Self-Controlled PFCA Memory Based on Pre Calculation Mechanism
Janani M1, Kaviya A2
1Janani M, Assistant Professor, Department of ECE, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
2Kaviya A, Assistant Professor, Department of ECE, M. Kumarasamy College of Engineering, Thalavapalayam, Karur (Tamil Nadu), India.
Manuscript received on 27 April 2019 | Revised Manuscript received on 09 May 2019 | Manuscript Published on 17 May 2019 | PP: 555-557 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11170476S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Content-addressable memory (CAM) is every now and again utilized in applications, for example, query tables, databases, cooperative figuring, and systems administration, that require fast inquiries because of its capacity to improve application execution by utilizing parallel correlation with diminish seek time. Despite the fact that the utilization of parallel examination results in diminished pursuit time, it likewise altogether expands control utilization. In this concise, a Pre-calculation based proposed method useful for fast applications. The SCPF engineering is helpful in applications where look time is vital to plan bigger word lengths. The test results demonstrate that PB-SCPF approach can accomplish all things considered 80% in defer decrease and 32% in power decrease. In this proposed methodology able to achieve lower power consumption with the requirement of cell plan.
Keywords: Content-Addressable Memory (CAM), ML Delay, Self-Controlled Precharge-Free CAM.
Scope of the Article: Self-Organizing Networks and Networked Systems