Publication

Abstract : Ternary Content Addressable Memory (TCAM) is widely used in networking for fast lookups. However, high-speed applications face critical challenges in terms of slow writes in TCAM, causing network configuration delays that hurt the overall performance. Fast rule updates in TCAM are critical for high-speed networks, thus making low-latency TCAM writes a key research focus. This paper presents a new approach for the efficient and dynamic updating of TCAM rules, specifically addressing the deficiencies of prevailing methodologies in high-speed networking devices. Conventional TCAM update protocols frequently experience considerable latency and notable performance degradation owing to the necessity for comprehensive or partial rule reordering and rewriting, particularly during instances of frequent insertions, deletions, or alterations. The design focuses on optimizing the critical path, which is achieved by incorporating techniques like pipelining, logic optimization, and modularization of components. Experimental simulations are carried out using the Verilog simulation tool, Xilinx Vivado. The design is synthesized in 45nm technology using Cadence Genus. The result from the experimental setup indicates that our HAPAG algorithm substantially diminishes the critical path delay by 33% and thereby improves average update latency, further enhancing the overall TCAM performance in comparison to leading-edge techniques, rendering it particularly advantageous for rigorous applications in NoC routers, software-defined networking (SDN), and high-speed packet processing.