The main objective appears to be designing an energy-efficient, compact approximate multiplier suitable for error-resilient applications
Abstract:
This paper introduces innovative methods to improve system performance via approximate computing, focusing on energy efficiency, speed, and compact design. It presents two novel compressor architectures: an 8-transistor and a 14-transistor 4:2 compressor, both leveraging CMOS technology with unique approximation techniques. These designs significantly reduce negative errors and eliminate the need for expensive error recovery modules, enhancing overall performance. The 14-transistor version offers a trade-off between accuracy and area, balancing compactness with precision. Additionally, the authors evaluate a compressor-tailored circuit architecture through image multiplication, demonstrating substantial area savings and reduced power-delay product. Overall, their approximate multiplier outperforms traditional exact multipliers in terms of accuracy and efficiency.
Key words:
Approximate computing, Compressor, Multiplier, Image Multiplication.
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Software Requirements:
· Xilinx Vivado Tool
· HDL: Verilog
Hardware Requirements:
· Microsoft® Windows XP
· Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support
· 512 MB RAM
· 100 MB of available disk space
o Data Flow modelling
o Structural modelling
o Behavioural modelling
o Mixed level modelling
· Xilinx ISE 14.7/Xilinx Vivado for design and simulation
· Generation of Netlist
· Solution providing for real time problems
· Project Development Skills:
o Problem Analysis Skills
o Problem Solving Skills
o Logical Skills
o Designing Skills
o Testing Skills
o Debugging Skills
o Presentation Skills
o Thesis Writing Skills