A Low-Complexity Sensing Scheme for Approximate Matching Content-Addressable Memory
Objective
This brief presents a novel sensing approach for approximate matching content-addressable memory (CAM) designed to handle large Hamming distances (HDs) between the query pattern and stored data.
Abstract
This paper introduces a low-complexity sensing scheme tailored for approximate matching Content-Addressable Memory (CAM) systems. The proposed scheme aims to optimize resource utilization and enhance operational efficiency in CAM-based applications. By employing innovative sensing techniques, it offers a balance between accuracy and computational complexity, making it suitable for high-performance computing environments. Through comprehensive simulations and analyses, the effectiveness of the proposed scheme is demonstrated, showcasing its potential for improving the efficiency of CAM-based systems. This entire structure will be designed in Cadence Virtuoso employing GPDK 45nm library files and also results by performing transient analysis.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software Requirements:
· Tool: Cadence Virtuoso
· Technology: GPDK 45nm
Hardware Requirements:
· Microsoft® Windows XP
· Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support
· 512 MB RAM
· 100 MB of available disk space
Learning Outcomes
· Introduction of Amplifiers
· Different types & Applications of Amplifier
· Basics of sense Amplifier
· Learning of Cadence tool.
· Knowledge on CAM cell and its functionality
· Scope and Real time applications of Sensing CAM
Related Projects
Paper Publishing
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
