Efficient Design of Rounding-Based Approximate Multiplier Using Modified Karatsuba Algorithm

被引:0
|
作者
E. Jagadeeswara Rao
K. Tarakeswara Rao
K. Sudha Ramya
D. Ajaykumar
R. Trinadh
机构
[1] Vignan’s Institute of Engineering for Women,Department of Electronics and Communication Engineering
[2] GITAM (Deemed to be University),Department of Electronics and Communication Engineering
[3] Government Polytechnic for Women,Department of Electronics and Instrumentation Engineering
[4] Sir C.R. Reddy College of Engineering,Department of ECE, West Godavari District
来源
关键词
Arithmetic operations; Wallace tree multiplier; Karatsuba multipliers;
D O I
暂无
中图分类号
学科分类号
摘要
Arithmetic operations play a substantial role in many applications, such as image processing. In image processing applications, a multiplier is a predominantly used arithmetic operation. In recent designs of Approximate Multipliers (AMs), the design metrics of multipliers are made better at the cost of Error metrics and vice versa. So, in order to balance both the error and design metrics in a multiplier design with increasing the width of the input operands, a Rounding-based AM (RAM) using a modified Karatsuba algorithm is proposed, in which the usage of the number of multipliers is reduced. Small multipliers are used with shifting and rounding operations so as to reduce power consumption, delay, and area. Both the prior and proposed AMs are later synthesized in Verilog HDL using the Cadence RTL compiler. The simulation results divulge that the proposed RAM of sizes 8 and 16 bits are designed and their performance metrics in terms of delay, and area are decreased on an average of 61.8%, and 52.6% with an improvement in power by 53.8% for 8-bit AM and also the delay, area and power are reduced on an average of 53.2%, 59.7%, and 25% for a 16-bit AM’s, in comparison with the prior AMs. The proposed RAM is demonstrated using the smoothening image application, and we observe that an improved image quality is obtained with SSIM and PSNR of the ISFA incorporated proposed RAM within the range of 1.44%—84.47% and 0.28%- 24.4%, over the ISFA incorporated existing AMs.
引用
收藏
页码:567 / 574
页数:7
相关论文
共 50 条
  • [31] Efficient Hybrid GF (2m) Multiplier for All-One Polynomial Using Varied Karatsuba Algorithm
    Zhang, Yu
    Li, Yin
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2021, E104A (03) : 636 - 639
  • [32] Digit-Serial Versatile Multiplier Based on a Novel Block Recombination of the Modified Overlap-Free Karatsuba Algorithm
    Lee, Chiou-Yng
    Xie, Jiafeng
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2019, 66 (01) : 203 - 214
  • [33] An efficient approximate multiplier: Design, error analysis and application
    Zakian, Pegah
    Asli, Rahebeh Niaraki
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2024, 180
  • [35] Space Efficient GF (2m) Multiplier for Special Pentanomials Based on n-Term Karatsuba Algorithm
    Park, Sun-Mi
    Chang, Ku-Young
    Hong, Dowon
    Seo, Changho
    IEEE ACCESS, 2020, 8 : 27342 - 27360
  • [36] Hardware Efficient Fast FIR Filter Based on Karatsuba Algorithm
    Kyritsis, Evangelos
    Pekmestzi, Kiamal
    2016 5TH INTERNATIONAL CONFERENCE ON MODERN CIRCUITS AND SYSTEMS TECHNOLOGIES (MOCAST), 2016,
  • [37] Energy-Efficient Approximate Multiplier Design With Lesser Error Rate Using the Probability-Based Approximate 4:2 Compressor
    Krishna, L. Hemanth
    Sk, Ayesha
    Rao, J. Bhaskara
    Veeramachaneni, Sreehari
    Sk, Noor Mahammad
    IEEE EMBEDDED SYSTEMS LETTERS, 2024, 16 (02) : 134 - 137
  • [38] Design of recustomize finite impulse response filter using truncation based scalable rounding approximate multiplier and error reduced carry prediction approximate adder for image processing application
    Senthilkumar, S.
    Samuthira Pandi, V.
    Sripriya, T.
    Pragadish, N.
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2023, 35 (08):
  • [39] Design and realization of area-efficient approximate multiplier structures for
    Anguraj, Parthibaraj
    Krishnan, Thiruvenkadam
    MICROPROCESSORS AND MICROSYSTEMS, 2023, 102
  • [40] Design of an Approximate Multiplier with Time and Power Efficient Approximation Methods
    Liu, Ruyi
    Duan, Wei
    Luo, Xiaodie
    Ren, Qian
    Li, Yifan
    Song, Min
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2023, 32 (14)