DESIGN OF PARAMETER EXTRACTOR IN LOW POWER PRECOMPUTATION BASED CONTENT ADDRESSABLE MEMORY

Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 7

Abstract

Content-addressable memory (CAM) is frequently used in applications, such as lookup tables, databases, associative computing, and networking, that require high-speed searches due to its ability to improve application performance by using parallel comparison to reduce search time. Although the use of parallel comparison results in reduced search time, it also significantly increases power consumption. In this paper, we propose a Block-XOR approach to improve the efficiency of low power pre computation- based CAM (PBCAM). Through mathematical analysis, we found that our approach can effectively reduce the number of comparison operations by 50% on average as compared with the ones-count approach for 15-bit-long inputs. In our experiment, we used Synopsys Nanosim to estimate the power consumption in TSMC 0.35- m CMOS technology. Compared with the ones-count PB-CAM system, the experimental results show that our proposed approach can achieve on average 30% in power reduction and 32% in power performance reduction. The major contribution of this paper is that it presents theoretical and practical proofs to verify that our proposed Block- XOR PB-CAM system can achieve greater power reduction without the need for a special CAM cell design. This implies that our approach is more flexible and adaptive for general designs.

Authors and Affiliations

Saroja pasumarti, , Lakshmi Kadali, , Swathi. Bankapalli

Keywords

Related Articles

CHARACTER BASED WEIGHTED SUPPORT THRESHOLD LGORITHM USING MULTI CRITERIA DECISION MAKING TECHNIQUE

An association rule technique generally used to generate requent itemsets from databases and generates association rules by considering each item in the datasets. However, the values of items are different in many aspec...

AN APPLICATION OF HYBRID CLUSTERING AND NEURAL BASED PREDICTION MODELLING FOR DELINEATION OF MANAGEMENT ZONES

Starting from descriptive data on crop yield and various other properties, the aim of this study is to reveal the trends on soil behaviour, such as crop yield. This study has been carried out by developing web applicatio...

A Framework for Incremental Hidden Web Crawler

Hidden Web’s broad and relevant coverage of dynamic and igh quality contents coupled with the high change frequency f web pages poses a challenge for aintaining and fetching p-to-date information. For the purpose, it...

Implementation and Performance Evaluation of the Gateway Discovery Approaches in the Integrated MANETInternet Scenario

The mobile ad hoc networks have become a major component of the future network development due to their ease of deployment, self-configurability, flexibility and independence on any existing network infrastructure. But...

Neural Network Based Forecasting of Foreign Currency Exchange Rates

The foreign currency exchange market is the highest and most liquid of the financial markets, with an estimated $1 trillion traded every day. Foreign exchange rates are the most important economic indices in the internat...

Download PDF file
  • EP ID EP155451
  • DOI -
  • Views 121
  • Downloads 0

How To Cite

Saroja pasumarti, , Lakshmi Kadali, , Swathi. Bankapalli (2011). DESIGN OF PARAMETER EXTRACTOR IN LOW POWER PRECOMPUTATION BASED CONTENT ADDRESSABLE MEMORY. International Journal on Computer Science and Engineering, 3(7), 2886-2895. https://europub.co.uk/articles/-A-155451