Abstract:
One of the content addressable memories (CAM)
is ternary CAM (TCAM), used for searching in networking.
Demanding TCAM application is increasing day by day in
search spaces. Application specific FPGA platform needs to
execute TCAM. However, the existing design of TCAM
based on FPGA are not efficient regarding storage and
time. In this proposed strategy, hybrid design for a TCAM
that uses both Transistors and memristors to overcome all
issues. The proposed TCAM memory cell is investigated
concerning several features, for example, memristance
range and voltage threshold of the memristors to process
quickly and effectively ternary information. A far-reaching
simulation-based assessment of this TCAM is developed by
Xilinx programming language utilizing Robust Dynamic
Signal Search (RDSS) Method. Simulation work came out to
exhibit that the execution of the proposed algorithms is
better than past methods for improving the performance of
search applications. Comparison with other memristorbased
CAMs and also CMOS-based TCAMs demonstrates
that the proposed memory cell consumes low power,
reduced transistor count and increase search activity
execution.
