Design of energy-efficient full subtractor circuit at near threshold computing for signal processing application

被引:0
|
作者
Basha, Mohammed Mahaboob [1 ]
Gundala, Srinivasulu [2 ]
Madhurima, V [3 ]
Khan, Arfat Ahmad [4 ]
机构
[1] Sreenidhi Inst Sci & Technol Autonomous, Dept Elect & Commun Engn, Hyderabad, India
[2] Lakireddy Bali Reddy Coll Engn, Dept Elect & Commun Engn, Mylavaram, Andhra Pradesh, India
[3] S V Coll Engn Autonomous, Dept Elect & Commun Engn, Tirupati, Andhra Pradesh, India
[4] Khon Kaen Univ, Coll Comp, Dept Comp Sci, Khon Kaen, Thailand
来源
ENGINEERING RESEARCH EXPRESS | 2024年 / 6卷 / 04期
关键词
CMOS; PERFORMANCE; ADDERS;
D O I
10.1088/2631-8695/ad81ce
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Energy Efficiency is a critical factor while designing integrated circuits. Therefore, a 1-bit full subtractor (FS) cell is proposed for lower power application by employing Gate Level Body Biasing (GLBB) scheme for Near Threshold Computing (NTC) application to conquer a unique module for achieving full swing borrow output.We evaluate power, delay, energy and the product of energy with delay (EDP) metrics with respect to C-CMOS full subtractor. The proposed feedback based with FS with GLBB technique has a total die area of 60.02 mu m2, while the average power, delay, and energy are 1138 pW, 242 ns, and 27.53 aJ, respectively. The results revealed that our proposed subthreshold hybrid FS circuit with GLBB scheme successfully achieved more than 10.46% average power consumption, 26.58% energy consumption reductions, and 17.98% EDP savings compared to conventional CMOS configuration and other hybrid counterparts. GLBB circuits with FS achieve performance levels that are not affordable in C-CMOS, DTMOS,and GLBB with full adder configurations. Therefore, the FS circuit serves as an efficient divider circuit in terms of detecting objects for image processing applications.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Optical signal processing for energy-efficient dynamic optical path networks
    Namiki, Shu
    Hasama, Toshifumi
    Ishikawa, Hiroshi
    2010 36TH EUROPEAN CONFERENCE AND EXHIBITION ON OPTICAL COMMUNICATION (ECOC), VOLS 1 AND 2, 2010,
  • [42] Energy-efficient signal processing via algorithmic noise-tolerance
    Hegde, Rajamohana
    Shanbhag, Naresh R.
    Proceedings of the International Symposium on Low Power Electronics and Design, Digest of Technical Papers, 1999, : 30 - 35
  • [43] Hibernets: Energy-Efficient Sensor Networks Using Analog Signal Processing
    Rumberg, Brandon
    Graham, David W.
    Kulathumani, Vinod
    Fernandez, Robert
    IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2011, 1 (03) : 321 - 334
  • [44] Advanced signal-processing algorithms for energy-efficient wireless communications
    Luschi, C
    Sandell, M
    Strauch, P
    Wu, JJ
    Ilas, C
    Ong, PW
    Baeriswyl, R
    Battaglia, F
    Karageorgis, S
    Yan, RH
    PROCEEDINGS OF THE IEEE, 2000, 88 (10) : 1633 - 1650
  • [45] BioCare: An Energy-Efficient CGRA for Bio-Signal Processing at the Edge
    Ebrahimi, Zahra
    Kumar, Akash
    2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2021,
  • [46] Energy-efficient digital signal processing teaching: A praat based approach
    Ubul, K. (kurbanu@xju.edu.cn), 1600, Sila Science, University Mah Mekan Sok, No 24, Trabzon, Turkey (31):
  • [47] Heterogeneous MP-SoC - The solution to energy-efficient signal processing
    Kogel, T
    Meyr, H
    41ST DESIGN AUTOMATION CONFERENCE, PROCEEDINGS 2004, 2004, : 686 - 691
  • [48] Energy-efficient neural networks with near-threshold processors and hardware accelerators
    Nunez-Yanez, Jose
    Howard, Neil
    JOURNAL OF SYSTEMS ARCHITECTURE, 2021, 116
  • [49] An energy-efficient analog circuit for detecting QRS complexes from ECG signal
    Morshedlou, Farnaz
    Orouji, Ali Asghar
    Ravanshad, Nassim
    INTEGRATION-THE VLSI JOURNAL, 2023, 88 : 390 - 399
  • [50] A real-time and energy-efficient SRAM with mixed-signal in-memory computing near CMOS sensors
    Diaz-Madrid, Jose-Angel
    Domenech-Asensi, Gines
    Ruiz-Merino, Ramon
    Zapata-Perez, Juan-Francisco
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2024, 21 (04)