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.

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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
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article

Complete Boolean Algebra for Memristive and Spintronic Asymmetric Basis Logic Functions

Joseph S. Friedman, V. Vyas
ACM Journal on Emerging Technologies in Computing Systems
Advanced Memory and Neural Computing
article

Complete Boolean Algebra for Memristive and Spintronic Asymmetric Basis Logic Functions

Joseph S. Friedman, V. Vyas
article en

Abstract

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.

ACM Journal on Emerging Technologies in Computing SystemsVol. 22(2)
The University of Texas at Dallas (US)
Openalex Percentile: Top 70%
Advanced Memory and Neural Computing
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