Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/184236
Title: 16-bit high performance low power CMOS multiplier IC design
Authors: Liu, Xiangyu
Keywords: Engineering
Issue Date: 2025
Publisher: Nanyang Technological University
Source: Liu, X. (2025). 16-bit high performance low power CMOS multiplier IC design. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184236
Abstract: The growing computational demands of edge AI applications necessitate multiplier architectures that simultaneously achieve high performance and low power consumption. This paper presents a special Booth-Wallace multiplier design that successfully fulfills these dual objectives through innovative circuit-level optimizations. Employing Radix-4 Booth encoding and Wallace tree compression techniques, the proposed architecture incorporates several key low-power design strategies including module data reuse, optimized sign-bit encoding, and an improved 4:2 compressor structures. The design has a pipeline that maintains high-performance operation while effectively minimizing dynamic power dissipation. Implemented in Verilog HDL and verified through VCS+DC synthesis, this high-performance low-power multiplier demonstrates significant improvements over traditional design. The optimized architecture achieves a 112.8% frequency increase from 235MHz to 500MHz while simultaneously reducing power consumption by 10.2% to 1.7913mW. This performance enhancement is attained with a controlled 31% area increase, representing an optimal balance for power-constrained edge computing applications. Experimental results confirm that the proposed techniques effectively address the fundamental challenges of maintaining high-speed operation while reducing power consumption in modern multiplier designs.
URI: https://hdl.handle.net/10356/184236
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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