Simulation and Analysis of PB-Content Addressable Memory - Katta, Miranji;Yamini, Komati
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Precomputation-based CAM is designed to enhance the performance of content-addressable memory systems. Unlike traditional CAM, which searches data by comparing the input to stored entries, precomputation-based CAM involves preprocessing to optimize search operations. This approach reduces search time and power consumption by minimizing the number of comparisons needed. Simulations of precomputation-based CAM involve modeling its architecture and testing various search scenarios to evaluate improvements in speed and efficiency. Analysis usually shows that precomputation-based CAM systems are…mehr

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Produktbeschreibung
Precomputation-based CAM is designed to enhance the performance of content-addressable memory systems. Unlike traditional CAM, which searches data by comparing the input to stored entries, precomputation-based CAM involves preprocessing to optimize search operations. This approach reduces search time and power consumption by minimizing the number of comparisons needed. Simulations of precomputation-based CAM involve modeling its architecture and testing various search scenarios to evaluate improvements in speed and efficiency. Analysis usually shows that precomputation-based CAM systems are much faster and use less energy than traditional CAM systems. This makes them good for high-speed, large-scale applications where getting data quickly is important.
Autorenporträt
Dr. Miranji Katta is an Associate Professor in the Department of ECE at Sir C. R. R. College of Engineering. He received his B.Tech. from JNTUH and M.Tech. from JNTUK in ECE, and his Ph.D. in biomedical engineering. Dr. Katta has published 37 articles in international journals, 10 patents, and 4 copyrights.