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sale OFFER 38%
Montgomery Modular Multiplication
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2016, High speed VLSI Design

Low-Cost High-Performance VLSI Architecture for Montgomery Modular Multiplication

₹16,000.00 Original price was: ₹16,000.00.₹10,000.00Current price is: ₹10,000.00.

Source Code : VHDL & VERILOG HDL

Abstract: This paper proposes a simple and efficient Montgomery multiplication algorithm such that the low-costand high-performance Montgomery modular multiplier can be implemented accordingly. The proposed multiplier output data with representation and uses only one parallel prefix adder to avoid a carry propagation and reduce the area, power and delay, and also increasing the speed. Mainly the usage of parallel prefix adder is to reduce the significant delay reduction and area × time2 improvements, all this at the cost of higher power consumption, which is the main reason preventing the use of parallel-prefix adders to achieve high-speed reverse converters in nowadays systems. Hence, to solve the high power consumption problem, novel specific hybrid parallel-prefix-based adder components those provide better trade-off between delay and power consumption. As a result, the extra clock cycles for operand pre-computation and format conversion can be hidden and high throughput can be obtained. Experimental results show that the proposed Montgomery modular multiplier can achieve higher performance and significant area–time product improvement when compared with previous designs. Using VHDL to design the RTL, and the result to be shown in Xilinx 14.2 with Power consumption and area reduction.

List of the following  materials will be included with the Downloaded Backup:

1. Source code ( Modelsim/ Xilinx/ Quartus/ DSCH3/ Microwind)
2. Existing and Proposed Project Comparison
3. Architecture Diagram
4. Algorithm with Flow chart
5. Report for Phase1 and Phase2
6. Proposed abstract document
7. Reference materials
8. Literature survey with Reference Document
9. Online Support ( Team viewer/ Ammy Admin)
sale OFFER 50%
LDPC_Decoder
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2015, Area Efficient

Byte-Reconfigurable LDPC Codec Design With Application to High-Performance ECC of NAND Flash Memory Systems

₹20,000.00 Original price was: ₹20,000.00.₹10,000.00Current price is: ₹10,000.00.
Source Code : VHDL

Abstract: In information theory, a low-density parity-check (LDPC) code is a linear error correcting code, a method of transmitting a message over a noisy transmission channel. An LDPC is constructed using a sparse bipartite graph. LDPC codes are capacity-approaching codes, which means that practical constructions exist that allow the noise threshold to be set very close (or even arbitrarily close on the BEC) to the theoretical maximum (the Shannon limit) for a symmetric memory-less channel. The noise threshold defines an upper bound for the channel noise, up to which the probability of lost information can be made as small as desired. Using iterative belief propagation techniques, LDPC codes can be decoded in time linear to their block length.

List of the following  materials will be included with the Downloaded Backup:
1. Source code ( Modelsim/ Xilinx/ Quartus/ DSCH3/ Microwind)
2. Existing and Proposed Project Comparison
3. Architecture Diagram
4. Algorithm with Flow chart
5. Report for Phase1 and Phase2
6. Proposed abstract document
7. Reference materials
8. Literature survey with Reference Document
9. Online Support ( Team viewer/ Ammy Admin)
sale OFFER 44%
Constant Multiplier
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2015, Area Efficient

An Efficient Constant Multiplier Architecture Based on Vertical-Horizontal Binary Common Sub-expression Elimination Algorithm for Reconfigurable FIR Filter Synthesis.

₹18,000.00 Original price was: ₹18,000.00.₹10,000.00Current price is: ₹10,000.00.
Source Code : VHDL & VERILOG HDL

Abstract: This paper proposes efficient constant multiplier architecture based on vertical-horizontal binary common sub-expression elimination (VHBCSE) algorithm for designing a reconfigurable finite impulse response (FIR) filter whose coefficients can dynamically change in real time. To design an efficient reconfigurable FIR filter, according to the proposed VHBCSE algorithm, 2-bit binary common sub-expression elimination (BCSE) algorithm has been applied vertically across adjacent coefficients on the 2-D space of the coefficient matrix initially, followed by applying variable-bit BCSE algorithm horizontally within each coefficient. Faithfully rounded truncated multiple constant multiplication/accumulation (MCMAT) and multi-root binary partition graph (MBPG) respectively. Efficiency shown by the results of comparing the FPGA and ASIC implementations of the reconfigurable FIR filter designed using VHBCSE algorithm based constant multiplier establishes the suitability of the proposed algorithm for efficient fixed point reconfigurable FIR filter synthesis.

