Cross‐Wired Memristive Crossbar Array for Effective Graph Data Analysis

Abstract

Graphs adequately represent the enormous interconnections among numerous entities in big data, incurring high computational costs in analyzing them with conventional hardware. Physical graph representation (PGR) is an approach that replicates the graph within a physical system, allowing for efficient analysis. This study introduces a cross‐wired crossbar array (cwCBA), uniquely connecting diagonal and non‐diagonal components in a CBA by a cross‐wiring process. The cross‐wired diagonal cells enable cwCBA to achieve precise PGR and dynamic node state control. For this purpose, a cwCBA is fabricated using Pt/Ta2O5/HfO2/TiN (PTHT) memristor with high on/off and self‐rectifying characteristics. The structural and device benefits of PTHT cwCBA for enhanced PGR precision are highlighted, and the practical efficacy is demonstrated for two applications. First, it executes a dynamic path‐finding algorithm, identifying the shortest paths in a dynamic graph. PTHT cwCBA shows a more accurate inferred distance and ≈1/3800 lower processing complexity than the conventional method. Second, it analyzes the protein–protein interaction (PPI) networks containing self‐interacting proteins, which possess intricate characteristics compared to typical graphs. The PPI prediction results exhibit an average of 30.5% and 21.3% improvement in area under the curve and F1‐score, respectively, compared to existing algorithms.

Memristors with Tunable Volatility for Reconfigurable Neuromorphic Computing

“…The CH re OP node devices are switchable, enabling the construction of a dynamic graph. 40 In fact, they can be reconfigured in any position, enabling high flexibility in the reconfiguration. Moreover, a nondiagonal node configuration allows for directed graphs, which may expand the potential of memristor-based graph analysis.…”

“…Table shows the comparison with other memristive graph solvers, providing the advancement of this work. The CH re OP node devices are switchable, enabling the construction of a dynamic graph . In fact, they can be reconfigured in any position, enabling high flexibility in the reconfiguration.…”