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- W1766577897 abstract "State of the art graphics processors provide high processing power and furthermore, the high programmability of GPUs offered by frameworks like CUDA increases their usability as high-performance co-processors for general-purpose computing. Sorting is well-investigated in Computer Science in general, but (because of this new field of application for GPUs) there is a demand for high-performance parallel sorting algorithms that fit to the characteristics of modern GPU-architecture. We present a high-performance in-place implementation of Batcher’s bitonic sorting networks for CUDA-enabled GPUs. We adapted bitonic sort for arbitrary input length and assigned compare/exchange-operations to threads in a way that decreases low-performance global-memory access and thereby greatly increases the performance of the implementation." @default.
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- W1766577897 date "2010-01-01" @default.
- W1766577897 modified "2023-09-23" @default.
- W1766577897 title "Fast In-Place Sorting with CUDA Based on Bitonic Sort" @default.
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- W1766577897 doi "https://doi.org/10.1007/978-3-642-14390-8_42" @default.
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