Using OpenMP vs. Threading Building Blocks for Medical Imaging on Multi-cores

Authors:
Philipp Kegel;Maraike Schellmann;Sergei Gorlatch
Affiliations:
University of Münster, Germany;University of Münster, Germany;University of Münster, Germany
Venue:
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
Year:
2009

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Abstract

We compare two parallel programming approaches for multi-core systems: the well-known OpenMP and the recently introduced Threading Building Blocks (TBB) library by Intel®. The comparison is made using the parallelization of a real-world numerical algorithm for medical imaging. We develop several parallel implementations, and compare them w.r.t. programming effort, programming style and abstraction, and runtime performance. We show that TBB requires a considerable program re-design, whereas with OpenMP simple compiler directives are sufficient. While TBB appears to be less appropriate for parallelizing existing implementations, it fosters a good programming style and higher abstraction level for newly developed parallel programs. Our experimental measurements on a dual quad-core system demonstrate that OpenMP slightly outperforms TBB in our implementation.