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

doi:10.1007/s11704-024-40066-w

Frontiers of Computer Science

2024, Vol. 18

Issue (6): 186211 https://doi.org/10.1007/s11704-024-40066-w

本期目录

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

Deyu TIAN¹, Yun MA^1,²(

), Yudong HAN², Qi YANG¹, Haochen YANG¹, Gang HUANG^1,³

¹. Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education,School of Computer Science, Peking University, Beijing 100871, China
². Institute for Artificial Intelligence, Peking University, Beijing 100871, China
³. National Key Laboratory of Data Space Technology and System, Beijing 100195, China

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收稿日期: 2024-01-12 出版日期: 2024-06-19

Corresponding Author(s): Yun MA

引用本文:

. [J]. Frontiers of Computer Science, 2024, 18(6): 186211.
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.

链接本文:

https://academic.hep.com.cn/fcs/CN/10.1007/s11704-024-40066-w
https://academic.hep.com.cn/fcs/CN/Y2024/V18/I6/186211

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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	D, Smilkov N, Thorat Y, Assogba A, Yuan N, Kreeger P, Yu K, Zhang S, Cai E, Nielsen D, Soergel S, Bileschi M, Terry C, Nicholson S N, Gupta S, Sirajuddin D, Sculley R, Monga G, Corrado F B, Viégas M Wattenberg . TensorFlow.js: machine learning for the Web and beyond. In: Proceedings of Machine Learning and Systems 2019. 2019
3	Y, Ma D, Xiang S, Zheng D, Tian X Liu . Moving deep learning into Web browser: how far can we go? In: Proceedings of the World Wide Web Conference. 2019, 1234−1244

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