Optimizing Sliding Performance in iOS

Zhao Qin; Wang Jing; Shen Qi Wei; Wang Jing Yu; Qi Qi

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Optimizing Sliding Performance in iOS

Zhao Qin 1,Wang Jing 2,Shen Qi Wei 2,Wang Jing Yu 2,Qi Qi 2 *

1.State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, P.R. China, 100876;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, P.R. China, 100876;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, P.R. China, 100876;State

*Correspondence author

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Funding: none

Opened online:30 November 2017

Accepted by: none

Citation: Zhao Qin,Wang Jing,Shen Qi Wei.Optimizing Sliding Performance in iOS[OL]. [30 November 2017] http://en.paper.edu.cn/en_releasepaper/content/4742034

How to improve iOS sliding performance has always been the focus of iOS application optimization. This paper analyzes the principle of AutoLayout and Frame view layout, the opportunity of network loading, CPU and GPU performance consumption during sliding process. First, we provide the appropriate solution to avoid using AutoLayout, and adjust the time of network loading by preloading to reduce the waiting time dynamically. Pre-cache and asynchronous rendering to reduce the main thread CPU consumption is implemented to reduce the main thread CPU consumption, and at the same time, GPU consumption is reduced by asynchronous rendering. Finally, verify the feasibility and effectiveness of the optimization scheme by experiments. It is verified that the percentage of the main thread CPU consumption decreases by 17.2% and FPS increases from 37Hz to 60Hz.

Keywords:Compute Application Technology; Sliding Performance; AutoLayout; Pre-cache; Asynchronous

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