A memristor-based in-memory computing accelerator natively embeds and solves hybrid XOR-CNF SAT problems, with simulations showing roughly 10x gains in speed, energy, and area over CNF translation methods and 1000x energy efficiency over CPU solvers.
Stern, A new identification scheme based on syndrome decoding , Springer Berlin Heidelberg, 1994, p
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Accelerating Hybrid XOR$-$CNF Boolean Satisfiability Problems Natively with In-Memory Computing
A memristor-based in-memory computing accelerator natively embeds and solves hybrid XOR-CNF SAT problems, with simulations showing roughly 10x gains in speed, energy, and area over CNF translation methods and 1000x energy efficiency over CPU solvers.