Saturday 28 January 2017

phd projects in vlsi design : Hardware implementation of Content address memory

VLSI Design and implementation of Content address Memory with Reconfigurable Memory banks

OBJECTIVE
To design a low power inputs configured Content address memory with reconfigurable Memory banks.

SCOPE OF THE STUDY
  • This study enables us to get in depth knowledge on how reconfigurable platforms are implemented in VLSI technology
  • This study help us to learn about low power techniques such as clock gating and power gating etc
ABSTRACT
Content addressable memories (CAMs) compare search data against a table of stored data and return the address of the matched data (if any). Traditional CAM design has always suffered from the high dynamic power consumption associated with its large and active parallel hardware. In the previous design, they explored the design space of FinFET CAMs using SG (fast, but leaky) and ASG FinFETs (slower, but much less leaky), and pro pose two new variants of CAM bitcells (All-ASG and Core-ASG). They evaluate several dc metrics(read stability, write-ability, and leakage current) of CAM bitcells. They demonstrate the importance of leakage in the total power of CAM array for different mismatch probabilities. They proposed two mutually orthogonal layout strategies from a CAM array design perspective. We demonstrate that one layout style proves to be superior to the other in transient metrics (search delay and dynamic power) because of the large difference between their parasitic capacitances.

EXISTING SYSTEM
In existing, they presented a layout-based parasitic-aware design space exploration of FinFET CAMs. The All-ASG bitcell was found to be superior to All-SG and and Core- ASG bitcells in terms of dc metrics. They observed that leakage power assumes slightly greater significance with a decreasing mismatch probability. ASG FinFETs play an important role in minimizing leakage in lower-mismatch cases. Finally, they observed noticeable differences in parasitic capacitances between two orthogonal layout styles (VSL and VML). VSL emerged as a better layout style in terms of dynamic energy and search delay because of its inherent parasitic capacitance advantage.

DISADVANTAGES      
1.         Dynamic power.
2.         Leakage power slightly greater

PROPOSED SYSTEM
In the proposed system, We are planning to design a high speed reconfigurable CAM. Content address memory is nothing but the normal memory architecture in which the logical modules enable the user to retrieve the information stored in the memory within few nano seconds (few clock cycles ) through a systematic search algorithm based on memory index data. The data stored in the memory under goes a process of encryption before storing takes place. The data is purely packed in the encryptor end where the data un-packed at the decryptor end as well. The encrypted information is stored in the CAM. The data can be accessed using the index bits for fast retrieval. The size of the memory banks can be varied with respect to the low power reconfiguration bits available through a Switch outside the FPGA. Hence some of low power techniques such as clock gating and power gating is being used to improve the architecture performance in terms of time.

ADVANTAGES
  1. Reconfigurable platform used for Multiple applications
  2. Single memory platform can be applied for multiple memory requirements
  3. Easily configured through I/O switches connected with  FPGA
APPLICATIONS
1.                  Local area networks
2.                  Database management
3.                  File-storage management
4.                  Pattern recognition
5.                  Artificial intelligence
6.                  Fully associative and processor-specific cache memories
7.                  Disk cache memories
8.                  Broadband ATM communication system
9.                  Image coding

DESIGN DIAGRAM

SOFTWARE REQUIREMENT
Design Environment: XILINX ISE
Language: VHDL
Simulation: MODELSIM / XILINX ISE Simulator


Learning Continues
DivyaRamkumar
Sr.VLSI Design Engineer & Consultant
qmostech.com@gmail.com

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