Date of Award
2003
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Shankar, Ravi
Abstract
High speed low power scalable multiplier is needed in computation intensive DSP applications such as video and image compression algorithms. We used an algorithm that folds the larger bit-width operands so smaller bit-width multipliers can be used. Successive folding on operands can be done until a desired threshold is reached. This method has inherent advantages of reuse of optimized building blocks, dynamic reconfiguration, and low power. We implemented a hardware multiplier based on this algorithm using Verilog hardware description language. Our results show that this multiplier exhibited significant power advantage over Array and Wallace Tree multipliers for comparable speeds, but had higher gate counts.
Extent
96 p.
Recommended Citation
Ajmera, Abhijit M., "Highly scalable multiplier" (2003). Electronic Theses and Dissertations 2000 - 2009. 555.
https://digitalcommons.fau.edu/etd_general_5/555
Identifier
FADT13080
Comments
College of Engineering and Computer Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.S.)--Florida Atlantic University, 2003.|College of Engineering and Computer Science