Complete Boolean Algebra for Memristive and Spintronic Asymmetric Basis Logic Functions
The increasing advancement of emerging device technologies that provide alternative basis logic sets necessitates the exploration of innovative logic design automation methodologies. Specifically, emerging computing architectures based on the memristor and the bilayer avalanche spin-diode offer non-commutative or “asymmetric” operations, namely the inverted-input AND (IAND) and implication as basis logic gates. Existing logic design techniques inadequately leverage the unique characteristics of asymmetric logic functions, resulting in insufficiently optimized logic circuits. This article presents a complete Boolean algebraic framework specifically tailored to asymmetric logic functions, introducing fundamental identities, theorems, and canonical normal forms that lay the groundwork for efficient synthesis and minimization of such logic circuits without relying on conventional Boolean algebra. Further, this article establishes a logical relationship between implication and IAND operations. A previously proposed modified Karnaugh map method based on a subset of the presented algebraic principles demonstrated a 28% reduction in computational steps for an algorithmically designed memristive full adder; the presently proposed algebraic framework lays the foundation for much greater future improvements.
Authors
- Joseph S. Friedman (ORCID: https://orcid.org/0000-0001-9847-4455)
- V. Vyas (ORCID: https://orcid.org/0000-0003-1683-8249)
Institutions
- The University of Texas at Dallas (US)
Publication Details
- Journal
- ACM Journal on Emerging Technologies in Computing Systems
- Published
- 2025-10-23
- DOI
- https://doi.org/10.1145/3773030
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00