Vlsi-Based Sram-Emulated Tcam Architecture With Integrated Error Detection And Recovery

Abstract

Static Random Access Memory (SRAM)-based Ternary Content Addressable Memories (TCAMs) are widely used in high-speed networking, packet routing, data searching, and pattern matching applications due to their fast parallel search capabilities. However, SRAMemulated TCAM architectures are highly vulnerable to soft errors, process variations, and data corruption caused by radiation effects, noise, and hardware failures in deep submicron VLSI technologies. These errors can significantly affect search accuracy, reliability, and overall system performance in modern high-speed digital systems. The proposed “Error Detection and Correction in SRAM Emulated TCAMs (VLSI)” aims to improve the reliability and fault tolerance of SRAM-based TCAM architectures by implementing efficient error detection and correction mechanisms within the memory structure. The proposed system integrates advanced error control coding techniques such as parity checking, Hamming codes, and fault detection algorithms into SRAM-emulated TCAM architecture to identify and correct memory bit errors during data storage and retrieval operations. The design focuses on reducing error rates while maintaining high-speed search performance and low hardware overhead in VLSI implementation. Efficient encoding and decoding circuits are incorporated to enhance memory reliability, minimize power consumption, and improve overall fault tolerance. Simulation and performance analysis demonstrate that the proposed architecture effectively detects and corrects memory errors with improved accuracy and reduced delay compared to conventional SRAM-based TCAM systems. Therefore, the proposed system provides a reliable, scalable, and energy-efficient solution for high-performance networking and data processing applications in modern VLSI systems.