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

来源：

ICCTA 2007: INTERNATIONAL CONFERENCE ON COMPUTING: THEORY AND APPLICATIONS, PROCEEDINGS | 2007年

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

页码：99 / +

页数：2

共 50 条

[41] Photon Emission Modeling and Machine-Learning Assisted Pre-Silicon Optical Side-channel Simulation
Li, Henian
Lin, Lang
Chang, Norman
Chowdhury, Sreeja
Mcguire, Dylan
Novakovic, Bozidar
Monta, Kazuki
Nagata, Makoto
Li, Ying-Shiun
Pramod, M. S.
Yeh, Piin-Chen
Jang, J. -S. Roger
Xi, Chengjie
Jin, Qiutong
Asadi, Navid
Tehranipoor, Mark
2024 IEEE INTERNATIONAL SYMPOSIUM ON HARDWARE ORIENTED SECURITY AND TRUST, HOST, 2024, : 107 - 111
[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] RTL-based models speed pre-silicon software checks
Maliniak, David
Electronic Design, 2003, 51 (25) : 44 - 48
[44] 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
[45] 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,
[46] 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
[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
Anik, Md Toufiq Hasan
Reefat, Hasin Ishraq
Cheng, Wei
Danger, Jean-Luc
Guilley, Sylvain
Karimi, Naghmeh
JOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS, 2024, 40 (06): : 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)

← 1 2 3 4 5 →