Proposed Title:
FPGA Implementation of Approximate Wallace Tree Multiplier design using Approximate full adder based 4:2 compressor
Improvement of this project :
To design the Approximate 8×8 Wallace Tree Multiplier using Approximate Full adder and Half Adder
To design the 4:2 Compressor using Approximate Full Adder design
To design the Approximate 8×8 Wallace Tree Multiplier using Approximate Compressor design
High performance Ladner Fischer Parallel prefix adder used for final additions.
Software Implementation:
- Modelsim
- Xilinx
Proposed System:
In any digital gadgets application based arithmetic operations a multiplier will take major role to support several multiplication algorithms, by the way it’s taken more logic size and power consumptions. As per the research of last few decades among various multiplication algorithm, a Wallace tree multiplication will provide effective terms of low logic sizes and more speed of operations. In a recent arithmetic applications based circuit design will have more demand with high speed and low area, in this manner the proposed approach of this work will improve the speed of Wallace tree multiplier using approximate 4:2 compressors, approximate full adder and approximate half adder method. Thus, the proposed method will take less logic size and power consumptions compare to traditional Wallace tree multiplier. Similarly, the proposed multiplication will have designed using Verilog HDL, and Synthesis in Xilinx Vertex-5 FPGA, and hence proved all the parameters in terms of number of LUT, slice registers, IOB, delay and power.
” Thanks for Visit this project Pages – Buy It Soon “
Design and Implementation of an 8-bit Approximate Wallace Tree Multiplier for Energy Efficient Deep Neural Networks
Terms & Conditions:
- Customer are advice to watch the project video file output, before the payment to test the requirement, correction will be applicable.
- After payment, if any correction in the Project is accepted, but requirement changes is applicable with updated charges based upon the requirement.
- After payment the student having doubts, correction, software error, hardware errors, coding doubts are accepted.
- Online support will not be given more than 3 times.
- On first time explanations we can provide completely with video file support, other 2 we can provide doubt clarifications only.
- If any Issue on Software license / System Error we can support and rectify that within end of the day.
- Extra Charges For duplicate bill copy. Bill must be paid in full, No part payment will be accepted.
- After payment, to must send the payment receipt to our email id.
- Powered by NXFEE INNOVATION, Pondicherry.
Payment Method :
- Pay Add to Cart Method on this Page
- Deposit Cash/Cheque on our a/c.
- Pay Google Pay/Phone Pay : +91 9789443203
- Send Cheque through courier
- Visit our office directly
- Pay using Paypal : Click here to get NXFEE-PayPal link
Bank Accounts
HDFC BANK ACCOUNT:
- NXFEE INNOVATION,
HDFC BANK, MAIN BRANCH, PONDICHERRY-605004.
INDIA,
ACC NO. 50200013195971,
IFSC CODE: HDFC0000407.