To harness the computing power of supercomputers, HPC application algorithms have to be adapted to the underlying hardware. This is a costly and complex process which requires handling many algorithm variants. This paper studies the ability of the component model L2C to express and handle the variability of HPC applications. The goal is to ease application adaptation. Analysis and experiments are done on a 3D-FFT use case. Results show that L2C, and components in general, offer a generic and simple handling of 3D-FFT variants while obtaining performance close to well-known libraries.
CITATION STYLE
Lanore, V., Perez, C., & Richard, J. (2015). Towards application variability handling with component models: 3D-FFT use case study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9523, pp. 761–773). Springer Verlag. https://doi.org/10.1007/978-3-319-27308-2_61
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