Low-iteration hybrid computing CORDIC architecture

被引:0
|
作者
Bai, Na [1 ,3 ]
Qu, Ruizheng [1 ]
Xu, Yaohua [1 ]
Wang, Yi [1 ]
Chen, Xiaojie [1 ]
Li, Li [2 ,3 ]
机构
[1] Anhui Univ, Informat Mat & Intelligent Sensing Lab Anhui Prov, Hefei 230601, Peoples R China
[2] Jincheng Res Inst Opomechatron Ind, Jincheng 048000, Peoples R China
[3] Shanxi Key Lab Adv Semicond Optoelect Devices & In, Jincheng 048000, Peoples R China
关键词
Hybrid CORDIC algorithm; Rotation mode; Low iteration; Low hardware complexity; Faster computation; ALGORITHM;
D O I
10.1016/j.mejo.2024.106481
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
CORDIC (Coordinate Rotational Digital Computer) algorithm is widely used due to its simplicity and flexibility. The main drawbacks of CORDIC are its high number of iterations and the introduction of errors by scale factorization. To address these problems, this paper proposes a new hybrid CORDIC algorithm architecture which can effectively reduce the hardware complexity and decrease the number of iterations for faster computation by selecting rotation mode. After experimental comparisons, the number of iterations is reduced by about 3 times compared with the original research. This study verifies the feasibility of the proposed CORDIC algorithm architecture by calculating sine and cosine functions. The error between the calculated value and the true value is approximately 0.00004. This design uses 180-nm CMOS technology and operates at 1V, with an overall power consumption of 374 pJ. Compared to the current advanced CORDIC algorithm, the power consumption has been reduced by 1.5 %. Delay decreased by 12.8 %.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] MAREX: A general purpose hardware architecture for membrane computing
    Cascado-Caballero, Daniel
    Diaz-del-Rio, Fernando
    Cagigas-Muniz, Daniel
    Rios-Navarro, Antonio
    Guisado-Lizar, Jose-Luis
    Perez-Hurtado, Ignacio
    Riscos-Nunez, Agustin
    INFORMATION SCIENCES, 2022, 584 : 360 - 386
  • [42] Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search
    Yang, Shangshang
    Sun, Xiangkun
    Xu, Ke
    Liu, Yuanchao
    Tian, Ye
    Zhang, Xingyi
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2024, 8 (04): : 2919 - 2934
  • [43] A Hybrid Computing Solution and Resource Scheduling Strategy for Edge Computing in Smart Manufacturing
    Li, Xiaomin
    Wan, Jiafu
    Dai, Hong-Ning
    Imran, Muhammad
    Xia, Min
    Celesti, Antonio
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (07) : 4225 - 4234
  • [44] Implementation of Fingerprint Based Biometric System Using Optimized 5/3 DWT Architecture and Modified CORDIC Based FFT
    Bhairannawar, Satish S.
    Sarkar, Sayantam
    Raja, K. B.
    Venugopal, K. R.
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2018, 37 (01) : 342 - 366
  • [45] New Method for Real-Time Hybrid Testing with a Global Iteration Strategy
    Guo, Jin
    Zhao, Weigang
    Du, Yanliang
    Cao, Yuzhou
    Wang, Guan
    Zhang, Mengxuan
    JOURNAL OF STRUCTURAL ENGINEERING, 2018, 144 (12)
  • [46] A Novel Edge Computing Architecture Based on Adaptive Stratified Sampling
    Zhang, De-gan
    Ni, Chen-hao
    Zhang, Jie
    Zhang, Ting
    Yang, Peng
    Wang, Jia-xu
    Yan, Hao-ran
    COMPUTER COMMUNICATIONS, 2022, 183 : 121 - 135
  • [47] Hierarchical Computing Network Collaboration Architecture for Industrial Internet of Things
    Luo, Zihui
    Zheng, Xiaolong
    Wang, Bo
    Meng, Qifeng
    Cu, Helei
    Guo, Xiaobing
    Liu, Liang
    2022 IEEE 28TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS, ICPADS, 2022, : 57 - 64
  • [48] Multilayer perceptron architecture optimization using parallel computing techniques
    Castro, Wilson
    Oblitas, Jimy
    Santa-Cruz, Roberto
    Avila-George, Himer
    PLOS ONE, 2017, 12 (12):
  • [49] Learning a Hybrid Architecture for Sequence Regression and Annotation
    Zhang, Yizhe
    Henao, Ricardo
    Carin, Lawrence
    Zhong, Jianling
    Hartemink, Alexander J.
    THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, : 1415 - 1421
  • [50] A hybrid integrated architecture for energy consumption prediction
    Mate, Alejandro
    Peral, Jesus
    Ferrandez, Antonio
    Gil, David
    Trujillo, Juan
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2016, 63 : 131 - 147