables and constraints; the newer implementation had 7x fewer constraints than the original. Generating AMD microcode stimuli using VCS constraint solver
[7] Choosing an opcode category first simplified randomization by limiting the solver to constraints specific to that category, improving memory and speed without sacrificing distribution or test-level control. Generating AMD microcode stimuli using VCS constraint solver