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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Deconvolution of 3D Fluorescence Microscopy Images Using Graphics Processing Units
verfasst von : Luisa D’Amore, Livia Marcellino, Valeria Mele, Diego Romano
Erschienen in: Parallel Processing and Applied Mathematics
Verlag: Springer Berlin Heidelberg
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We consider the deconvolution of 3D Fluorescence Microscopy RGB images, describing the benefits arising from facing medical imaging problems on modern graphics processing units (GPUs), that are non expensive parallel processing devices available on many up-to-date personal computers. We found that execution time of CUDA version is about 2 orders of magnitude less than the one of sequential algorithm. Anyway, the experiments lead some reflections upon the best setting for the CUDA-based algorithm. That is, we notice the need to model the GPUs architectures and their characteristics to better describe the performance of GPU-algorithms and what we can expect of them.