Content addressable memory for energy efficient computing applications

Published

06-06-2023

DOI:

https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.30

Keywords:

CAM, Associative Memory, Computing, TCAM, Bi-CAM, Low power Memory, CAM Design, Parallel search, RAM.

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Issue

Section

Research article

Authors

  • S. Kumar PG Student, M.E. VLSI Design
  • M. Santhanalakshmi Associate Professor, Department of ECE, PSG College of Technology, Coimbatore, India
  • R. Navaneethakrishnan Assistant Professor, Department of ECE, PSG College of Technology, Coimbatore, India

Abstract

Content Addressable Memory (CAM) also known as associate memory isa special kind of semiconductor memory device that works differently from conventional Random Access Memory (RAM). A Content Addressable Memory is a memory unit that matches content over a single clock rather than using addresses. Its inherent parallel search mechanism makes it more advantageous than RAM in terms of speed of search operation. Designers aim to reduce two design characteristics: increasing silicon size and power consumption. As the need for CAM increases, the problem of power consumption also increases. Recent research on CAM is concentrated around diminishing power utilization without forfeiting speed or area. The main reason for the high-power consumption in conventional CAM architecture is devoid of control over the voltage on the Match Line recharge and Search Line precharge. A novel CAM architecture is proposed by removing the necessity of the search line recharge and also by introducing a transistor with gate connected to ML_Eval input that act as a control over the search operation. An Extra transistor with gate connected to Mask_Bar decides whether the circuit can be operated as Ternary Content Addressable Memory (TCAM) or Binary Content Addressable Memory (Bi-CAM). This CAM Architecture is found to be power efficient up to 50% due to the control over recharged voltage on ML. It is also inferred that the delay associated with the search operation can be reduced to a certain extent. The proposed CAM architecture is simulated using Cadence Virtuoso IC 6.1.6 in General Process Design Kit (GPDK) with90nm technology.

How to Cite

Kumar, S., Santhanalakshmi , M., & Navaneethakrishnan, R. (2023). Content addressable memory for energy efficient computing applications. The Scientific Temper, 14(02), 430–436. https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.30

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