View in EDS PDF Full Text

Comparison of OpenCL and RenderScript for mobile devices.

Saved in:
Bibliographic Details
Title: Comparison of OpenCL and RenderScript for mobile devices.
Authors: Kim, SeongKi1 skkim9226@gmail.com, Kim, Seok-Kyoo2 skkim@smu.ac.kr
Source: Multimedia Tools & Applications. Nov2016, Vol. 75 Issue 22, p14161-14179. 19p.
Subjects: OpenCL (Computer program language), Graphics processing units, Android (Operating system), Image processing, Mobile apps
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. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 118992003
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Comparison of OpenCL and RenderScript for mobile devices.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kim%2C+SeongKi%22">Kim, SeongKi</searchLink><relatesTo>1</relatesTo><i> skkim9226@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Seok-Kyoo%22">Kim, Seok-Kyoo</searchLink><relatesTo>2</relatesTo><i> skkim@smu.ac.kr</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Nov2016, Vol. 75 Issue 22, p14161-14179. 19p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22OpenCL+%28Computer+program+language%29%22">OpenCL (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Graphics+processing+units%22">Graphics processing units</searchLink><br /><searchLink fieldCode="DE" term="%22Android+%28Operating+system%29%22">Android (Operating system)</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=118992003
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11042-016-3244-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 14161
    Subjects:
      – SubjectFull: OpenCL (Computer program language)
        Type: general
      – SubjectFull: Graphics processing units
        Type: general
      – SubjectFull: Android (Operating system)
        Type: general
      – SubjectFull: Image processing
        Type: general
      – SubjectFull: Mobile apps
        Type: general
    Titles:
      – TitleFull: Comparison of OpenCL and RenderScript for mobile devices.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kim, SeongKi
      – PersonEntity:
          Name:
            NameFull: Kim, Seok-Kyoo
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 11
              Text: Nov2016
              Type: published
              Y: 2016
          Identifiers:
            – Type: issn-print
              Value: 13807501
          Numbering:
            – Type: volume
              Value: 75
            – Type: issue
              Value: 22
          Titles:
            – TitleFull: Multimedia Tools & Applications
              Type: main
ResultId 1