Energy-Efficient, Nonvolatile 8T-2MTJ Ternary CAM Cell for Low Search Delay

With the increasing demands of AI applications, especially in large-scale data processing and real-time decision-making, TCAM plays a crucial role in accelerating AI computations by enabling fast, parallel search operations. Our novel nonvolatile ternary content-addressable memory Nonvolatile-TCAM cell is well-suited to support the growing need for efficient, high-speed memory solutions in AI-driven systems, where both low power and rapid access times are critical. Recent developments in magnetic tunnel junctions (MTJs) based Nonvolatile-TCAMcells have aimed to achieve zero standby power. However, high search energy and reliability issues remain significant obstacles. To tackle these issues, we propose an 8T-2MTJ Nonvolatile-TCAM cell. This design leverages MTJs with complementary states and incorporates positive feedback from cross-coupled inverters, significantly improving search reliability. In the crucial path between matchline (ML) and ground, the suggested design only makes use of one transistor, thereby minimizing switching delay and enabling faster search operations. Our design outperforms existing Nonvolatile-TCAM cells, achieving a search delay of 0.0744 ns and reducing search energy consumption to 0.302 fJ/bit/search, prioritizing low energy usage and minimal search delay.