article

Comparison of OpenCL and RenderScript for mobile devices

Authors:

Seok-Kyoo KimAuthors Info & Claims

Multimedia Tools and Applications, Volume 75, Issue 22

Pages 14161 - 14179

https://doi.org/10.1007/s11042-016-3244-2

Published: 01 November 2016 Publication History

Abstract

With the recent advances in the programmability and performance of mobile Graphics Processing Units (GPUs), General-Purpose Graphics Processing Unit (GPGPU) technologies have become available even in mobile devices such as smartphones and tablets. Among the available GPGPU technologies for mobile devices, Open Computing Language (OpenCL) and RenderScript are used to accelerate applications in various fields such as computer graphics, image processing/recognition, and computer vision. For example, these technologies are used for detecting collisions and edges, processing data from a camera, recognizing an object in an image, processing the images stored on a device, and accelerating the drawing of an image when live wallpaper is used in Android-based devices. These technologies increase the processing speed as well as reduce the power consumption of mobile devices. In addition to these general applications, they have great potential for use in the optimizing algorithms of scientific fields. This paper describes GPGPU technologies for mobile devices, compares their similarities and differences, and compares their performance for further research purposes. To the best of our knowledge, this paper is the first work that compares and analyzes available GPGPU technologies for mobile devices.

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Digital Library

Cited By

Ghorbel ABen Amor NAbid M(2022)GPGPU-Based Parallel Computing of Viola and Jones Eyes Detection Algorithm to Drive an Intelligent WheelchairJournal of Signal Processing Systems10.1007/s11265-022-01783-294:12(1365-1379)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1007/s11265-022-01783-2

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Published In

cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 75, Issue 22

November 2016

1101 pages

ISSN:1380-7501

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Copyright © Copyright © 2016 Springer Science+Business Media New York.

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Kluwer Academic Publishers

United States

Publication History

Published: 01 November 2016

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Cited By

Ghorbel ABen Amor NAbid M(2022)GPGPU-Based Parallel Computing of Viola and Jones Eyes Detection Algorithm to Drive an Intelligent WheelchairJournal of Signal Processing Systems10.1007/s11265-022-01783-294:12(1365-1379)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1007/s11265-022-01783-2

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