| Issue |
ITM Web Conf.
Volume 79, 2025
International Conference on Knowledge Engineering and Information Systems (KEIS-2025)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/itmconf/20257901009 | |
| Published online | 08 October 2025 | |
Design and Implementation of Braun Multiplier with Different Adder Architectures
1 Department of Electronics and Communication, KLE Technological University, Hubballi, India e-mail: 01fe22bec250@kletech.ac.in,suhasshirol@kletech.ac.in
2 Department of Electrical and Electronics, KLE Technological University, Hubballi, India e-mail: 01fe22bee055@kletech.ac.in,01fe22bee069@kletech.ac.in
* Corresponding author: suhasshirol@kletech.ac.in
This paper presents a high-performance, scalable Braun multiplier architecture implemented on FPGA, featuring advanced and hybrid adder topologies for enhanced power, area, and timing efficiency. The proposed system integrates Ripple Carry Adders (RCA), Brent-Kung Adders (BKA), Kogge-Stone Adders (KSA), and hybrid variants using structural Verilog, targeting both 4-bit and 32-bit designs. To address the limitations in conventional designs, this work introduces formal mathematical formulations for prefix logic, provides an algorithmic breakdown of carry propagation, and conducts a detailed power-delay-area (PDA) analysis. Implementations were carried out on a Xilinx Spartan-6 FPGA with post-place-and-route timing evaluation. Comparative analysis shows BKA yields the lowest LUT usage, while KSA achieves the minimum delay, making each suitable for low-power and high-speed applications respectively. Real-time signal monitoring using ChipScope ICON/VIO facilitates hardware-level debugging. The design offers a practical, energy-efficient, and modular solution for arithmetic-intensive applications in VLSI, embedded systems, and digital signal processing.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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