Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

14.4 A Fully Digital Current Sensor Offering Per-Core Runtime Power for System Budgeting in a 4nm-Plus Octa-Core CPU.

C. Lu, B. Huang, M. Chen, O. Tsai, A. Tsai, E. Fang, Y. Cho, H. Chen, P. Kao, E. Wang, H. Mair, and S. Hwang. ISSCC, page 260-262. IEEE, (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jia Wei

Wei Jia

Fang Wei

Wei Fang

Other publications of authors with the same name

35.1 An Octa-Core 2.8/2GHz Dual-Gear Sensor-Assisted High-Speed and Power-Efficient CPU in 7nm FinFET 5G Smartphone SoC.B. Huang, E. Fang, S. Hsueh, R. Huang, A. Lin, C. Chiang, Y. Lin, W. Hsieh, B. Chen, Y. Zhuang and 10 other author(s). ISSCC, page 490-492. IEEE, (2021)Vmin Prediction Using Nondestructive Stress Test.C. Chen, J. Liao, J. Li, H. Chen, and E. Fang. VTS, page 1-7. IEEE, (2023)ML-Assisted VminBinning with Multiple Guard Bands for Low Power Consumption.W. Lin, C. Chen, C. Hsieh, J. Li, E. Fang, and S. Hsueh. ITC, page 213-218. IEEE, (2022)Chip Performance Prediction Using Machine Learning Techniques.M. Su, W. Lin, Y. Kuo, C. Li, E. Fang, and S. Hsueh. VLSI-DAT, page 1-4. IEEE, (2021)A 5G Mobile Gaming-Centric SoC with High-Performance Thermal Management in 4nm FinFET.B. Huang, A. Tsai, L. Hsieh, K. Chang, C. Tsai, J. Chen, E. Fang, S. Hsueh, J. Ciao, B. Chen and 6 other author(s). ISSCC, page 40-41. IEEE, (2023)14.4 A Fully Digital Current Sensor Offering Per-Core Runtime Power for System Budgeting in a 4nm-Plus Octa-Core CPU.C. Lu, B. Huang, M. Chen, O. Tsai, A. Tsai, E. Fang, Y. Cho, H. Chen, P. Kao, E. Wang and 2 other author(s). ISSCC, page 260-262. IEEE, (2024)Machine-learning-based dynamic IR drop prediction for ECO.Y. Fang, H. Lin, M. Su, C. Li, and E. Fang. ICCAD, page 17. ACM, (2018)Automatic IR-Drop ECO Using Machine Learning.H. Lin, Y. Fang, S. Liu, J. Chen, C. Li, and E. Fang. ITC-Asia, page 7-12. IEEE, (2020)IR to routing challenge and solution for interposer-based design.E. Fang, T. Shih, and D. Huang. ASP-DAC, page 226-230. IEEE, (2015)Minimum Operating Voltage Prediction in Production Test Using Accumulative Learning.Y. Kuo, W. Lin, C. Chen, C. Hsieh, J. Li, E. Fang, and S. Hsueh. ITC, page 47-52. IEEE, (2021)

BibSonomy

Disambiguation of "Fang, Eric Jia-Wei"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

14.4 A Fully Digital Current Sensor Offering Per-Core Runtime Power for System Budgeting in a 4nm-Plus Octa-Core CPU.

Please choose a person to relate this publication to

Jia Wei

Wei Jia

Fang Wei

Fang Wei

Wei Fang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Fang, Eric Jia-Wei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 14.4 A Fully Digital Current Sensor Offering Per-Core Runtime Power for System Budgeting in a 4nm-Plus Octa-Core CPU.

Please choose a person to relate this publication to

Jia Wei

Wei Jia

Fang Wei

Fang Wei

Wei Fang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

14.4 A Fully Digital Current Sensor Offering Per-Core Runtime Power for System Budgeting in a 4nm-Plus Octa-Core CPU.