WPIA: accelerating DNN warm-up in Web browsers by precompiling WebGL programs

Deyu TIAN , Yun MA , Yudong HAN , Qi YANG , Haochen YANG , Gang HUANG

Front. Comput. Sci. ›› 2024, Vol. 18 ›› Issue (6) : 186211

PDF (2135KB)
Front. Comput. Sci. ›› 2024, Vol. 18 ›› Issue (6) : 186211 DOI: 10.1007/s11704-024-40066-w
Software
LETTER

WPIA: accelerating DNN warm-up in Web browsers by precompiling WebGL programs

Author information +
History +
PDF (2135KB)

Graphical abstract

Cite this article

Download citation ▾
Deyu TIAN, Yun MA, Yudong HAN, Qi YANG, Haochen YANG, Gang HUANG. WPIA: accelerating DNN warm-up in Web browsers by precompiling WebGL programs. Front. Comput. Sci., 2024, 18(6): 186211 DOI:10.1007/s11704-024-40066-w

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Google. Background features in google meet, powered by Web ML. See Research.google/blog/background-features-in-google-meet-powered-by website, 2020

[2]

Smilkov D, Thorat N, Assogba Y, Yuan A, Kreeger N, Yu P, Zhang K, Cai S, Nielsen E, Soergel D, Bileschi S, Terry M, Nicholson C, Gupta S N, Sirajuddin S, Sculley D, Monga R, Corrado G, Viégas F B, Wattenberg M. TensorFlow.js: machine learning for the Web and beyond. In: Proceedings of Machine Learning and Systems 2019. 2019

[3]

Ma Y, Xiang D, Zheng S, Tian D, Liu X. Moving deep learning into Web browser: how far can we go? In: Proceedings of the World Wide Web Conference. 2019, 1234−1244

RIGHTS & PERMISSIONS

Higher Education Press

AI Summary AI Mindmap
PDF (2135KB)

Supplementary files

Highlights

Supplementary materials

1092

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/