NPUWattch

NPUWattch is an ML-based power, area, and timing (PAT) modeling tool.

Roadmap

v0.3 (Current) Add i3d's 20nm–2nm technology libraries. They can be used with the Synopsys toolchain.

• May 2026: Dataset and training support tools
• Jun. 2026: Additional neural network modules
• Aug. 2026: Timeloop and gem5 harnesses

Install

pip install -e .

Run

npuwattch -d description_file.yaml -l activity_log.txt -v 1

Citation

NPUWattch :

@inproceedings{kim_hpca2026,
    title       = {NPUWattch: ML-based Power, Area, and Timing Modeling for Neural Accelerators},
    author      = {Kim, Sehyeon and Kim, Minkwan and Park, Chanho and Park, Hanmok and Kim, Seonghoon and Song, Taigon and Song, William J.},
    booktitle   = {IEEE International Symposium on High-Performance Computer Architecture},
    month       = {Jan.},
    year        = {2026},
    pages       = {1-14},
}

Related technology libraries :

@inproceedings{shin_iscas2024,
    title       = {FS2K: A Forksheet FET Technology Library and a Study of VLSI Prediction for 2nm and Beyond}, 
    author      = {Shin, Yunjeong and Park, Daehyeok and Koh, Dohun and Heo, Dongryul and Park, Jieun and Lee, Hyundong and Kim, Jongbeom and Lee, Hyunsoo and Song, Taigon},
    booktitle   = {IEEE International Symposium on Circuits and Systems}, 
    month       = {May},
    year        = {2024},
    pages       = {1-5},
}

@article{kim_tvlsi2023,
    title       = {NS3K: A 3nm Nanosheet FET Standard Cell Library Development and Its Impact},
    author      = {Kim, Taehak and Jeong, Jaehoon and Woo, Seungmin and Yang, Jeonggyu and Kim, Hyunwoo and Nam, Ahyeon and Lee, Changdong and Seo, Jinmin and Kim, Minji and Ryu, Siwon and Oh, Yoonju and Song, Taigon},
    journal     = {IEEE Transactions on Very Large Scale Integration Systems},
    volume      = {31},
    number      = {2},
    month       = {Feb.},
    year        = {2023},
    pages       = {163-176},
}

Related Links

Technology Libraries from 20nm to 2nm

License

NPUWattch is released under the MIT license. See LICENSE for additional details. Thanks to the I3D VLSI Laboratory.

Questions

Leave github issues or please contact ikamusume@yonsei.ac.kr