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Design and Implementation of an Optimized 32-Operand Parallel Floating-Point Adder using CSA and Wallace Tree Architecture

Publication Type : Conference Paper

Publisher : IEEE

Source : 2025 International Conference on Robotics and Mechatronics (ICRM)

Url : https://doi.org/10.1109/icrm66809.2025.11349030

Campus : Amritapuri

School : School of Engineering

Center : Humanitarian Technology (HuT) Labs

Department : Electronics and Communication

Year : 2025

Abstract : This paper introduces a 32-operand floating-point adder operating at high speed, integrating a multi-level Carry-Save Adder (CSA) with the optimized Wallace Tree architecture to enhance multi-operand summation while being IEEE-754 compliant. Software simulations using 32 randomly generated operands (-100 to +100) produce almost a 50% decrease in execution time versus traditional sequential pairwise addition, emphasizing the virtues of reduction parallelism strategies. Although hardware parameters like area, power, and frequency weren't quantified, the architecture has a strong potential for integration within FPGA/ASIC accelerators, AI processors, digital signal processors, and other high-throughput computing devices. The design here explains how integrating CSA and Wallace Tree approaches can be effective in terms of floating-point addition performance and presents a scalable architecture for high-performance arithmetic designs.

Cite this Research Publication : Sreya Lekshmi Saji, Syamkrishna Mohanan, Rajesh Kannan Megalingam, Design and Implementation of an Optimized 32-Operand Parallel Floating-Point Adder using CSA and Wallace Tree Architecture, 2025 International Conference on Robotics and Mechatronics (ICRM), IEEE, 2025, https://doi.org/10.1109/icrm66809.2025.11349030

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