Abstract
Performance of parallel scientific applications is often heavily influenced by various mathematical kernels like linear algebra software that needs to be highly optimised for each particular platform. Parallel multi-dimensional Fast Fourier Transforms (FFT) fall into this category too. In this paper we describe a systematic methodology for benchmarking parallel application kernels using the ZENTURIO experiment management tool. We report comparative results on benchmarking two three dimensional FFT kernels on a Beowulf cluster.
This research is supported by the Austrian Science Fund as part of the Aurora project under contract SFBF1104.
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- Fast Fourier Transform
- Large Problem Size
- Fast Fourier Transform Algorithm
- Small Problem Size
- User Portal
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Prodan, R., Bonelli, A., Adelmann, A., Fahringer, T., Überhuber, C. (2004). Benchmarking Parallel Three Dimensional FFT Kernels with ZENTURIO. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science - ICCS 2004. ICCS 2004. Lecture Notes in Computer Science, vol 3037. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24687-9_58
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DOI: https://doi.org/10.1007/978-3-540-24687-9_58
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