List of the following  materials will be included with the Downloaded Backup:
1. Source code ( Modelsim/ Xilinx/ Quartus/ DSCH3/ Microwind)
2. Existing and Proposed Project Comparison
3. Architecture Diagram
4. Algorithm with Flow chart
5. Report for Phase1 and Phase2
6. Proposed abstract document
7. Reference materials
8. Literature survey with Reference Document
9. Online Support ( Team viewer/ Ammy Admin)
 
sale OFFER 50%
Content Addressable Memory
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2015, Low power VLSI Design

Algorithm and Architecture for a Low Power Content Addressable Memory Based on Sparse Clustered Networks

₹20,000.00 Original price was: ₹20,000.00.₹10,000.00Current price is: ₹10,000.00.
Source Code : VHDL

Abstract: We propose a low-power content-addressable memory (CAM) employing a new algorithm for associativity between the input tag and the corresponding address of the output data of 128bit. The proposed architecture is based on a recently developed sparse clustered network using binary connections that on-average eliminates most of the parallel comparisons performed during a search. Therefore, the dynamic energy consumption of the proposed design is significantly lower compared with that of a conventional low-power CAM design. Given an input tag, the proposed architecture computes a few possibilities for the location of the matched tag and performs the comparisons on them to locate a single valid match. A design methodology based on the silicon area and power budgets, and performance requirements is discussed. The proposed architecture of this paper will be analysis the logic size, area and power consumption using Xilinx 14.2.

List of the following  materials will be included with the Downloaded Backup:

1. Source code ( Modelsim/ Xilinx/ Quartus/ DSCH3/ Microwind)
2. Existing and Proposed Project Comparison
3. Architecture Diagram
4. Algorithm with Flow chart
5. Report for Phase1 and Phase2
6. Proposed abstract document
7. Reference materials
8. Literature survey with Reference Document
9. Online Support ( Team viewer/ Ammy Admin)
sale OFFER 38%
Multiple Error Correcting Architecture
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2015, Area Efficient

A Low-Complexity Multiple Error Correcting Architecture Using Novel Cross Parity Codes Over GF(2 m)

₹16,000.00 Original price was: ₹16,000.00.₹10,000.00Current price is: ₹10,000.00.
Source Code : VHDL

Abstract: This paper presents a modern low- complexity cross parity code, with a wide range of multiple bit error correction capability at a lower overhead, for improving the reliability. We have to use the two type of error correction technique for 128bit; first one is single bit error correction by using the hamming code. This hamming code is detects and then correct the single bit error correction. Another one is multiple bits error correction by using BCH (Bose–Choudhury– Hocquenghem). This one corrects the multiple bits error. Finally these are implemented and get the simulated result is compared to the previous architecture. The code are simulated and power, area, cost are taken using Xilinx 14.2 software.

List of the following  materials will be included with the Downloaded Backup:

1. Source code ( Modelsim/ Xilinx/ Quartus/ DSCH3/ Microwind)
2. Existing and Proposed Project Comparison
3. Architecture Diagram
4. Algorithm with Flow chart
5. Report for Phase1 and Phase2
6. Proposed abstract document
7. Reference materials
8. Literature survey with Reference Document
9. Online Support ( Team viewer/ Ammy Admin)
sale OFFER 33%
Wallace Tree Multiplier
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2014, Area Efficient

Modified Wallace Tree Multiplier using Efficient Square Root Carry Select Adder

₹12,000.00 Original price was: ₹12,000.00.₹8,000.00Current price is: ₹8,000.00.
Source Code : VHDL  Abstract:

A multiplier is one of the key hardware blocks in most digital and high performance systems such as FIR filters,  micro processors and digital signal processors etc. A system’s  performance is generally determined by the performance of the multiplier because the multiplier is generally the slowest  element in the whole system and also it is occupying more area consuming. The Carry Select Adder (CSLA) provides a good compromise between cost and performance in carry propagation adder design. A Square Root Carry Select Adder using RCA is introduced but it offers some speed penalty. However, conventional CSLA is still area-consuming due to the dual ripple carry adder structure. In the proposed work, generally in Wallace multiplier the partial products are reduced as soon as possible and the final carry propagation path carry select adder is used. In this paper, modification is done at gate level to reduce area and power consumption. The Modified Square Root Carry Select-Adder (MCSLA) is designed using Common Boolean Logic and then compared with regular CSLA respective architectures, and this MCSLA is implemented in Wallace Tree Multiplier. This work gives the reduced area compared to normal Wallace tree multiplier. Finally an area efficient Wallace tree multiplier is designed using common Boolean logic based square root carry select adder.

List of the following  materials will be included with the Downloaded Backup:

1. Source code ( Modelsim/ Xilinx/ Quartus/ DSCH3/ Microwind)
2. Existing and Proposed Project Comparison
3. Architecture Diagram
4. Algorithm with Flow chart
5. Report for Phase1 and Phase2
6. Proposed abstract document
7. Reference materials
8. Literature survey with Reference Document
9. Online Support ( Team viewer/ Ammy Admin)
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