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.

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Front. Comput. Sci. ›› 2024, Vol. 18 ›› Issue (6) : 186211. DOI: 10.1007/s11704-024-40066-w
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WPIA: accelerating DNN warm-up in Web browsers by precompiling WebGL programs

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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 https://doi.org/10.1007/s11704-024-40066-w

References

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

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 62102009) and the Beijing Outstanding Young Scientist Program (No. BJJWZYJH01201910001004).

Competing interests

The authors declare that they have no competing interests or financial conflicts to disclose.

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Supplementary material is available in the online version of this article at journal.hep.com.cn and link.springer.com.

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