Acceleration of multiresolution imaging algorithms: A comparative study

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autor(en): Membarth R, Kutzer P, Dutta H, Hannig F, Teich J
Jahr der Veröffentlichung: 2009
Tagungsband: Proceedings of the 20th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)
Seitenbereich: 211-214
ISBN: 9780769537320


Abstract


In this paper we consider a multiresolution filter and its realization on the Cell BE and GPUs. We not only present common and specific optimization strategies undertaken for obtaining maximum performance on these architectures, but also how to obtain a speedup of 6.57x and 33.24x compared to an optimized OpenMP baseline implementation. Furthermore, we also undertake automated configuration space exploration of different partitioning possibilities for selection of best tiling parameters. © 2009 IEEE.



FAU-Autoren / FAU-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., Kutzer, P., Dutta, H., Hannig, F., & Teich, J. (2009). Acceleration of multiresolution imaging algorithms: A comparative study. In Proceedings of the 20th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP) (pp. 211-214). Boston, MA, US.

MLA:
Membarth, Richard, et al. "Acceleration of multiresolution imaging algorithms: A comparative study." Proceedings of the 2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors, ASAP 2009, Boston, MA 2009. 211-214.

BibTeX: 

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