Accelerating Deep Learning Tasks with Optimized GPU-assisted Image Decoding

In computer vision deep learning (DL) tasks, most of the input image datasets are stored in the JPEG format. These JPEG datasets need to be decoded before DL tasks are performed on them. We observe two problems in the current JPEG decoding procedures for DL tasks: (1) the decoding of image entropy d...

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Vydané v:	Proceedings - International Conference on Parallel and Distributed Systems s. 274 - 281
Hlavní autori:	Wang, Lipeng, Luo, Qiong, Yan, Shengen
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2020
Predmet:	Decoding Deep learning GPU Graphics processing units Hardware heterogeneous processing image decoding Iterative decoding parallel processing Task analysis Transform coding
ISSN:	2690-5965
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