Paper
20 October 2023 The optimization of integer data formatted output based on a high-performance parsing software
Xin Chen, Xiangqi Kong, Yuling Chao, Mingjing Guo, Kai Wang, Yaofei Gao, Yaxi Hu, Shuo Zhao, Tingting Wei, Jieqiong Liu, Qing Lv, Haolun Ding
Author Affiliations +
Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 1281418 (2023) https://doi.org/10.1117/12.3010392
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China
Abstract
This paper focuses on optimizing integer data formatted output based on high-performance parsing software. We provide three methods for formatting integer fields and compare them with standard library functions sprintf in performance. These methods are experimentally proven to have reasonable practicality and usability.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xin Chen, Xiangqi Kong, Yuling Chao, Mingjing Guo, Kai Wang, Yaofei Gao, Yaxi Hu, Shuo Zhao, Tingting Wei, Jieqiong Liu, Qing Lv, and Haolun Ding "The optimization of integer data formatted output based on a high-performance parsing software", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 1281418 (20 October 2023); https://doi.org/10.1117/12.3010392
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KEYWORDS
Data acquisition

Design and modelling

Analytical research

Data communications

Data conversion

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