Efficient Mapping of Multiresolution Image Filtering Algorithms on Graphics Processors

Beitrag bei einer Tagung


Details zur Publikation

Autorinnen und Autoren: Membarth R, Hannig F, Dutta H, Teich J
Titel Sammelwerk: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Verlag: Springer-verlag
Verlagsort: Berlin / Heidelberg
Jahr der Veröffentlichung: 2009
Titel der Reihe: Lecture Notes in Computer Science (LNCS)
Band: 5657
Tagungsband: Proceedings of the 9th International Workshop on Systems, Architectures,Modeling, and Simulation (SAMOS)
Seitenbereich: 277-288
ISBN: 978-3-642-03137-3
ISSN: 0302-9743


Abstract


In the last decade, there has been a dramatic growth in research and development of massively parallel commodity graphics hardware both in academia and industry. Graphics card architectures provide an optimal platform for parallel execution of many number crunching loop programs from fields like image processing, linear algebra, etc. However, it is hard to efficiently map such algorithms to the graphics hardware even with detailed insight into the architecture. This paper presents a multiresolution image processing algorithm and shows the efficient mapping of this type of algorithms to the graphics hardware. Furthermore, the impact of execution configuration is illustrated and a method is proposed to determine the best configuration offline in order to use it at run-time. Using CUDA as programming model, it is demonstrated that the image processing algorithm is significantly accelerated and that a speedup of up to 33x can be achieved on NVIDIA's Tesla C870 compared to a parallelized implementation on a Xeon Quad Core. © 2009 Springer Berlin Heidelberg.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Dutta, Hritam
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Hannig, Frank PD Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Membarth, Richard
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Zitierweisen

APA:
Membarth, R., Hannig, F., Dutta, H., & Teich, J. (2009). Efficient Mapping of Multiresolution Image Filtering Algorithms on Graphics Processors. In Proceedings of the 9th International Workshop on Systems, Architectures,Modeling, and Simulation (SAMOS) (pp. 277-288). Island of Samos, GR: Berlin / Heidelberg: Springer-verlag.

MLA:
Membarth, Richard, et al. "Efficient Mapping of Multiresolution Image Filtering Algorithms on Graphics Processors." Proceedings of the 9th International Workshop on Systems, Architectures, Modeling, and Simulation (SAMOS Workshop), Island of Samos Berlin / Heidelberg: Springer-verlag, 2009. 277-288.

BibTeX: 

Zuletzt aktualisiert 2018-07-08 um 22:58