Acceleration of multiresolution imaging algorithms: A comparative study
Membarth R, Kutzer P, Dutta H, Hannig F, Teich J (2009)
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2009
Pages Range: 211-214
Article Number: 5200033
Conference Proceedings Title: Proceedings of the 20th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)
Event location: Boston, MA
ISBN: 9780769537320
DOI: 10.1109/ASAP.2009.8
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.
Authors with CRIS profile
Richard Membarth
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Hritam Dutta
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Frank Hannig
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Jürgen Teich
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Related research project(s)
How to cite
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.
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