An approach for pre-silicon power modeling

被引:0
|
作者
Agrawal, Prashant [1 ]
Srinivasa, R. S. T. G. [2 ]
Oke, Ajit N. [2 ]
Vijay, Saurabh [2 ]
机构
[1] Indian Inst Technol, CSE, Kharagpur 721302, W Bengal, India
[2] Intel Technol IP Ltd, MG I, Bangalore 560037, Karnataka, India
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Accurate estimation of power in pre-silicon is very important and finally to validate this against post-silicon measurement is essential throughout product lifecycle. Thermal Design Power (TDP)(1) estimates are used to design package thermal solutions. In this paper a modeling approach for dynamic power estimation under TDP conditions is proposed. In this approach, separate models are built for each partition in the design. The model uses only bandwidth and the effective toggle rate of the input data for estimating the total switched capacitance and dynamic power. The model takes into account the effect of cross-coupling capacitance on dynamic power The results obtained from the model are within 7% of the measured data.
引用
下载
收藏
页码:99 / +
页数:2
相关论文
共 50 条
  • [41] Knowledge Graph Embedding and Visualization for Pre-Silicon Detection of Hardware Trojans
    Utyamishev, Dmitry
    Partin-Vaisband, Inna
    2022 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 22), 2022, : 180 - 184
  • [42] Knowledge Graph Embedding and Visualization for Pre-Silicon Detection of Hardware Trojans
    Utyamishev, Dmitry
    Partin-Vaisband, Inna
    Proceedings - IEEE International Symposium on Circuits and Systems, 2022, 2022-May : 180 - 184
  • [43] HTtext: A TextCNN-based pre-silicon detection for hardware Trojans
    Xu, Yi
    Chen, Zhenyi
    Huang, Binhong
    Liu, Ximeng
    Dong, Chen
    19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021, 2021, : 55 - 62
  • [44] RTL-based models speed pre-silicon software checks
    Maliniak, David
    Electronic Design, 2003, 51 (25) : 44 - 48
  • [45] INTROSPECTRE: A Pre-Silicon Framework for Discovery and Analysis of Transient Execution Vulnerabilities
    Ghaniyoun, Moein
    Barber, Kristin
    Zhang, Yinqian
    Teodorescu, Radu
    2021 ACM/IEEE 48TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA 2021), 2021, : 874 - 887
  • [46] Augmenting Pre-Silicon Simulation by embedding a Scripting Language in a SystemC Environment
    Widhalm, Dominik
    Tauner, Stefan
    Horauer, Martin
    2016 12TH IEEE/ASME INTERNATIONAL CONFERENCE ON MECHATRONIC AND EMBEDDED SYSTEMS AND APPLICATIONS (MESA), 2016,
  • [47] HTtext: A TextCNN-based pre-silicon detection for hardware Trojans
    Xu, Yi
    Chen, Zhenyi
    Huang, Binhong
    Liu, Ximeng
    Dong, Chen
    19TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2021), 2021, : 55 - 62
  • [48] Security Properties Driven Pre-Silicon Laser Fault Injection Assessment
    Pundir, Nitin
    Li, Henian
    Lin, Lang
    Chang, Norman
    Farahmandi, Farimah
    Tehranipoor, Mark
    2022 IEEE INTERNATIONAL SYMPOSIUM ON HARDWARE ORIENTED SECURITY AND TRUST (HOST), 2022, : 9 - 12
  • [49] Multi-modal Pre-silicon Evaluation of Hardware Masking Styles
    Md Toufiq Hasan Anik
    Hasin Ishraq Reefat
    Wei Cheng
    Jean-Luc Danger
    Sylvain Guilley
    Naghmeh Karimi
    Journal of Electronic Testing, 2024, 40 (6) : 723 - 740
  • [50] A Pre-Silicon Detection Based on Deep Learning Model for Hardware Trojans
    Ma, Pengcheng
    Wang, Zhen
    Wang, Yong
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2024, 33 (08)