Design and Performance Analysis of Novel Hybrid Adder

Authors

  • K. Srilakshmi
  • V. Venkata Ramana
  • P. Krishna Vamsi
  • S. Venkata Sai
  • Y. Sravani

Keywords:

Adder, Carry Lookahead Adder (CLA), Carry Select Adder (CSELA), Hybrid, Kogge Stone Adder (KSA), Ripple Carry Adder (RCA), XST synthesizer

Abstract

Historically, simpler adder designs were sufficient for early computing needs, but as technology advanced, the demand for faster and more efficient designs grew. Due to these requirements, hybrid adders came into existence. Most adders in today’s digital world, such as CSA or CLA, comprise many limitations such as high power consumption and more area. The demand for efficient digital circuits in high-performance computing and embedded systems necessitates the design of fast and area-efficient adders. In this work, some adders like KSA, CLA, CSELA, and RCA are designed which have some limitations. A hybrid adder comprising a combination of CLA and RCA is designed and implementation is done. CLA and RCA each offer distinct advantages and limitations—RCA being simple but slow, and CLA being fast but area-intensive. Hybrid adder designs attempt to combine the best features of different adders, but many suffer from increased complexity, power consumption, and diminishing returns regarding speed improvement. The RCA-CLA combinational hybrid adder is designed and implemented along with various hybrid adder combinations (like CSELA_KSA, CSELA_KSA_KSA), and performance analysis in Xilinx ISE 14.2 is performed in parameters like area in LUTs, delay in nanoseconds and power analysis in mW. Different adders are designed, modules using Verilog HDL and functionality is verified, and performance is analyzed and compared.

References

V. Shah, U. Fatak and J. Makwana, “Design and performance analysis of 32 Bit VLSI Hybrid adder,” 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2019, pp. 1070-1075, doi: https://doi.org/10.1109/ICOEI.2019.8862522

B. Annapoorani and P. Marikkannu, “Performance measurement of energy efficient and highly scalable hybrid adder,” Computer Systems Science and Engineering, vol. 45, no. 3, pp. 2659–2672, Jan. 2023, doi: https://doi.org/10.32604/csse.2023.025075

B. S. Kandula, M. J.S.S.D, K. S, and S. Patchala, “VLSI architecture of efficient hybrid multiplier using hybrid adder,” International Journal of Electrical and Electronics Engineering, vol. 10, no. 11, pp. 39–45, Nov. 2023, doi: https://doi.org/10.14445/23488379/ijeee-v10i11p104

W. Li, X. Chen, J. Bai, X. Ning, and Y. Wang, “Searching for energy-efficient hybrid adder-convolution neural networks,” Thecvf.com, pp. 1943–1952, 2022, Available: https://openaccess.thecvf.com/content/CVPR2022W/NAS/html/Li_Searching_for_Energy-Efficient_Hybrid_Adder-Convolution_Neural_Networks_CVPRW_2022_paper.html

A. Haripriya, S. Nagaraj and S. C, “Design and analysis of 16-bit Vedic Multiplier using RCA and CSLA,” 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), Karaikal, India, 2023, pp. 1-5, doi: https://doi.org/10.1109/IConSCEPT57958.2023.10170225

A. Patil, S. Kapare, G. Shinde, A. Tekade, M. Andhare and V. Kumbar, “Create a 32-bit Vedic Multiplier and compare it against other multipliers using a Carry Look-Ahead Adder,” 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-4, doi: https://doi.org/10.1109/INCET57972.2023.10170076

Y. K, G. R, S. S, T. R. T and V. T, “Design and simulation of 16×16 Vedic Multiplier using Kogge-Stone Adder,” 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2023, pp. 452-457, doi: https://doi.org/10.1109/ICCMC56507.2023.10083594

A. Sai Kumar, U. Siddhesh, N. Sai Kiran and K. Bhavitha, “Design of high-speed 8-bit Vedic Multiplier using Brent Kung Adders,” 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-5, doi: https://doi.org/10.1109/ICCCNT54827.2022.9984591

Published

2025-04-25

Issue

Section

Articles