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- W2135484812 abstract "We demonstrate that for modern medical imaging applications, parallel implementations on traditional parallel architectures (clusters and multiprocessor servers) can be outperformed, both in terms of speed and cost-effectiveness, by new implementations on next-generation architectures like GPUs (Graphics Processing Units). Although, compared to clusters and multiprocessor servers, GPUs are rather small and much less expensive, they consist of several SIMD-processors and thus provide a high degree of parallelism. For an iterative image reconstruction algorithm---the list-mode OSEM--- we demonstrate, first, the limitations of parallel reconstructions with this algorithm on the traditional parallel architectures, and second, how the well-analyzed parallel strategies for traditional architectures can be adapted systematically to achieve fast reconstructions on the GPU." @default.
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- W2135484812 date "2008-05-05" @default.
- W2135484812 modified "2023-10-11" @default.
- W2135484812 title "Cost-effective medical image reconstruction" @default.
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- W2135484812 doi "https://doi.org/10.1145/1366230.1366278" @default.
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