More Precise FPGA Power Estimation and Validation Tool (FPEV_Tool) for Low Power Applications

被引:0
|
作者
Gaurav Verma
Vijay Khare
Manish Kumar
机构
[1] Jaypee Institute of Information Technology,Department of Electronics and Communication Engineering
来源
关键词
Chip enable; Slice; Look up table; Statistical model; Power estimation;
D O I
暂无
中图分类号
学科分类号
摘要
This paper provides a significant approach for designing the more accurate power estimation and validation models over the existing power estimation models given in the literature. It is well established that one of the existing power estimation models is not able to accurately estimate the power of the designs incorporated with low power techniques like clock enable. In this paper, an improvement over the existing power estimation model has been suggested termed as FPEV_Tool. This tool is accurately estimating the power of both types of digital circuits i.e. designs with clock enable and without clock enable specifically, with an average error of approximately 3% and peak error of 17%, respectively. The accuracy of the proposed tool is validated using Xpower Analyzer available for power analysis in Xilinx ISE and existing model given in the literature by Deng et al. This tool helps researchers to validate and compare their results with the results of existing models and commercial tools available in the market. This tool also provides a new move toward the power estimation and validation to the researchers those are working in the field of low power digital circuit design.
引用
收藏
页码:2237 / 2246
页数:9
相关论文
共 50 条
  • [21] A power estimation framework for designing low power portable video applications
    Tsui, CY
    Chan, KK
    Wu, Q
    Ding, CS
    Pedram, M
    DESIGN AUTOMATION CONFERENCE - PROCEEDINGS 1997, 1997, : 421 - 424
  • [22] Tool for Automated Instruction Set Characterization for Software Power Estimation
    Wendt, Manuel
    Grumer, Matthias
    Steger, Christian
    Weiss, Reinhold
    Neffe, Ulrich
    Muehlberger, Andreas
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2010, 59 (01) : 84 - 91
  • [23] PETS: Power and Energy Estimation Tool at System-Level
    Rethinagiri, Santhosh-Kumar
    Palomar, Oscar
    Unsal, Osman
    Cristal, Adrian
    Ben-Atitallah, Rabie
    Niar, Smail
    PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN (ISQED 2014), 2015, : 535 - +
  • [24] Cool tool gives early chip-power estimation
    Lipman, J
    EDN, 1999, 44 (07) : 14 - 14
  • [25] STATE ESTIMATION - A NEW TOOL FOR POWER SYSTEM OPERATION.
    Dembecki, J.A.
    Litchfield, T.K.
    Couch, G.H.
    Sullivan, A.C.
    1974, : 69 - 72
  • [26] TMBleR: a bioinformatic tool to optimize TMB estimation and predictive power
    Fancello, Laura
    Guida, Alessandro
    Frige, Gianmaria
    Ceol, Arnaud Gerard Michel
    Babini, Gabriele
    Scaglione, Giovanni Luca
    Zanfardino, Mario
    Mazza, Tommaso
    Ferrando, Lorenzo
    Pelicci, Pier Giuseppe
    Mazzarella, Luca
    BIOINFORMATICS, 2022, 38 (06) : 1724 - 1726
  • [27] Educational Tool for Power System State Estimation Teaching and Learning
    Coutto Filho, Milton B. Do
    de Souza, Julio Stacchini
    Glover, John Duncan
    Flor, Vinicius Braga
    Nishio, Ayres
    Lima, Rafael
    Daibes, Joao Victor
    Quintanilha, Luiz
    Coimbra, Andrei
    Soares, Wellyngton
    Carneiro, Henrique
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2023, 38 (06) : 5885 - 5895
  • [28] Experimental identification of component loads in a power tool power-train through indirect measurement in realistically applications as an element of subsystem validation
    Matthiesen, S.
    Gwosch, T.
    Schaefer, T.
    Dueltgen, P.
    Pelshenke, C.
    Gittel, H. -J.
    FORSCHUNG IM INGENIEURWESEN-ENGINEERING RESEARCH, 2016, 80 (1-2): : 17 - 27
  • [29] Elliptic Curve Cryptography on FPGA for Low-Power Applications
    Keller, Maurice
    Byrne, Andrew
    Marnane, William P.
    ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, 2009, 2 (01)
  • [30] A Power availablE Estimation Tool for real-time estimation in aircraft generators
    Ordonez, Raul
    Hencey, Brandon M.
    Parry, Adam
    IET ELECTRIC POWER APPLICATIONS, 2024, 18 (08) : 962 - 980