liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Att använda OpenCL för att implementera median filtrering och RSA algoritmer : Två tekniska fallstudier inom GPGPU (Swedish)
Abstract [en]

Graphics Processing Units (GPU) and their development tools have advanced recently, and industry has become more interested in using them. Among several development frameworks for GPU(s), OpenCL provides a programming environment to write portable code that can run in parallel. This report describes two case studies of algorithm implementations in OpenCL. The first algorithm is Median Filtering which is a widely used image processing algorithm. The other algorithm is RSA which is a popular algorithm used in encryption. The CPU and GPU implementations of these algorithms are compared in method and speed. The GPU implementations are also evaluated by efficiency, stability, scalability and portability. We find that the GPU implementations perform better overall with some exceptions. We see that a pure GPU solution is not always the best and that a hybrid solution with both CPU and GPU may be to prefer in some cases.

Place, publisher, year, edition, pages
2015. , 85 p.
Keyword [en]
GPGPU, GPU, OpenCL, RSA, Median filtering
National Category
Computer Engineering
URN: urn:nbn:se:liu:diva-115786ISRN: LIU-IDA/LITH-EX-A–15/004–SEOAI: diva2:796645
External cooperation
Subject / course
Computer and information science at the Institute of Technology
Available from: 2015-03-20 Created: 2015-03-19 Last updated: 2015-03-20Bibliographically approved

Open Access in DiVA

fulltext(1425 kB)368 downloads
File information
File name FULLTEXT01.pdfFile size 1425 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Gillsjö, Lukas
By organisation
Software and SystemsThe Institute of Technology
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 368 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 654 hits
ReferencesLink to record
Permanent link

Direct link