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Reseach Article

High Speed Compressor based Adder using XOR-XNOR Gate: A Study

by Monika Singh, Prashant Chaturvedi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 23
Year of Publication: 2022
Authors: Monika Singh, Prashant Chaturvedi
10.5120/ijca2022922272

Monika Singh, Prashant Chaturvedi . High Speed Compressor based Adder using XOR-XNOR Gate: A Study. International Journal of Computer Applications. 184, 23 ( Jul 2022), 12-15. DOI=10.5120/ijca2022922272

@article{ 10.5120/ijca2022922272,
author = { Monika Singh, Prashant Chaturvedi },
title = { High Speed Compressor based Adder using XOR-XNOR Gate: A Study },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2022 },
volume = { 184 },
number = { 23 },
month = { Jul },
year = { 2022 },
issn = { 0975-8887 },
pages = { 12-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number23/32456-2022922272/ },
doi = { 10.5120/ijca2022922272 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:22:14.382712+05:30
%A Monika Singh
%A Prashant Chaturvedi
%T High Speed Compressor based Adder using XOR-XNOR Gate: A Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 23
%P 12-15
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multiplier is an essential block of a computing device. Multipliers are commonly used for signal and image processing applications where multipliers are used to perform various tasks like convolution, correlation and filtering. Multipliers are not only a high delay component but also dissipate high amount of power. It is necessary to increase the speed of multipliers as the demand of high speed processors is increasing. Moreover, multipliers is an integral part of any processor and are utilized by the processors to complete signal processing tasks. Optimizing performance of multipliers provides better results in digital signal processors. In multiplier, reduction of partial products takes more time and consumes high power. A huge number of adders are used to perform the partial product reduction operation. Optimizing the partial products reduction is a challenging task for researchers. Compressors take more inputs at a time and are able to process partial products in a faster way compared to conventional adders. Use of compressors in the partial product reduction helps to minimize the delay but not power consumption.

References
  1. Tianqi Kong and Shuguo Li, “Design and Analysis of Approximate Compressors for High- Accuracy Multipliers”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 29, No. 10, October 2021.
  2. A. G. M. Strollo, E. Napoli, D. De Caro, N. Petra, and G. D. Meo, “Comparison and extension of approximate 4-2 compressors for lowpower approximate multipliers,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 67, no. 9, pp. 3021–3034, Sep. 2020.
  3. Z. Gu and S. Li, “A Division-Free Toom–Cook Multiplication-Based Montgomery Modular Multiplication,” IEEE Trans. Circuits Syst. II Express Briefs, vol. 66, no. 8, pp. 1401–1405, Aug. 2019.
  4. R. Liu and S. Li, “A design and implementation of montgomery modular multiplier,” in Proceedings - IEEE International Symposium on Circuits and Systems, 2019, vol. 2019-May.
  5. Ranjan Kumar Barik, Manoranjan Pradhan and Rutuparna Panda, “Time Efficient Signed Vedic Multiplier Using Redundant Binary Representation”, Journal Engineering, Vol. 17, Issue 3, pp. 60–68, march 2017.
  6. Basant Kumar Mohanty, and Pramod Kumar Meher, “High-Performance FIR Filter Architecture for Fixed and Reconfigurable Applications”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 78, No.06, April 2016.
  7. L kholee phimu and Manoj Kumar, “Design and Implementation of Area Efficient 2-Parallel Filters on FPGA using Image System”, International Conference on Energy, Communication, Data Analytics and Soft Computing, IEEE 2017.
  8. Vijaya Lakshmi Bandi, “Performance Analysis for Vedic Multiplier Using Modified Full Adders”, International Conference on Innovations in Power and Advanced Computing Technologies, IEEE 2017.
  9. G. Challa Ram and D Sudha Rani, “Area Efficient Modified Vedic Multiplier”, International Conference on Circuit, Power and Computing Technologies (ICCPCT), 2016.
  10. S. P. Pohokar, R. S. Sisal, K. M. Gaikwad, M. M. Patil and Rushikesh Borse, “Design and Implementation of 16 x 16 Multiplier Using Vedic Mathematics”, International Conference on Industrial Instrumentation and Control (ICIC) College of Engineering Pune, India, PP. No. 01-06, 2015.
  11. Gokhale and P. D. Bahirgonde, “Design of Vedic Multiplier using Area-Efficient Carry Select Adder”, 4th IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI-2015), Kochi, pp. 10-13, August 2015, India.
  12. G. Gokhale and Mr. S. R. Gokhale, “Design of Area and Delay Efficient Vedic Multiplier Using Carry Select Adder”, 4th IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI-2015), Kochi, pp. 10-13, August 2015, India.
  13. Amina Naaz. S, Mr. Pradeep M.N, Satish Bhairannawar and Srinivas halvi, “FPGA Implementation Of High Speed Vedic Multiplier using CSLA For Parallel Fir Architecture”, 2nd International Conference on Devices, Circuits and Systems (ICDCS), IEEE 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Compressor Compressor Based Adder XOR-XNOR Gate Different Input